Data Science Internship jobs at Warner Bros. - 227 jobs

Hourly Pay Range: $34.41 - $53.34 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Data Analytics Analyst II * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position: onsite 1-2x per week, rotating between Corporate locations. Job Summary: As the Data Analytics Analyst II at Endeavor Health, you will be responsible for providing analytical support to Endeavor Health's Research Institute (RI) as a whole. This includes gathering, analyzing and reporting on various types of data and communicating results of analysis to research teams, corporate and divisional management. This position will serve as key subject matter expert on Endeavor's data and reporting systems which are out of Epic, Data warehouse, Vizient, PowerBI and other reporting tools for customers at all levels of the organization. Endeavor Research Institute is an established research entity of the organization and is among the most prominent and accomplished research organizations in the nation. It has recently undergone a comprehensive transformation into a scalable research entity comprised of 8 Clinical Research Units (CRU) serving every clinical research need of the organization and inspiring new research ideas among clinicians and scientists serving patients of Endeavor Health. The Data Analytics research analytics team is positioned under IT and RI as the 9th CRU, called CRU9 and serves all of the research analytics needs of Endeavor. To be successful in this role, you will be expected to remain updated on the latest solutions and technologies and advocate for the adoption of industry best practices. Our ideal candidate would also have research background, with an additional benefit of having prior exposure to Women's Health Services research. What you will do: * Participate in the analytics-based improvement projects that leverage data collected from electronic medical record to measure patient outcomes. * Gather business requirements by conducting meetings with primary research investigators (PI). * Produces valuable insights from data and contributes to making evidence-based decisions. * Design and develop reports, dashboards, and data insights using skills developed using analytics software and programming languages. * Work with RI scientists and clinicians to analyze data that will help drive decisions on patient centered interventions, compete for new external funding from NIH, NSF, and private sources, support clinical trials with data insights, and help share acquired knowledge from research via journal publications and conference presentations. * Contribute to drafting and refining research manuscripts, providing input on data analysis and data visualization, contributing to the methods, discussion and results sections, ensuring analysis methods and findings are accurately represented. * Assist and coach newer researchers on study design, ensuring adherence to best practices. * Perform data preprocessing, cleaning, and transformation tasks, ensuring datasets are properly structured and ready for analysis. * Partner with the data science team to conduct in-depth data analysis. Ensure the integrity, accuracy, and consistency of research data throughout the process. * Act as a data steward, ensuring adherence to data security and privacy guidelines when sharing data with the research teams. Monitor compliance with data protection protocols, ensuring that all data sharing follows organizational policies and regulatory requirements. * Manage and maintain large datasets, ensuring they are properly stored, organized, and accessible to all research team members. Identify potential issues in data collection or processing and proactively resolve discrepancies or gaps before they impact the research outcomes. * Work with data warehouse experts to design and develop data engineering requirements in the Enterprise Data Warehouse. * Utilize data analysis techniques and tools to assess data quality, identify patterns, trends, and anomalies, and generate insights to improve data reliability * Ensure all developed solutions are tuned to meet acceptable system performance thresholds. * Remains updated on latest healthcare technologies available in the market and promotes the adoption of relevant technologies. Engaged with industry related organizations, such as HIMSS, Epic UGM / XGM, Vizient, Microsoft/PowerBI as appropriate. * Be part of a talented innovative high-performing team that loves what it does, takes pride in its analytics work and impacts across the organization, and is a friendly group where everyone works well with each other. What you will need: * Education: Bachelor's degree in Business, IT, Basic Science or equivalent work experience. Master's or Terminal/Doctorate preferred. * Certification: not required upon hire, will have opportunity to attend training to receive Epic certification(s). * Experience: Five (5) or more years of relevant experience. * Unique or Preferred Skills: * Exposure to electronic health records (EHR) - Epic ideal. * Familiarity with healthcare industry or healthcare information systems. * Statistical or mathematical skills or experience working with statistics packages (Python, SPSS, SAS, R etc.). * Prior work experience in Research. * Prior exposure to data and research projects related to OBGYN/Women's Health Services. * Epic certifications related to data analytics, i.e. Cogito, Clarity, Caboodle, Healthy Planet, Clinical Data. * Strong intellectual curiosity. * 4-year college degree in information systems, computer science, mathematics, finance, statistics, or a related field. * Demonstrated proficiency in writing complex database queries using SQL or other related tools or languages. * Experience and understanding of analytics databases, warehouse, datalakes for both traditional/relational and non-traditional systems (e.g. Oracle, MS-SQL Server, Hadoop, Spark, etc.). * Experience with data visualization tools (e.g. Tableau, Power BI, QlikView, etc.). * Skilled in Utilizing Process/Performance improvement methodologies (IHI, Lean, Six Sigma, etc.). * Analytic, problem solving, and issue resolution skills. * Demonstrated written and verbal communication skills. Benefits (For full time or part time positions): * Incentive pay for select positions * Opportunity for annual increases based on performance * Career Pathways to Promote Professional Growth and Development * Various Medical, Dental, Pet and Vision options * Tuition Reimbursement * Free Parking * Wellness Program Savings Plan * Health Savings Account Options * Retirement Options with Company Match * Paid Time Off and Holiday Pay * Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals - Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) - all recognized as Magnet hospitals for nursing excellence. For more information, visit *********************** When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potentia

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in realizing their financial goals and saving time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. We're focused on powering opportunities, which is why the Experian Summer Internship Program gives students across the country the chance to apply their education to real-world challenges through meaningful, hands-on projects. Rooted in our 'People First' philosophy, our interns experience firsthand our commitment to personal and professional development. Proudly named one of the Top 100 Internship Programs three years in a row, we invite you to join us and explore your potential with a team that's invested in your growth. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Responsibilities: Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues Design data structures and storage schemes for efficient handling Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting Conduct Return on investment and benefit analysis Document and present model process and model performance Qualifications Currently enrolled in a PhD degree program in CS, Physics, or a related field Return to school in Fall 2026 to complete degree Experience in analytics, data mining, or predictive modeling Experience with regression, Neural Network, or ensemble methods Proficient in Python, R, Java, C++, or C Experience with Generative AI and algorithms/applications of Quantum Computing Additional Information Benefits/Perks: Fully remote Volunteer Time Off Great compensation Flexible work schedule Eligible for 401(k) participation in 90 days At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote #EarlyCareers

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also assist millions of people in realizing their financial goals and saving time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. We're focused on powering opportunities, which is why the Experian Summer Internship Program gives students across the country the chance to apply their education to real-world challenges through meaningful, hands-on projects. Rooted in our 'People First' philosophy, our interns experience firsthand our commitment to personal and professional development. Proudly named one of the Top 100 Internship Programs three years in a row, we invite you to join us and explore your potential with a team that's invested in your growth. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Experian NA Innovation Lab is a R&D unit at Experian formed with the desire to work in collaboration with Experian's teams to enhance relationships with clients and acquire strategic datasets. Experian is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions. Using our comprehensive understanding of individuals, markets and economies, we help organizations manage customer relationships to make their businesses more profitable. You will be part of the Experian North America R&D Data Lab concentrating on research and development of novel analytical solutions, new product prototyping, and new data asset evaluation and acquisition. This position requires background and knowledge in machine learning and data mining. Previous experience analyzing large datasets and developing data-driven statistical models is desirable. Responsibilities: + Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources + Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques + Refine data manipulation and retrieval through the design of efficient data structures and storage solutions + Innovate with tools designed for data processing and information retrieval + Dissect and document vast datasets, analyzing and processing them to highlight patterns and insights + Solve complex challenges by developing impactful algorithms + Ensure model excellence by validating performance scores and analyzing ROI and benefits + Articulate model processes and outcomes, documenting and presenting findings and performance metrics + Return to school in the Fall of 2026 to complete degree program + Currently enrolled in a PhD degree program in Machine Learning, CS, Electrical Engineering, Physics, Statistics, Applied Math, or other quantitative fields + Experience in analytics, data mining, and/or predictive modeling + Experience modifying and applying advanced algorithms to address practical problems + Experience with deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and/or, reinforcement learning + Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas + Experience with large data analysis using Spark (py Spark preferred) + Proficient in more than one of Python, R, Java, C++, or C Benefits/Perks: + Fully remote + Volunteer Time Off + Great compensation + Flexible work schedule + Eligible for 401(k) participation in 90 days At Experian, our people and culture set us apart. We're deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others. Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site. Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Remote #EarlyCareers

Cadent ignites seamless connections between brands, publishers & consumers. Our predictive AI orchestrates outcomes on any platform customers are on, across any media they consume & at any stage of the journey. To learn more, please visit Cadent.com. As we continue to grow, we're looking for a Data Science Intern to join our Data Science team for Spring 2026. The Intern will have an opportunity to gain hands-on experience by working directly with our teams, not for them. Responsibilities The Intern will be responsible for fulfilling tasks set out by supervisors from the specific department they're working in, including but not limited to: Use Python, SQL, Shell scripting, and Cloud technologies and other department-specific software to complete day-to-day R&D assignments. *Python experience is required* Collaborate effectively with other members of the engineering research team and broader data services group including but not limited to Data Scientists, Data Engineers, Analytics Engineers, Performance Engineers, Software Engineers and Business Intelligence Analysts Conduct research and present findings to the MLE team and business stakeholders Collaborate with the team in Agile Sprint Planning, demos, seminars, and other team meetings. Qualifications A senior pursuing a Master's degree at a college or university majoring in a field closely related to the department they are interning preferably computer science or related field Able to commit to a part-time (20 hours per week) work schedule between March 2, 2026 - May 8, 2026. Proficient in Python SQL, and Shell scripting, with some knowledge Docker containerization and Cloud data processing technologies Background in software engineering and knowledge of statistical concepts Excellent verbal and written communicators Self-motivated with a desire to learn from a rapidly growing company Confident to take initiative and collaborate with teammates So, if the leading edge of media technology is the place you want to be, please contact us today and let's start the conversation! Cadent is an Equal Opportunity Employer and is committed to supporting all it's employees when it comes to Inclusion & Diversity. Cadent's policy is to provide equal opportunity for applicants & employees without regard to race, color, religion, creed, gender, gender identity or expression, sexual identity or orientation, age, national origin or ancestry, citizenship, disability or medical condition (including pregnancy, childbirth, or related medical condition), sexual and reproductive health decisions, genetic information, marital status (including domestic partnerships and civil unions), pregnancy, culture ancestry, familial or caregiver status, military status, veteran status, socioeconomic status, unemployment status, status as a victim of domestic violence or any other basis prohibited by law. and will not discriminate against the basis of disability. This commitment is honored when it comes to decisions on hiring, recruiting, training, promotions, compensations, benefits, transfers and terminations. Cadent is seeking to actively engage with our employees from a wide variety of cultures and to connect with our clients differently. Our workforce has generational diversity that supports greater innovation when we maximize representation of all diversity. Our active employee resource groups promote engagement across all groups of individuals that are represented within the company and externally Pay Range USD $20.00 - USD $25.00 /Hr.

About the Company Rain makes the next generation of payments possible across the globe. We're a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and provide them a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed up fraud detection and response, and creating risk rules and strategies empowered with ML models. We are a pillar of the business supporting new products and ensuring their success. Rain's next generation payment technology brings unique and new fraud vectors requiring holistic, end-to-end thinking, strong data fundamentals and fraud management savvy to combat. What you'll do Own the metrics, dashboards, and reports that inform business strategy and decision-making Design and implement real-time monitoring systems for fraud signals and alerting thresholds Design, simulate, and implement real-time risk controls using real-time and offline predictive ML models Balance risk controls with customer experience by focusing on loss savings, reduced user friction, and margin improvement Partner with go-to-market teams to demonstrate the technical and business value of risk controls to customers Effectively summarize complex analytical results to leadership and non-technical stakeholders Assist partners when they have fraud concerns with their traffic What we're looking for Advanced proficiency in SQL and Python 3+ years hands-on experience working on automated fraud risk strategies and experimentation (A/B tests), including implementation of real-time and offline predictive ML models Skilled in designing, building, and maintaining dashboards and fraud risk metrics The ability to manage ambiguous problems and find solutions High autonomy, including the ability to prioritize your workload effectively Relevant quantitative bachelor's (or higher) degree (Statistics, Mathematics, Engineering, Computer Science, etc.) Nice to have, but not mandatory Experience at a high-growth fintech company or financial services company Exposure to customer-facing or GTM-facing analytics or fraud issue triaging Background in identity risk, AML, payments fraud, or compliance analytics Things that enable a fulfilling, healthy, and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off. Flexible working ☕ We support a flexible workplace. If you feel comfortable at home, please work from home. If you'd like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment. Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan. Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success. Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing. Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.

Your Job The Data Governance Analyst is accountable for designated data and processes across the Consumer Products Group (CPG). This role helps develop and operationalize data governance principles, partners across business and technology teams, and ensures data quality standards are achieved. The preferred candidate possesses extensive knowledge of data governance and demonstrates a passion in wanting to grow, challenge the status quo and transform this capability. What You Will Do Overall Collaborate with cross functional teams to transform the process and procedures to profitably scale the breadth and depth of data governance capabilities in an Agentic Business Environment. Data Governance Assist in the design and implementation of the overall CPG data governance strategy; ensure adherence to related policies, standards and compliance requirements. Implement and manage data governance tools; provide training and enablement to users on these tools for effective adoption. Partner with Business and IT Subject Matter Experts (SMEs) to identify critical data elements, integrations and rollups across business segments and capabilities. Create and maintain a business glossary and metrics data dictionary with clear, unambiguous business definitions and rules for data elements. This includes working with Business, Business Effectiveness Reporting Team and IT to evaluate new attributes or metrics for consistency and compliance with standards. Participate in change management activities to resolve data quality and process issues; challenge is to have consistent information across systems. Data Quality Define and implement data quality business rules, standards and metrics (accuracy, completeness, consistency). Monitor and report on data quality metrics; communicate findings and trends to stakeholders to drive continuous improvement. Investigate data quality problems, perform root cause analysis and lead efforts to resolve complex data issues. Assist with data cleansing activities. Hierarchy Management Act as Subject Matter Export (SME) for customer and material hierarchies as well as salesforce mapping. Ensure synchronization and consistency of data between SAP MDG, S/4Hana and MDG Hierarchy through effective data quality rules. Assign new customers and materials to hierarchies. Coordinate and communicate customer and material realignments with cross-functional teams (Sales, Sales Operations, Marketing, Finance). Execute mass changes as required and audit across systems. Provide salesforce mapping support to Market Sales Directors (MSDs) and collaborate with Customer Development Leaders (CDLs). Maintain weekly updates to GPXpress and Toolbox extracts for sales assignments. Develop and deliver training related to hierarchy management. Maintain GPXpress security profiles. Who You Are (Basic Qualifications) Bachelor's Degree Experience understanding relationships between data across multiple systems; ability to extract and analyze data. Microsoft Excel skills such as VLookup, pivot tables and combining data from multiple sources as well as proficiency in other Office products (Word, PowerPoint, Outlook). What Will Put You Ahead Data governance, data quality, data analysis and/or hierarchy management experience. Proven ability to deliver results in a fast-paced, matrixed environment and build strong partnerships with stakeholders. Strong Knowledge of SAP MDG, S/4Hana including Information Steward. Knowledge of Alation, Qualytics or other Data Governance and Data Quality Tools. Knowledge of salesforce . Excellent analytical skills with the ability to perform root cause analysis. Experience collaborating with cross-functional teams. Strong communication skills and ability to deliver training and process improvements. Detail oriented and proactive in identifying and resolving data issues. At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Hiring Philosophy All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here . Who We Are At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. Our Benefits Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. Equal Opportunities Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aquí , or tu ). #LI-BDS

McJ is looking for a highly motivated and detail-oriented Data Analyst with experience in dashboarding and Alteryx. The successful candidate will have the opportunity to create, maintain, and optimize dashboards and automating data workflows to provide actionable insights across various departments. This role will also contribute to data-driven decision-making, ensuring that reports and analyses are both accurate and impactful. The position reports into the Principal Data Scientist and collaborates closely with business stakeholders to support organizational goals. Responsibilities: Data Reporting & Dashboarding Design, create, and maintain interactive dashboards using tools such as Tableau, Power BI, or similar platforms to visualize key metrics and business performance. Deliver accurate and timely reports, including visual data insights and ad hoc analysis as required by business units. Collaborate with stakeholders to understand their needs and customize reports and dashboards to meet these requirements. Automate data extraction and transformation processes using Alteryx to improve data workflows and reporting efficiency. Data Analysis & Insights Analyze complex data sets to identify trends, opportunities, and areas for improvement. Provide actionable insights to various departments to support business decisions and optimize operational performance. Assist in preparing financial, operational, and performance reports for leadership teams. Data Quality & Automation Ensure the integrity of data by performing quality checks and addressing discrepancies in datasets and dashboards. Leverage Alteryx for data transformation, automation of repetitive processes, and streamlining ETL workflows. Continuously improve data processes and workflows for greater efficiency and scalability. Collaboration & Communication Work closely with cross-functional teams including IT, marketing, finance, and operations to gather requirements and provide data-driven solutions. Assist teams in the use and understanding of data visualizations, ensuring they are equipped to leverage insights effectively. Forecasting & Reporting Assist in the creation of data-driven forecasts, tracking KPIs, and maintaining historical performance data. Prepare and present regular reports on data trends and forecasting accuracy to the management team. Ad Hoc Analysis Participate in ad-hoc data analysis projects to support business initiatives and strategic planning. Maintain flexibility to adapt to shifting priorities and evolving project requirements. Required Skills/Abilities: Strong proficiency in Alteryx Designer for data transformation, automation, and ETL processes. Proven experience in designing and maintaining dashboards using Tableau, Power BI, or similar tools. Proficiency in Excel and SQL for data analysis and reporting. Ability to analyze large datasets and provide actionable insights that influence business decisions. Strong attention to detail and accuracy, especially when handling large volumes of data. Excellent communication skills, both written and verbal, with the ability to present complex data to non-technical audiences. Ability to work in a fast-paced environment, manage multiple priorities, and meet deadlines. Strong problem-solving skills and ability to troubleshoot data issues and workflow inefficiencies. Self-motivated with a passion for continuous learning and improving data processes. Preferred Qualifications: Bachelor's degree in Statistics, Economics, Business, Computer Science, or a related field. Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, or Azure). Experience with Alteryx Server administration and orchestration. This is a remote position. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Do you have a passion for problem solving and a desire to drive meaningful change in the industry? If so, we invite you to join our dynamic Enterprise Data Warehouse Team. We are seeking to 2 (Associate) Data Analyst - Enterprise Solutions at Quartz, a provider-sponsored health plan dedicated to improving the health and well-being of our communities. The (Associate) Data Analyst - Enterprise Solutions will partner with business resources to evaluate data needs and translate into deliverables for internal users and analytics applications as well as external entities including third party data feeds, regulatory, and governmental data needs. The (Associate) Data Analyst - Enterprise Solutions will use the following skills: Source to target documentation Basic to Intermediate knowledge of SQL and analytical software Apply data warehousing principles to load or provision data to third parties Apply healthcare domain knowledge when partnering with business resources to determine data needs Benefits: Work in new cloud-based data architecture leveraging snowflake and Azure environment. Work directly with internal and third-party business users to develop data solutions for the organization's growing analytic needs. Starting salary range based upon skills and experience for Associate Data Analyst level: $60,100 - $75,200 plus total rewards package. Starting salary range based upon skills and experience Data Analyst level: $77,200 - $90,000 plus total rewards package. Responsibilities Collaborate with business users, external vendors and/or government entities to obtain data requirements for new analytics applications and data feeds or enhancement of existing products. Uncover appropriate sources of data for proposed application or data warehousing extension profiling data to ensure fitness for business purpose. Coordinate business requirements for the data and provide consultation to internal stakeholders to support their data needs. Understand source and target data structures, using standard data tools to review required data and fully profile the data to analyze its ability to meet the business needs. Complete impact assessments and ad hoc analyses to ensure that production issues and other reported deficiencies are adequately understood and resolved by updating requirements. Translate requirements into technical requirement specifications, appropriately documenting the solution via Report Specifications, Data Flow Diagrams, and Source to Target (STT) documents. Qualifications Bachelor's Degree with 2+ years of relevant work experience OR associate degree with 5+ years of relevant work experience OR high school equivalency with 8+ years of relevance work experience Associate-level Education Qualifications: Bachelor's degree with 0+ years of relevant work experience OR associate degree with 2+ years of relevant work experience OR high school equivalency with 5+ years of relevant work experience Strong communication skills with a passion for bridging the gap between business and technical users Data analysis experience with an emphasis on loading a data warehouse or provisioning the data to third parties Experience with source to target documentation Excellent documentation and written communication skills Domain knowledge (healthcare, EHS, managed care, Medicare, etc.) Basic to Intermediate knowledge of SQL, analytical software, query tools Basic to Intermediate knowledge of data warehousing principles including provenance, lineage, etc. and applies best practices Ability to manage multiple projects simultaneously, work independently, under pressure, and be adaptable to change Must be inquisitive and seek answers to complex questions without being prompted Create strong relationships and provide positive experiences for internal partners Hardware and equipment will be provided by the company, but candidates must have access to high-speed, non-satellite Internet to successfully work from home. We offer an excellent benefit and compensation package, opportunity for career advancement and a professional culture built on the foundations of Respect, Responsibility, Resourcefulness and Relationships. To support a safe work environment, all employment offers are contingent upon successful completion of a pre-employment criminal background check. Quartz values and embraces diversity and is proud to be an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified person with disability. #LI-DNI We can recommend jobs specifically for you! Click here to get started.

About the Role & Program Join the Content Understanding Data Science team within Disney's Direct-to-Consumer business as a summer intern. You will work with a group of senior data scientists to fine-tune pre-trained models developing Multi-Modal ML models to extract meaningful metadata from video, image, audio, artwork, and text that could be used in numerous downstream applications such as segmentation, forecasting, targeting, and recommendation. These applications can drive significant impacts in Content Programming, Curation, Marketing, and Ads. You will learn skills in ML, NLP, and work with state-of-the-art LLM models, building stakeholder relationships, and executive communication. This opportunity will require close collaboration with Content, Data Engineering, Product and other data scientists. What You Will Do Build pipelines based on video, audio, text, artwork data and get the data ready for modeling. Fine-tune multi-modal foundational models Collaborate with data engineers to ensure the accuracy and quality of data Work with cutting-edge LLM models to extract meaningful metadata Present the methods and outputs effectively using data visualization tools or oral presentations. Required Qualifications & Skills Solid Python programming skills Exceptional curiosity, and a drive to learn new tools and work with new models Strong ability to build relationships with teammates, business partners, and technical colleagues. Hands-on experience with PyTorch/TensorFlow Hands-on experience with modern LLM APIs and familiarity with AI orchestration tools such as Huggingface, Langchain, Google ADK or similar and MCPs Preferred Qualifications & Skills Familiarity with fine-tuning techniques like PEFT, LORA Multimodal model experience (e.g., CLIP, ViTs), Big-data or cloud experience Education Currently enrolled as a Graduate level student pursuing a graduate degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics or related field. Eligibility Requirements & Program Information Candidates for this opportunity MUST meet all the requirements below: Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR currently participating in a Disney College Program or Disney Internship Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program. Be at least 18 years of age Possess unrestricted work authorization Additional Information The approximate dates of this position are May/June 2026 through August/September 2026 Able to provide/have reliable transportation to/from work Fully available from Monday-Friday for the duration of the position, 40 hours per week The pay rate for this internship in California is $47 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits. To learn more about our benefits visit: **************************************** Job Posting Segment: Direct to Consumer Job Posting Primary Business: DTC Analytics and Data Science Primary Job Posting Category: Technology Intern Employment Type: Full time Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-01-14

About the Role & Program Do you love the art of using data to solve complex business problems? We do too - and would be excited to have you join our team at Walt Disney World! Our mission as part of the Commercial Strategy organization is to put our data assets to work, and apply quantitative techniques to discover previously unknown insights about our Guests and business. We get to work directly with the major decision-makers at Disney who shape the Walt Disney World experience. Through our insights, we help form and improve Disney products and offerings. This is a unique role, in that it looks across a variety of functional areas, and enables the creation of holistic models to better predict and prescribe improvements to the overall Walt Disney World business. A position like this puts you in the middle of the main commercial decisions of the company - and is a great way to showcase your highly-technical data science skills! The Professional Intern - Data Science currently reports to the Manager of Data Science and is an individual contributor role. What you will do: While each day will be different, with rotating priorities, the main themes for this role include you being a(n): Data Wrangler: You understand data and how it supports solving business problems. You will translate the business and analytic needs into data requirements to ensure you have the information you need to solve the problem, and work with technology partners to troubleshoot data quality You will work in a large, complex data environment, compiling and cleansing data across a variety of domains to create a foundation for your analytic work. Analytics Creator: You leverage data science skills to deliver mathematical models and adhoc statistical analyses. You will conduct end-to-end analysis that includes data collection and exploration, feature generation and reduction, and algorithm selection. You will determine the best techniques to use to solve problems efficiently and effectively, examining all aspects of the analytics curve across statistical, predictive, and prescriptive methods. Insights Translator: You interpret outputs of analyses and models to make relevant recommendations. You will draw inferences, quantify uncertainty/risk, and identify limitations to accurately summarize your findings, relating them back to the problem at hand. You will successfully craft key takeaways and next steps in the context of business actionability, while facilitating the integration of your work into the decision making process. Required Qualifications & Skills Experience with SQL, Python, or R to perform data manipulation, engineering, or analysis Familiarity with SQL or NoSQL databases, as well as data modeling techniques/standard methodologies and practices Knowledge of industry leading data and analytic tools (e.g., Snowflake, Git, Sagemaker, Dataiku, Tableau) Ability to follow existing programming and style guidelines to maintain consistent quality of code Ability to maintain documentation, procedures, and working instructions for the Commercial team Time-management skills, with ability to prioritize multiple requests and communicate status to partners/leadership Strong communication, interpersonal skills and fortitude to get stuff done Passionate about data, technology, and challenging the status quo Preferred Qualifications & Skills Familiarity with Docker and Kubernetes Familiarity with Machine Learning Experience with using ML Frameworks, libraries, and tools, such as TensorFlow, Spark MLlib, PyTorch, scikit-learn, Keras, etc. Experience with cloud platforms, such as AWS, Google Cloud, or Azure, as well as big data technologies Education Currently enrolled undergraduate student in a quantitative field (e.g., statistics, mathematics, econometrics, data science) Eligibility Requirements & Program Information: Be enrolled in an accredited college/university pursuing a degree taking at least one class at time of application OR currently participating in a Disney College Program or Disney Internship. Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program. Be at least 18 years of age Possess unrestricted work authorization Additional Information: Able to have a consistent, reliable work schedule throughout the internship Fully available from Monday - Friday, Eastern Standard Time, for the duration of the internship, 40 hours each week Able to provide/have reliable transportation to/from work Able to provide own housing for the duration of the internship program in the Orlando area The approximate date of this internship is June 2026 to December 2026 Florida Housing We provide limited housing opportunities for Florida Based Professional Interns through American Campus Communities, for more information click here. The pay rate for this role in Orlando, FL is $42 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits, dependent on the level and position offered. To learn more about our benefits visit: **************************************** Job Posting Segment: Commercial Strategy Job Posting Primary Business: Revenue Planning (WDW) Primary Job Posting Category: Other Employment Type: Full time Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-01-23

We're looking for a Data Science Summer Intern who's excited to jump into some of the most interesting areas of AI today. You'll spend time experimenting with prompt engineering, figuring out how to evaluate large language models, and helping design multi-agent systems that work together to solve real problems. You'll also work alongside data scientists and ML engineers on deep learning projects like time series forecasting, building out our feature store, and running model experiments. The goal is to give you hands-on experience that feels both practical and forward-looking, so you leave with a stronger skill set and a clear sense of how AI gets applied in the real world. At Global Partners, business starts with people. Since 1933, we've believed in taking care of our customers, our guests, our communities, and each other-and that belief continues to guide us. The Global Spirit is how we work to fuel that long term commitment to success. As a Fortune 500 company with 90+ years of experience, we're proud to fuel communities-responsibly and sustainably. We show up every day with grit, passion, and purpose-anticipating needs, building lasting relationships, and creating shared value. : YOUR ROLE, YOUR IMPACT Design and run prompt engineering experiments, exploring techniques, templates, and evaluation methods to improve LLM outputs, and extend this work into testing multi-agent workflows for tasks like reasoning, summarization, and decision support. Collaborate with data scientists and ML engineers on deep learning projects for time series forecasting, contributing to feature engineering, model training, hyperparameter tuning, and backtesting. Develop and maintain data pipelines and feature store components, ensuring features and datasets are clean, standardized, reusable, and well-documented. Prototype and evaluate models using traditional ML and deep learning approaches, compare against baselines, and apply MLOps practices like experiment tracking, reproducibility, and containerization to prepare successful prototypes for production. Work in cloud environments (AWS, GCP, or Azure) to train and scale models, and clearly document workflows, experiments, and results for team adoption and future use. Additional Job Description: Qualifications: Currently pursuing a Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field; prior co-op/internship/full-time experience in DS/ML or software engineering is a plus. Strong programming skills in Python, with experience in ML libraries such as PyTorch, TensorFlow, and Scikit-learn, and proficiency in data preprocessing using Pandas, NumPy, and (optionally) Spark. Solid understanding of machine learning concepts, including model training, evaluation, backtesting, and feature engineering. Familiarity with software engineering and MLOps practices, including Git for version control, testing frameworks, experiment tracking (MLflow, Weights & Biases), containerization with Docker, and reproducibility standards. Comfort working in cloud environments (AWS, GCP, or Azure) and with database systems (SQL/NoSQL), including contributing to reusable components like a feature store. Strong communication skills with the ability to clearly document workflows, tools, and findings for team adoption. Bonus: Hands-on exposure to GenAI and agent frameworks (LangChain, LangGraph, CrewAI), including platforms and tooling such as Amazon Bedrock Agents, MCP servers, A2A patterns/frameworks, and evaluation tools like Braintrust. We encourage you to learn more about our Emerging Leaders Programs here. Pay Range: $16.03 - $20.46 The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors. Our Commitments to You Coins! We offer competitive salaries and opportunities for growth. We have an amazing Talent Development Team who create trainings for growth and job development. Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support. The Road Ahead - We offer 401k and a match component! Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service. What to Expect From the Hiring Process We value passion and potential. Please apply if you're qualified and interested-we'd love to hear from you. A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match. Interviews are conducted virtually and in person, depending on the role. We'll provide more details about next steps if selected to move forward. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at ************ or 781-7GP-WORK. *Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Stanford Rebele Data Science Internship, Summer 2026 At Hearst Newspapers, data drives the way we engage millions of readers across our publications. We're looking for an ambitious intern to join our Data and Insights team, where you'll tackle real-world challenges in digital media, audience growth, and storytelling at scale. This internship is paid through the Stanford Rebele Internship Program. To be eligible, candidates must be current Stanford University students. This internship will run from June 8 to August 14, 2026, and can be based in either California or New York. This is an opportunity to shape strategic decisions by translating complex data into powerful insights. You'll work cross-functionally with newsrooms, marketing, and audience teams to help the business understand how audience development drives outcomes for the business. You'll help to answer questions like, "Do TikTok followers views lead to business outcomes", "What platforms attract our most valuable audiences?", "How do our users engage and interact with our investigative data-journalism projects, and does that engagement ultimately result in business outcomes". You will work directly with both technical and non-technical users to translate business questions into data problems that our data can solve. That work will involve building ad-hoc reports and dashboards, conducting exploratory analysis, and modeling data to help solve business problems. Working within the larger Data and Insights team, you will be collaborating with other analysts, data scientists, and data engineers to understand how a business intelligence team functions in a media organization as you learn to hone your data skills. What You'll Gain * Hands-on experience working with BigQuery, Python, and large-scale datasets. * A front-row seat to the inner workings of a modern media company at the intersection of data and journalism. * The opportunity to present your findings to senior stakeholders - your insights will directly influence strategy. Qualifications * Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University * Prior experience or internship with data analysis (as an analyst, in analytics, business intelligence or similar) * Familiarity with SQL (BigQuery preferred) * Familiarity with Python for data analysis * Strong verbal and written communication, especially when presenting to non-technical stakeholders This is your chance to leave a mark on one of the largest digital news organizations in the country. If you're excited about data, media, and real-world impact, we'd love to hear from you! HNP Overview: With 2,500 employees across the nation, Hearst Newspapers (HNP) represents a network of 28 daily and 50 weekly publications, including the Austin American-Statesman, Houston Chronicle, San Antonio Express-News, San Francisco Chronicle and Times Union (Albany). Our portfolio also includes several top digital-only news and lifestyle sites such as Chron., CT Insider, MySA and SFGATE, along with marketing services businesses like Medium Giant and entertainment brands such as King Features Syndicate. At HNP, we're investing in new and innovative ways to tell stories - growing newsrooms, diversifying tools and evolving platforms - to support the millions of people who trust us each month to help them make decisions, take action and be inspired. Be part of something bigger - Your Headline Awaits #LI-DH1 #LI-Hybrid

Stanford Rebele Data Science Internship, Summer 2026 At Hearst Newspapers, data drives the way we engage millions of readers across our publications. We're looking for an ambitious intern to join our Data and Insights team, where you'll tackle real-world challenges in digital media, audience growth, and storytelling at scale. This internship will run from June 8 to August 14, 2026. This is an opportunity to shape strategic decisions by translating complex data into powerful insights. You'll work cross-functionally with newsrooms, marketing, and audience teams to help the business understand how audience development drives outcomes for the business. You'll help to answer questions like, “Do TikTok followers views lead to business outcomes”, “What platforms attract our most valuable audiences?”, “How do our users engage and interact with our investigative data-journalism projects, and does that engagement ultimately result in business outcomes”. You will work directly with both technical and non-technical users to translate business questions into data problems that our data can solve. That work will involve building ad-hoc reports and dashboards, conducting exploratory analysis, and modeling data to help solve business problems. Working within the larger Data and Insights team, you will be collaborating with other analysts, data scientists, and data engineers to understand how a business intelligence team functions in a media organization as you learn to hone your data skills. What You'll Gain • Hands-on experience working with BigQuery, Python, and large-scale datasets. • A front-row seat to the inner workings of a modern media company at the intersection of data and journalism. • The opportunity to present your findings to senior stakeholders - your insights will directly influence strategy. Qualifications • Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field • Prior experience or internship with data analysis (as an analyst, in analytics, business intelligence or similar) • Familiarity with SQL (BigQuery preferred) • Familiarity with Python for data analysis • Strong verbal and written communication, especially when presenting to non-technical stakeholders This is your chance to leave a mark on one of the largest digital news organizations in the country. If you're excited about data, media, and real-world impact, we'd love to hear from you! HNP Overview: With 2,500 employees across the nation, Hearst Newspapers (HNP) represents a network of 28 daily and 50 weekly publications, including the Austin American-Statesman, Houston Chronicle, San Antonio Express-News, San Francisco Chronicle and Times Union (Albany). Our portfolio also includes several top digital-only news and lifestyle sites such as Chron., CT Insider, MySA and SFGATE, along with marketing services businesses like Medium Giant and entertainment brands such as King Features Syndicate. At HNP, we're investing in new and innovative ways to tell stories - growing newsrooms, diversifying tools and evolving platforms - to support the millions of people who trust us each month to help them make decisions, take action and be inspired. Be part of something bigger - Your Headline Awaits #LI-DH1 #LI-Hybrid

About the Role & Program Do you love the art of using data to solve complex business problems? We do too - and would be excited to have you join our team at Walt Disney World! Our mission as part of the Commercial Strategy organization is to put our data assets to work, and apply quantitative techniques to discover previously unknown insights about our Guests and business. We get to work directly with the major decision-makers at Disney who shape the Walt Disney World experience. Through our insights, we help form and improve Disney products and offerings. This is a unique role, in that it looks across a variety of functional areas, and enables the creation of holistic models to better predict and prescribe improvements to the overall Walt Disney World business. A position like this puts you in the middle of the main commercial decisions of the company - and is a great way to showcase your highly-technical data science skills! The Professional Intern - Data Science currently reports to the Manager of Data Science and is an individual contributor role. What you will do: While each day will be different, with rotating priorities, the main themes for this role include you being a(n): Data Wrangler: You understand data and how it supports solving business problems. You will translate the business and analytic needs into data requirements to ensure you have the information you need to solve the problem, and work with technology partners to troubleshoot data quality You will work in a large, complex data environment, compiling and cleansing data across a variety of domains to create a foundation for your analytic work. Analytics Creator: You leverage data science skills to deliver mathematical models and adhoc statistical analyses. You will conduct end-to-end analysis that includes data collection and exploration, feature generation and reduction, and algorithm selection. You will determine the best techniques to use to solve problems efficiently and effectively, examining all aspects of the analytics curve across statistical, predictive, and prescriptive methods. Insights Translator: You interpret outputs of analyses and models to make relevant recommendations. You will draw inferences, quantify uncertainty/risk, and identify limitations to accurately summarize your findings, relating them back to the problem at hand. You will successfully craft key takeaways and next steps in the context of business actionability, while facilitating the integration of your work into the decision making process. Required Qualifications & Skills Experience with SQL, Python, or R to perform data manipulation, engineering, or analysis Familiarity with SQL or NoSQL databases, as well as data modeling techniques/standard methodologies and practices Knowledge of industry leading data and analytic tools (e.g., Snowflake, Git, Sagemaker, Dataiku, Tableau) Ability to follow existing programming and style guidelines to maintain consistent quality of code Ability to maintain documentation, procedures, and working instructions for the Commercial team Time-management skills, with ability to prioritize multiple requests and communicate status to partners/leadership Strong communication, interpersonal skills and fortitude to get stuff done Passionate about data, technology, and challenging the status quo Preferred Qualifications & Skills Familiarity with Docker and Kubernetes Familiarity with Machine Learning Experience with using ML Frameworks, libraries, and tools, such as TensorFlow, Spark MLlib, PyTorch, scikit-learn, Keras, etc. Experience with cloud platforms, such as AWS, Google Cloud, or Azure, as well as big data technologies Education Currently enrolled undergraduate student in a quantitative field (e.g., statistics, mathematics, econometrics, data science) Eligibility Requirements & Program Information: Be enrolled in an accredited college/university pursuing a degree taking at least one class at time of application OR currently participating in a Disney College Program or Disney Internship. Current Disney Interns, College, International, or Culinary Program Participants: You may only work for ONE consecutive year (12 months) in any combination of an internship and/or program. Be at least 18 years of age Possess unrestricted work authorization Additional Information: Able to have a consistent, reliable work schedule throughout the internship Fully available from Monday - Friday, Eastern Standard Time, for the duration of the internship, 40 hours each week Able to provide/have reliable transportation to/from work Able to provide own housing for the duration of the internship program in the Orlando area The approximate date of this internship is June 2026 to December 2026 Florida Housing We provide limited housing opportunities for Florida Based Professional Interns through American Campus Communities, for more information click here. The pay rate for this role in Orlando, FL is $42 per hour. Select benefits may be provided as part of the compensation package, such as medical, financial, and/or other benefits, dependent on the level and position offered. To learn more about our benefits visit: **************************************** Job Posting Segment: Commercial Strategy Job Posting Primary Business: Revenue Planning (WDW) Primary Job Posting Category: Other Employment Type: Full time Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-01-23

Grey Street Consulting, LLC (Grey Street), a leading small business provider of Acquisition operational support services to Federal civilian and defense agencies, is seeking to hire a Data Analyst to support our prospective client within the Department of Homeland Security (DHS), U.S. Immigration and Customs Enforcement (ICE), Office of Acquisition Management (OAQ). This position is to be performed on-site in SW Washington, DC. Essential Duties and Responsibilities Receiving, gathering, analyzing, and organizing information from multiple sources to evaluate quality and completeness and resolves inconsistencies. Recording data in databases, documents, and/or spreadsheets. Developing and administering tracking mechanisms, user tools, and spreadsheets/worksheets to track productivity, ensure mandates are followed, meet contractual deadlines, respond to data calls, and accomplish other requirements as needed. Generating, monitoring, and managing reports to measure and chart data (including procurement requests/requisitions, contracts, etc.) or otherwise manage simple or multifaceted taskings, etc. Updating and maintaining backups of generate reports and datasets. Simultaneously managing multiple tasks. Consistently reviewing data then communicating and providing necessary reminders to staff and leadership to ensure that updates and related required activities are completed. Creating and managing mail groups in programs such as Outlook. Researching, identifying, tracking, and uploading active contracts and solicitations. Granting and removing access to channels and files in programs such as Teams. Coordinating file management with the FOIA team. Assisting with all data related administrative duties. Support services include, but are not limited to, developing user material, job aids, or procedural documentation to assist the Government in understanding and using tracking tools and managed data. The Contractor may provide demonstrations of system functionality at the Government's request but shall not provide training, operational direction, or authoritative guidance to Government personnel. Managing organization charts, team calendars, and other similar tools and providing guidance on these items. Creating, managing, and monitoring new worksheets. Generating summaries, charts, and reports. Providing updates on tasks to leadership in a timely fashion. Selecting relevant information from a variety of sources to prepare documents, reports, summaries, and replies to inquiries, ensuring accuracy and proper format of the information provided. Participating in IPTs, as appropriate. Requirements Job Requirements and Experience A Bachelor's Degree: A 4-year course of study leading to a bachelor's degree conferred or approved by an accredited U.S. college or university based on a 4- year course of study. Simply being enrolled and working toward a degree does not meet the qualification standard. Proposed candidates must furnish transcripts showing completion of degree requirements to the Government for review. At least four (4) years of documented experience in Data Management or Data Analyst positions. For each position, the Contractor shall provide the Government with the proposed candidate's resume for review and approval. Qualifications must prove that the proposed individual has the required experience in providing data analyst support to a Federal Government agency or entity. An acceptable example of support does not include general data entry. Qualifications shall include: Demonstrated ability to use the Microsoft Suite of software applications to create and maintain documents and communications. Documented ability to maintain and practice operational security (OPSEC) in the performance of daily duties and to report OPSEC issues or concerns. Documented experience crafting and running Microsoft Excel scripts and codes to double-check the accuracy of information and work products to provide consistently accurate and high-quality work. Demonstrated experience managing various data formats such as those created and maintained in Microsoft Office products. Documented ability to apply different strategies for acquiring data and analyzing information to make reasonable inferences or draw well-supported conclusions. Experience using available tools and techniques to creatively solve problems or manage large data sets. Experience being thorough and precise when accomplishing a task with concern for all aspects of the job involved. Documented ability to develop and administer tracking mechanisms, user tools, and worksheets as necessary to track productivity, ensure mandates are followed, meet deadlines, respond to data calls, and accomplish other requirements as needed. Demonstrated ability to juggle multiple tasks and provide updates on tasks to various levels of leadership in a timely fashion. Possession of excellent written and verbal communication skills plus strong analytical and organizational skills and abilities Experience managing procurement sensitive, law enforcement sensitive, or other secure information is preferred. In lieu of a Bachelor's Degree, the Government will accept six (6) years of experience in the data management sector. ADA Requirements Operate a PC and phone in an office environment. Work in a primarily sedentary position. Perform some bending, light lifting, and carrying of equipment may be required. Any additional office equipment that is required by the position. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected Veteran status. About the Department of Homeland Security (DHS), U.S. Immigration and Customs Enforcement (ICE), Office of Acquisition Management (OAQ) The U.S. Immigration and Customs Enforcement (ICE) is the largest investigative branch of the Department of Homeland Security (DHS). The Office of Acquisition Management (OAQ) is a highly professional, customer-focused organization within the Agency with an enterprise-wide, strategic approach to procurement. OAQ operates as a full component partner with internal and external organizations and serves as a strategic asset dedicated to improving the agency's overall performance. OAQ's goal is to deliver quality acquisition solutions in support of the DHS and ICE missions, and its main function is procuring various products and services such as: Law enforcement services and products, including body armor, handcuffs, hand restraints, guns, and ammunition Detention and removal services such as temporary housing, food, clothing, and transportation, including air charter flights Operational support like data analysis, translation services, interpreter services, and clerical support Information Technology supplies and services, including computers, security equipment, software licenses, and telecommunications equipment About Grey Street Consulting, LLC Grey Street is a small, federal contracting firm. Founded in 2015, Grey Street has already established itself as a leading small business provider of federal human resources (HR) services. Grey Street provides staff augmentation support to numerous federal agencies including but not limited to the U.S. Departments of Transportation (DOT), Health and Human Services (HHS), Energy (DOE), Labor (DOL), and Homeland Security (DHS) just to name a few. Our approach to the delivery of professional services is rooted in our deep subject matter expertise and supported by our ability to effectively manage our client's needs and expectations while delivering measurable results. Grey Street offers a robust benefit package which includes comprehensive medical, dental, and 401k with a guaranteed match!! To learn more about Grey Street click here: **********************************

Requirements Job Requirements and Experience A Bachelor's Degree: A 4-year course of study leading to a bachelor's degree conferred or approved by an accredited U.S. college or university based on a 4- year course of study. Simply being enrolled and working toward a degree does not meet the qualification standard. Proposed candidates must furnish transcripts showing completion of degree requirements to the Government for review. At least four (4) years of documented experience in Data Management or Data Analyst positions. For each position, the Contractor shall provide the Government with the proposed candidate's resume for review and approval. Qualifications must prove that the proposed individual has the required experience in providing data analyst support to a Federal Government agency or entity. An acceptable example of support does not include general data entry. Qualifications shall include: Demonstrated ability to use the Microsoft Suite of software applications to create and maintain documents and communications. Documented ability to maintain and practice operational security (OPSEC) in the performance of daily duties and to report OPSEC issues or concerns. Documented experience crafting and running Microsoft Excel scripts and codes to double-check the accuracy of information and work products to provide consistently accurate and high-quality work. Demonstrated experience managing various data formats such as those created and maintained in Microsoft Office products. Documented ability to apply different strategies for acquiring data and analyzing information to make reasonable inferences or draw well-supported conclusions. Experience using available tools and techniques to creatively solve problems or manage large data sets. Experience being thorough and precise when accomplishing a task with concern for all aspects of the job involved. Documented ability to develop and administer tracking mechanisms, user tools, and worksheets as necessary to track productivity, ensure mandates are followed, meet deadlines, respond to data calls, and accomplish other requirements as needed. Demonstrated ability to juggle multiple tasks and provide updates on tasks to various levels of leadership in a timely fashion. Possession of excellent written and verbal communication skills plus strong analytical and organizational skills and abilities Experience managing procurement sensitive, law enforcement sensitive, or other secure information is preferred. In lieu of a Bachelor's Degree, the Government will accept six (6) years of experience in the data management sector. ADA Requirements Operate a PC and phone in an office environment. Work in a primarily sedentary position. Perform some bending, light lifting, and carrying of equipment may be required. Any additional office equipment that is required by the position. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected Veteran status. About the Department of Homeland Security (DHS), U.S. Immigration and Customs Enforcement (ICE), Office of Acquisition Management (OAQ) The U.S. Immigration and Customs Enforcement (ICE) is the largest investigative branch of the Department of Homeland Security (DHS). The Office of Acquisition Management (OAQ) is a highly professional, customer-focused organization within the Agency with an enterprise-wide, strategic approach to procurement. OAQ operates as a full component partner with internal and external organizations and serves as a strategic asset dedicated to improving the agency's overall performance. OAQ's goal is to deliver quality acquisition solutions in support of the DHS and ICE missions, and its main function is procuring various products and services such as: Law enforcement services and products, including body armor, handcuffs, hand restraints, guns, and ammunition Detention and removal services such as temporary housing, food, clothing, and transportation, including air charter flights Operational support like data analysis, translation services, interpreter services, and clerical support Information Technology supplies and services, including computers, security equipment, software licenses, and telecommunications equipment About Grey Street Consulting, LLC Grey Street is a small, federal contracting firm. Founded in 2015, Grey Street has already established itself as a leading small business provider of federal human resources (HR) services. Grey Street provides staff augmentation support to numerous federal agencies including but not limited to the U.S. Departments of Transportation (DOT), Health and Human Services (HHS), Energy (DOE), Labor (DOL), and Homeland Security (DHS) just to name a few. Our approach to the delivery of professional services is rooted in our deep subject matter expertise and supported by our ability to effectively manage our client's needs and expectations while delivering measurable results. Grey Street offers a robust benefit package which includes comprehensive medical, dental, and 401k with a guaranteed match!! To learn more about Grey Street click here: **********************************

MP&F Strategic Communications is seeking interns who are college juniors, seniors, graduate students or recent graduates to take on a variety of projects including advertising and marketing campaign analysis, dashboard construction, data visualization, and report building while being assigned to specific client teams. Students applying for a summer internship must be able to dedicate 40 hours a week. Our intern positions are in-person in our downtown Nashville office. We do not have remote internship opportunities. Application Deadlines: January 30, 2026 (Summer) Internship Dates: May 26, 2026 - July 31, 2026 Benefits and Perks: Competitive pay Paid downtown parking Company-issued laptop A Google Partner team Community give-back with our company pro bono program Professional development and mentoring programs Free snack bar Employee-driven culture has made us an 12x Top Workplace winner Qualifications MP&F Strategic Communications is an internationally recognized, full-service integrated marketing, advertising and communications firm based in Nashville, Tenn. Our clients work in a variety of industries -- including health care, hospitality and higher education. We were established in 1987 as a one-person consultancy and today are a team of 80-plus strategists and specialists from myriad professional backgrounds and walks of life. When you join MP&F, you are joining a culture of excellence, hard work and success.

About OUTFRONT We are one of North America's most innovative media companies. We leverage the power of creative excellence, unbeatable locations and smart audience data to change the game for advertisers. Our purpose as a company is to help people, places and businesses grow stronger. To do this, we make meaningful connections between brands and people when they are outside of their homes through one of the largest and most diverse sets of out-of-home assets including billboards, transit and mobile displays across the U.S. We connect diverse audiences across over 150 markets and conduct our business considering all our stakeholders, from clients and employees, to the communities where we operate. We are committed to creating a diverse and inclusive work environment that promotes the growth of our people. Come join our industry-leading team! What We Offer OUTFRONT offers a comprehensive benefits program including: Medical, Dental, Vision (including same and opposite-sex domestic partners) HSA and FSA plans, Family Benefits, Pet Benefits 401(k) Plan with an Employer Match Paid Time Off, Commuter Benefits, Educational Assistance Robust Diversity, Equity and Inclusion program including 7 Employee Resource Groups (ERGs) Your Role The role of the Analyst, Data Governance for the Customer Domain involves upholding OUTFRONT's Data Governance policies, data procedures, and data definitions related to customer data. This entry-level position in Data Governance contributes to enhancing the quality of OUTFRONT's customer data through the following activities: Your Responsibilities Utilize OUTFRONT's Master Data Management tool Profisee, to manage Customer Data workflows, ensuring prompt reviews of new and updated customer data. Monitor incoming Customer data requests from business users via email, promptly and professionally addressing and fulfilling these requests. Deliver reports and analytics related to Customer Data to stakeholders, which includes collaborating with cross-functional business partners. Oversee the accuracy of Customer Data beyond Profisee, maintaining data consistency (such as ensuring data coherence across Profisee, OUTFRONT's CRM platform, and the core order management system). Uphold compliance with data governance policies, employing analytics and tools to detect instances of data non-compliance. Maintain the business dictionary and ensure data quality at the application/database level. Examining both new and existing customer data to verify alignment with the defined data standards within the Customer Domain. Guaranteeing compliance with customer data processes, business regulations, and operational workflows. Carrying out the established protocols for the entire lifecycle of customer data, starting from its inception to activation. Offer advice on best practices for data management, and if necessary, escalate concerns to the Data Owner. Suggest revisions to data governance policies and procedures as needed to enhance data governance quality. Develop a comprehensive understanding of critical business functions linked to specific data subject areas. Grasp the movement of customer data between various systems. Collaborate with the broader analytics team to verify data accuracy and suitability for end users. Propel improvements in the core processes for data quality, facilitating their execution with emphasis on simplicity, speed, quality, and efficiency. Your Qualifications A college degree or equivalent practical experience preferred. Familiarity with Profisee Application or similar platforms is advantageous (although not obligatory). Having 1-2 years of experience in upholding data governance policies, procedures, and definitions is beneficial (although not necessary). Proven capability to work independently from a direct manager while achieving outstanding outcomes. Proficiency in multitasking, prioritization, and meeting deadlines. Solid business insight and exceptional communication skills. The salary range for this role is $55,000-$60,000 per year. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location. OUTFRONT Media is not responsible for any fees related to unsolicited resumes. OUTFRONT Media Is An Equal Opportunity Employer All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the OUTFRONT Media Affirmative Action policy statement.

About OUTFRONT We are one of North America's most innovative media companies. We leverage the power of creative excellence, unbeatable locations and smart audience data to change the game for advertisers. Our purpose as a company is to help people, places and businesses grow stronger. To do this, we make meaningful connections between brands and people when they are outside of their homes through one of the largest and most diverse sets of out-of-home assets including billboards, transit and mobile displays across the U.S. We connect diverse audiences across over 150 markets and conduct our business considering all our stakeholders, from clients and employees, to the communities where we operate. We are committed to creating a diverse and inclusive work environment that promotes the growth of our people. Come join our industry-leading team! What We Offer OUTFRONT offers a comprehensive benefits program including: Medical, Dental, Vision (including same and opposite-sex domestic partners) HSA and FSA plans, Family Benefits, Pet Benefits 401(k) Plan with an Employer Match Paid Time Off, Commuter Benefits, Educational Assistance Robust Diversity, Equity and Inclusion program including 7 Employee Resource Groups (ERGs) Your Role The role of the Analyst, Data Governance for the Customer Domain involves upholding OUTFRONT's Data Governance policies, data procedures, and data definitions related to customer data. This entry-level position in Data Governance contributes to enhancing the quality of OUTFRONT's customer data through the following activities: Your Responsibilities Utilize OUTFRONT's Master Data Management tool Profisee, to manage Customer Data workflows, ensuring prompt reviews of new and updated customer data. Monitor incoming Customer data requests from business users via email, promptly and professionally addressing and fulfilling these requests. Deliver reports and analytics related to Customer Data to stakeholders, which includes collaborating with cross-functional business partners. Oversee the accuracy of Customer Data beyond Profisee, maintaining data consistency (such as ensuring data coherence across Profisee, OUTFRONT's CRM platform, and the core order management system). Uphold compliance with data governance policies, employing analytics and tools to detect instances of data non-compliance. Maintain the business dictionary and ensure data quality at the application/database level. Examining both new and existing customer data to verify alignment with the defined data standards within the Customer Domain. Guaranteeing compliance with customer data processes, business regulations, and operational workflows. Carrying out the established protocols for the entire lifecycle of customer data, starting from its inception to activation. Offer advice on best practices for data management, and if necessary, escalate concerns to the Data Owner. Suggest revisions to data governance policies and procedures as needed to enhance data governance quality. Develop a comprehensive understanding of critical business functions linked to specific data subject areas. Grasp the movement of customer data between various systems. Collaborate with the broader analytics team to verify data accuracy and suitability for end users. Propel improvements in the core processes for data quality, facilitating their execution with emphasis on simplicity, speed, quality, and efficiency. Your Qualifications A college degree or equivalent practical experience preferred. Familiarity with Profisee Application or similar platforms is advantageous (although not obligatory). Having 1-2 years of experience in upholding data governance policies, procedures, and definitions is beneficial (although not necessary). Proven capability to work independently from a direct manager while achieving outstanding outcomes. Proficiency in multitasking, prioritization, and meeting deadlines. Solid business insight and exceptional communication skills. The salary range for this role is $55,000-$60,000 per year. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location. OUTFRONT Media is not responsible for any fees related to unsolicited resumes. OUTFRONT Media Is An Equal Opportunity Employer All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the OUTFRONT Media Affirmative Action policy statement.