Data analyst internship work from home jobs

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We're proving that blockchain isn't just theory - it's powering real products used by hundreds of thousands of consumers and institutions. By combining blockchain's transparency and efficiency with AI-driven automation, we've reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes. Together with our 170+ partners, we've originated over $17 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets. We're proud to be recognized as one of Forbes' Most Innovative Fintech Startups in 2025 and Fast Company's Most Innovative Companies in Finance and Personal Finance. About the Role At Figure, we're redefining what's possible at the intersection of finance and technology. Fresh off our IPO, we are building the next generation of financial infrastructure, transforming how capital moves, how credit is assessed, and how customers experience financial products. Our data team sits at the heart of that transformation, powering decisions from risk modeling and capital allocation to growth strategy. As a Principal Data Analyst, you will be a cornerstone of our analytics organization, partnering closely with Credit/Risk and Capital Markets to drive real financial outcomes. Your work will directly influence lending decisions, portfolio optimization, and the strategies behind our capital markets platform. You will connect analysis to the bigger picture across markets, products, and mission, combining analytical rigor with business intuition to help leaders understand what is happening and why it matters. You will also elevate our toolkit by building intuitive Tableau dashboards, writing performant BigQuery SQL, and designing frameworks that make insights repeatable and scalable across the company. What You'll Do Act as the analytics lead for Credit/Risk and Capital Markets, guiding decision-making through data-driven insights. Partner with cross-functional leaders to shape the questions that matter most, then answer them through thoughtful analysis and storytelling. Design and maintain robust Tableau dashboards that translate data into actionable narratives. Write and optimize BigQuery SQL to extract, transform, and analyze large-scale datasets. Develop analytical frameworks and models that support risk forecasting, pricing strategies, and portfolio performance. Apply statistical and experimental methods to test hypotheses, quantify uncertainty, and inform strategic trade-offs. Communicate findings clearly and persuasively to senior stakeholders. Champion a culture of data accuracy, curiosity, and continuous improvement. What We Look For 7+ years of experience using data to drive measurable business impact. Deep proficiency in SQL (preferably BigQuery) and expertise with complex joins, subqueries, and recursive logic. Advanced experience with Tableau; you know how to build dashboards that influence decisions, not just report them. Strong understanding of risk modeling, credit analytics, or capital markets data structures. Proven experience in fintech or financial services environments. Working knowledge of Python for data manipulation, automation, or modeling. Appreciation for statistical concepts like causal inference, bias detection, and experimental design. Clear, confident communication with both technical and non-technical audiences. Comfort navigating ambiguity and setting analytical direction in fast-moving environments. A natural curiosity about how finance, technology, and data intersect to drive innovation. Bonus Points Experience supporting product analytics or growth initiatives. A passion for problem-solving; you can't resist finding out why a metric behaves the way it does. You embrace learning from mistakes and are energized by challenges that don't have an obvious answer. Salary Compensation Range: $158,400-$198,000/yr 25% annual bonus target, paid quarterly Equity stock options package This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs Benefits Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans Company HSA, FSA, Dependent Care, 401k, and commuter benefits Employer-funded life and disability insurance coverage 11 Observed Holidays & PTO plan Up to 12 weeks paid family leave Continuing education reimbursement Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice. Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. #LI-MM1 #LI-Hybrid

We are seeking a highly motivated and proactive Intern to join the team. This is a paid internship and is a completely remote position. This role requires the individual to have the aptitude to learn and to participate in the evaluation and analysis of operational metric data. To be successful the candidate must be driven and well-organized, with strong attention to detail. It is essential for this individual to be self-motivated and tenacious, thrive in a collaborative, fast-paced environment, and complete tasks on agreed schedules. Job Description Primary Responsibilities: Work with the team and departmental managers to create a prioritized list of reporting needs within Infrastructure Elicit and analyze needs and translate / document information into reporting requirements Import and build small databases for data mining Acquire data from primary and / or secondary data sources and maintain databases Use statistical methods to interpret data, analyze results, and provide ongoing reporting Use data to create models that depict trends in portfolio financials and operational effectiveness Run database queries in order to support data validation within reports Filter and “clean” data to locate and correct code problems Identify and recommend new ways to meet the Infrastructure reporting Facilitate meetings to review data findings and metrics Develop and update documentation to support new / changes to procedures Develop, generate, maintain and monitor reports and files Consolidate and create monthly decks providing operational metrics and key messages Works under significant supervision of a Manager Qualifications 1 year of Data Analyst experience with a Bachelor's degree or equivalent transferable experience through coursework, internships or work experience. Strong business and technology aptitude with a willingness to learn and understand business and software solutions. Excellent verbal and written communications; ability to communicate and present requirements and issues clearly and concisely Proficient with elaborate / complex MS Excel spreadsheets (e.g. formulas, pivot tables, graphs, etc.) or Access Database Ability to build strong partnerships and to work collaboratively with all business and IT areas. Highly motivated with strong organizational, analytical, and problem solving skills. Strong communication and documentation skills. Ability to effectively prioritize and execute tasks in a high-pressure environment. Financial knowledge and aptitude Ability to effectively use Microsoft Office products to drive data analytics and reporting. Additional Information Pay Type: Hourly Hiring Rate $27.50 Travel Required No Telecommute % 0 Fully Remote Duration: 2 months with option to convert to full time role. All your information will be kept confidential according to EEO guidelines.

Job Description Why Work at Mercer Advisors? For 40 years, Mercer Advisors has worked with families to help them amplify and simplify their financial lives. How? By integrating financial planning, investment management, tax, estate, insurance, and more, all managed by a single team. Today we proudly serve over 31,300 families in more than 90 cities across the U.S. Ranked the #1 RIA Firm in the nation by Barron's, we are an independent, national fiduciary legally obligated to always act in the best interest of our clients.* Mercer Advisors offers a distinct work environment that stands out in the financial industry. Our overall employee base and client-facing team are composed of 50% women, reflecting our commitment to diversity. We attract top talent from across the country, with no formal headquarters and flexible working arrangements, allowing us to assemble the best team possible. Join us and be a part of a team dedicated to making a meaningful impact on the financial lives of families across the country. * Mercer Advisors was ranked #1 for RIA firms with up to $70 billion in assets. The Barron's top RIA ranking is based on a combination of metrics - including size, growth, service quality, technology, succession planning and others. No fee was paid for participation in the ranking, however, Mercer Advisors has paid a fee to Barron's to use the ranking in marketing. Please see important information about the ranking criteria methodology here. Job Summary: As a Data intern, you will work collaboratively with fellow colleagues at Mercer Advisors to contribute to critical data projects. As a Data Intern, you can work on various initiatives such as customer attrition analysis, document data models, analytics and AI, and more. Your internship will be filled with opportunities for professional development, mentorship, the chance to apply coursework to real-world experiences, and some fun, too! Essential Job Functions: Collaborate with the data team to develop and implement predictive models for customer attrition analysis. Assist in designing and implementing document models to extract valuable insights from unstructured data sources. Conduct exploratory data analysis to identify patterns, trends, and correlations within large datasets. Support data cleansing, preprocessing, and feature engineering tasks to ensure data quality and relevance for analysis. Communicate findings and insights effectively through visualizations, reports, and presentations. Stay updated on industry trends, best practices, and emerging technologies in data science and analytics. Required Knowledge, Skills and Abilities: Must be enrolled in a Bachelors (as a rising Sophomore, Junior, or Senior) or Master's program in Statistics, Data Science, Mathematics, Computer Science or a related field Solid understanding of data science concepts and techniques, including machine learning, statistical analysis, and data visualization. Proficiency in programming languages such as Python or R for data manipulation and analysis. Familiarity with data manipulation libraries (e.g., pandas, NumPy), machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and data visualization tools (e.g., Matplotlib, Seaborn, Plotly). Strong analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Prior experience or coursework in finance, economics, or related fields is a plus. Working Conditions: Professional office environment, daytime hours, working inside, standing, and sitting, will be assigned to a workstation. Location: This is a remote position. Work Schedule: This is a part-time internship during the spring semester. The intern will be able to work up to 20 hours per week. Duration: The internship will be 10 weeks long. We are looking for an intern to start with us during the 2026 Summer session. Benefits: Mercer Advisors offers a competitive and robust benefit package to our employees. Our benefit programs are focused on meeting all of our employees and their eligible dependents health and welfare needs. We offer the following: Company Paid Basic Life & AD&D Insurance Company Paid Short-Term and Long-Term Disability Insurance Supplemental Life & AD Short-Term Disability; Accident; Critical Illness; and Hospital Indemnity Insurance Three medical plans offerings including two High Deductible Health Plans and a Traditional Co-Pay medical plan. Health Savings Account (HSA) with company contributions on a per pay period basis if enrolled in either HDHP medical plan. Two comprehensive Dental Plans Vision Insurance Plan Dependent Care Savings Account for child and dependent care. 14 Company Paid Holidays with a full week off at Thanksgiving. Generous paid time off program for vacation and sick days Employee Assistance Plan Family Medical Leave Paid Parental Leave (6 weeks) Maternity benefits utilizing company paid STD, any supplemental STD, plus Parental Leave (6 weeks) to provide time for recovery, baby bonding, and enjoying your family time. Adoption Assistance Reimbursement Program Company Paid Concierge Services for you and your loved ones for the spectrum of caring needs for your aging parents, young children, life's challenges and more. 401(k) Retirement Plan with both Traditional and Roth plans with per pay period match Pet Insurance We are not accepting unsolicited resumes from agencies and/or search firms for this job posting. Mercer Advisors provides equal employment opportunity to all applicants and employees without regard to age, color, disability, gender, marital status, national origin, race, religion, sexual orientation, gender identity and expression, physical or mental disability, genetic predisposition or carrier status, or any other characteristic protected by law in accordance with all applicable federal, state, and local laws. Mercer Advisors provides equal employment opportunity in all aspects of employment and employee relations, including recruitment, hiring, training and development, promotion, transfer, demotion, termination, layoff, compensation, benefits, and all other terms, conditions, and privileges of employment in accordance with applicable federal, state, and local laws. If you need an accommodation seeking employment with Mercer Advisors, please email *****************************. This email is for accommodation requests only. Accommodations are made on a case-by-case basis. Applicants have rights under federal employment laws: Family and Medical Leave Act (FMLA) Employee Polygraph Protection Act (EPPA) Equal Employment Opportunity (EEO) U.S. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. Mercer Advisors participate in E-Verify to confirm work authorization. E-Verify Right to Work If you are a resident of California, learn more about Mercer's California Consumer Privacy Policy here. CCPA Notice at Collection

Direct Persuasion is actively recruiting a highly motivated individual to join our dynamic and ambitious Republican marketing team. As a Junior Data Analyst, you will have the opportunity to support day-to-day setup, collection, harmonization, visualization, and analysis for prominent political campaigns, national committees, faith-based nonprofits, and conservative-minded organizations. This role offers exposure to diverse data platforms and tools, enabling you to make a significant impact on how the team understands client data and campaign trends with digital fundraising, voter outreach, and persuasion initiatives. Responsibilities Handle pulling, cleaning, and organizing data from ad platforms like Meta, Google, X and more, along with Google Analytics 4, Salesforce, and Google Big Query Maintain business intelligence infrastructure across tools like Datorama, Claude, Looker Studio and Google Sheets Complete data audits and analysis to ensure product quality and troubleshoot issues as they arise Assist with data measurement setup like Google Tag Manager, site tracking, client onboarding, and overall performance reviews Qualifications Bachelor's degree preferred, but not required Passion for Republican politics Background in data preferred, but not required Excellent written and verbal communication skills Proficient knowledge of Microsoft Excel and/or Google Sheets Proficient knowledge of Google Tag Manager and Google Analytics 4 Background in BI tools like Datorama, Looker Studio Background in basic SQL or strong willingness to learn Ability to manage multiple task deadlines Organized, flexible, and able to work both independently and with the team BONUS: Proficient knowledge of APIs, ETL tools, AI analytics tools The type of person who thrives at Direct Persuasion Self-starter Adaptable Organized Enthusiastic Competitive Learner Responsible Ambitious Independent Skills Data analysis Problem solving Data storytelling Culture We are a next-generation digital agency with a passion for Republican politics and issue advocacy. Whether it's converting a user to a donor or a citizen to a voter, we will find our client's audience anywhere on the Internet. We can transform their digital campaigns to drive cost efficiency and significant growth by providing a new age full-funnel media solution. As part of this mission, our agency believes in sourcing, training, and empowering only the best humans to help us achieve success. Our friends in the industry have called us fast, iterative, scrappy, and willing and able to try new things, all while remaining smart, kind, and humble amongst all levels of the team. To show our appreciation for our incredible staff, we have generous vacation policies, WFH flex days, commute budgets, team bonding events, and wellness gifts, all which are available to interns should they choose to stay with us in either an in-person or virtual role following graduation. All that being said, we're so excited to welcome new talent and can't wait to start meeting and greeting applicants soon! Benefits Incentive-Based Bonus Structure Comprehensive Healthcare OneMedical Membership Life Insurance 401K Matching Generous PTO Work-from-Home Fridays Dog-Friendly Office Additional Perks Team bondings and vendor outings Networking with others in the Republican digital space Exposure to talented colleagues at technology platforms, news publishers, and data partners

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.

Junior Data Analyst Arsenault is hiring a Junior Data Analyst (Remote) for our NY headquarters. We are seeking exceptional entry-level talent for this role. Desired Skillsets: Willing to provide on the job training Must be a quick learner Skills used in the role: SQL (80% of day) Stored Procedures Ad Hoc Analysis Data Exploration / Cleaning PBI Excel Day-to-day work description: Exploratory Data Analysis Data Cleansing Writing SQL Scripts for Data Warehousing Report Making Ad Hoc Business Analysis ETL writing Live Dashboard creation to support Operations and Executive Decision Making Job fit: Capable of Deep Work Problem Solver Reliable, consistent Attention to detail What We Offer to You: Competitive pay (DOE), including additional target compensation Opportunity to work and grow your career in a fast-paced environment Medical, Dental, Vision Insurance (90% coverage for you and codependents) Life Insurance Flexible spending account Paid time off Vision insurance 401k Open and friendly, professional office environment Who We Are: We have helped thousands of patients take back their lives from mental illness with specialized clinical expertise and the foremost cutting-edge technology available in mental health today. Arsenaults approach to treating mental illnesses is to offer holistic options and treat the whole person by providing an atmosphere of positivity, support, and healing in an outpatient setting. We believe people should live their best lives, and mental health is a substantial segment of total well-being. We bring the same passion we have for improving our patients lives to providing a work experience that will help you do your best work, enjoy the time you invest at work, and succeed in life outside of work. We take our people and culture seriously and make it a priority to invest in both.

About the job Junior Data Analyst (Remote) As the Data Analyst for the Security Analytics & Innovation team you will help in the development, deployment and administration of Analytical Products as well as Metrics & Reporting that supports the Security strategy, decision making and controls within the organization. To be successful you must be driven and well-organized, with strong learning abilities and be open to creative problem-solving activities. This is an entry level role requiring the individual to have the aptitude to learn and to participate in the activities related to cybersecurity incident response, support, and maintenance activities. If this sounds like you, please keep reading and apply! Primary Responsibilities Create and update policies/procedures and system documentation as it relates to existing and new Analytical products, Metrics & Reporting packages, and Security Controls Map process flows from end to end for research purposes Organize and maintain a Metrics & Reporting Inventory Manage successful Metrics & Reporting Delivery Perform ad-hoc Analysis that contributes to strategy and decision making Aid team supporting Automation maturity efforts Assist with researching Security platform systems and processes Maintain up-to-date knowledge on policies and procedures Work individually and with your team to meet and exceed established goals Schedule and facilitate meetings as needed Job Requirements High School/GED AND two years of Administrative support experience OR Equivalent education/experience. Experience with programming languages such as Python, R Studio, SQL Familiarity in working with structured and unstructured data sources Excellent verbal and written communications; ability to explain project risks and issues, research analysis, and technical concepts clearly and concisely Highly motivated with strong organizational, analytical, decision making, and problem-solving skills Ability to build strong partnerships and to work collaboratively with all business and technical areas. Working Place: New York City, NY

Responsibilities: Provide essential support as a Junior Data Analyst, offering valuable insights for data-driven decision-making, primarily concentrating on retention marketing strategies. Collect, analyze, and interpret data to identify trends and make strategic recommendations for improvement in areas such as product performance, marketing campaigns, customer experience, and customer segmentation. Support the development of retention forecasts and work with other analysts to refine and improve forecasting models. Create reports and dashboards to track key performance indicators. Collaborate with teams across departments to ensure data accuracy and integrity. Other duties as needed. Qualifications: 2+ years of direct and hands-on experience providing solutions. Bachelor's degree in a relevant field (e.g., Business, Marketing, Data Science, or a related field) Excellent analytical and problem-solving skills, detail-oriented, and able to work well within a small, dynamic and data-driven team. Solid understanding of database technologies, data analytics, and reporting tools Strong working knowledge of Excel and Google Sheets required. Solid communication and presentation skills Prior experience with any variant of SQL preferred. Experience with Google Analytics or other web analytical tools preferred Experience with data visualization tools like Looker is preferred. Benefits: 20 Vacation Days 40 Hours Paid Sick Leave Paid Mental Health Days 9 Paid Holidays Life AD&D + LTD Coverage Medical, Dental, Vision, HSA + FSA Employee 401(K) Plan Monthly Utility Allowance Employee Discounts

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.

supports and performs intermediate level technical work, analysis, research, reporting, data governance and related activities associated with supporting the TFS Scheduling team. Specifically, will focus on supporting efforts associated with planning, scheduling, tracking, and resource forecasting for all maintenance, restoration, and capital project activities to ensure the safe and reliable operation of the Transmission System. Essential Job Functions: Develop, review, and present statistical reports related to work scheduling and adherence, crew utilization, KPIs, etc. Participate in special assignments such as process improvement efforts, standards development, scheduling tool implementation, etc. Develop and provide consistent capital project tracking reports Investigate data irregularities and provide feedback to the Work Run IBM Cognos reports to update resource models with time, labor, dates, etc.. Assist with establishing parameters for measureable data and data validation Gain access and be proficient in researching and pulling data from iTOA, IPS, P6, Ecosys, etc. Collaborate with and provide technical support, as necessary, to TFS work scheduling team Support the development of work scheduling practices and procedures to ensure consistency within the group Education Requirement/Experience: Technical degree and/or Associate Business degree with 2 years of experience in the utility industry preferred A high school diploma or equivalent and 4 years of related utility industry work experience. Additional Requirements: Proficient with Excel, MS Office Tools, SharePoint. Experience with IPS, IBM Cognos, Primavera, PowerBI preferred Able to organize and summarize data Skillful in developing detailed KPI, metrics, and progress reports Must be self-motivated, a good communicator and team focused individual!

Join the People Helping People Velera is the nation's premier payments credit union service organization (CUSO) and an integrated fintech solutions provider. The company serves more than 4,000 financial institutions throughout North America, operating with velocity to help our clients keep pace with the rapid momentum of change and fuel growth in the new era of financial services. Our purpose: We accelerate partners' success through innovative financial technology solutions and inspired service. Our Program: When selecting a company for your career are you someone that values bettering communities and the people that live in those communities? Are you looking for an organization that is leading in its industry and continues to grow and innovate based on client needs and industry trends? Does the idea of outstanding team culture and a career that fits your life and goals exciting? Velera's Summer Internship Program provides you - a junior or senior undergraduate student - with the chance to develop and hone your skills in business. We offer the opportunity to build for your future by learning firsthand the Financial and more specifically Credit Union industry through professional inter-organizational experience, coupled with focused learning opportunities in your chosen career path or developmental interest. You'll also gain insight into our rich history, our unique culture, and our committed social conscience. Over the course of this 10-week program, it is VELERA's goal to provide our interns not only with a real job experience that better prepares future graduates for their chosen profession, but to provide them the knowledge and experience vital to navigate a business environment. In our program, interns will engage with a group of their peers in acquiring a knowledge foundation in Credit Unions, the financial industry, Six Sigma, preparing for a job search, presentation skills, and more. You will also be given opportunities to network directly with industry leaders at Velera. Velera Intern Program Entry Qualifications: Completion of sophomore or junior year in an accredited undergraduate degree program with a 3.0/4.0 GPA at time of application. Outstanding verbal and written communication skills, with the ability to coordinate thoughts, communicate, completely, and concisely. Strong, organizational, and detail skills, with the ability to consistently perform as business requests. Strong critical thinking, problem-solving, and cross-functional collaboration skills. Ability to adjust easily when directions and priorities change on short notice. Proficiency in MS Office Suite with a heavy emphasis on Excel. Proficiency in software that applies to your major and function-specific internship. Passion for learning the Credit Union Industry. Believe in Velera's culture and values. Ideal candidates have passion for their community as well as a commitment to diversity, equity, and inclusion. The Opportunity: The Velera Data Science team is looking for a talented and motivated person to fill the role of data science intern. The ideal candidate will work on challenging problems in the financial technology space and bring a mix of curiosity, attention to detail, and innovation to the team. Responsibilities include: Support efforts to collect, clean, and validate data Contribute to quantitative and/or qualitative analysis using statistical techniques and methods Contribute to the training and testing of machine learning models Analyze and visualize data for presentation to key stakeholders The Ideal candidate will possess many of the following qualifications: Currently enrolled in a BS/MS/PhD or equivalent program in Computer Science, Applied Mathematics, Mathematics, Statistics, Physics or similar program Experience with big data platforms such as Databricks or Snowflake preferred SQL skills Understanding of ML algorithms such as XGBoost, DBScan, LSTMs, etc. Understanding of Generative AI models such as GANs, LLMs, etc. Proficiency in one of the following programming languages: R, Python, Scala Experience with open source development tools (e.g., Git, PyCharm, Maven) Experience developing in notebook environments #LI-LM1 About Velera At Velera we are committed to fostering a workplace where every employee feels valued, respected, and connected. We understand, attract and engage a diverse workforce where every employee can live up to their full potential; ensuring that our employee base reflects the consumers we serve. The result of this effort is an inclusive environment where diverse talent thrives. We strive to foster a safe and inclusive work environment for people to bring their authentic selves in order to build a better community within our company and with our partners. Learn more about our commitment to Diversity, Equity, and Inclusion HERE! Pay Equity $20.00 - $20.00 Actual Pay will be adjusted based on experience and other job-related factors permitted by law. Great Work/Life Benefits! Competitive wages Medical with telemedicine Dental and Vision Basic and Optional Life Insurance Paid Time Off (PTO) Maternity, Parental, Family Care Community Volunteer Time Off 12 Paid Holidays Company Paid Disability Insurance 401k (with employer match) Health Savings Accounts (HSA) with company provided contributions Flexible Spending Accounts (FSA) Supplemental Insurance Mental Health and Well-being: Employee Assistance Program (EAP) Tuition Reimbursement Wellness program Benefits are subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions Velera is an Equal Opportunity Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law. Velera is an Equal Opportunity Employer that complies with the laws and regulations set forth in the following "EEO is the Law" Poster . Velera will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the legal duty to furnish information. Velera is an E-Verify Employer. Review the E-Verify Poster here . For information regarding your Right To Work, please click here . This role is currently not eligible for sponsorship. As an ongoing commitment to reasonably accommodate individuals with disabilities please contact a recruiter at ********************* for assistance.

Hiring Manager: COO - ADL Mentor: Data Science Team (Candidates must currently reside in the United States and be authorized to work here. We are unable to consider applicants located outside the U.S. or candidates who would require current or future sponsorship at this time.) Full Time up to 40 hours per week This is a twelve (12) week internship program starting in May 2026. You must be enrolled in college during the internship with a graduation date after August 2026. Company Overview Ever.Ag offers innovative AgTech solutions and services that empower agriculture, food, and beverage supply chains to feed a growing world. The breadth of the portfolio is uniquely capable of supporting the complex needs of companies involved in dairy, livestock, crops, and agribusiness. With decades of experience and industry-leading innovations, our technology, risk management, and market intelligence provide our customers with the tools and insights they need to operate more efficiently, sustainably, and strategically across every stage of the supply chain. To learn more, visit News.Ever.Ag. Summary This position is for a 12 week internship within the Data Science team at Ever.ag. The goal would be to assist the data science team in their continued development and deployment of leading data science applications in the food production supply chain space. What are some potential projects? The project(s) will vary depending on the research and customer projects that current when the intern joins the team. Likely projects / work streams will include: Cleaning and analyzing large complex data sets for commodity food processor to provide insights to customers regarding potential production improvements Working with services and ADL data scientists to understand and document customer problems and translate this into application development and data science requirements Assess cutting edge machine learning techniques in the analysis of large complex data sets for food production companies Develop data science forecasting techniques to improve commodity forecasting accuracy Other duties as assigned What competencies can you expect to receive/improve? Improve technical skills regarding the parsing and analysis of large complex data sets. In particular develop a good understanding of the use of modern data analysis techniques including PYTHON, SQL, R and others Improve presentation skills by summarizing complex data analysis for the understanding of senior executives Appreciate the development of robust production software applications from design to testing and release Hone skills in the general data science field About You (Qualifications): Candidates must be pursuing a bachelors degree or higher in applied science or mathematics or similar from an accredited college or university with a graduation date after August 2026. Should have a real interest in the application of modern math techniques in the advancement of data science research An interest in continuous production and food processing is useful Comfort in taking disparate and complex data sets and refining them into useful, practical insights is helpful About the team: Ever.Ag Data Science lead the industry in applying modern data science and leading research techniques to the world of food processing and production. The team is intellectually curious, and passionate about solving complex real-world problems with practical solutions and applications. We foster a collegiate team culture - recognizing that no one person has all of the answers and that the collective design and solutioning process helps develop a better solution for the customer What you will experience Work on increasingly challenging and engaging real-world projects Gain hands-on experience Collaborate with experienced professionals A casual team environment with colleagues who enjoy working with each other and what they do. Teamwork matters. A bottom-up organization with direct access to the firms' principals, avoiding the bureaucracy that slows down large organizations Our Corporate Values Honesty, Integrity and Trustworthiness - We build trust through transparency and openness. We communicate authentically. Serve our Customers and Each Other - We go above and beyond for our customers, our people and our community. We put our customers at the heart of the business. Embrace Change and a Pioneering Attitude - We have a growth mindset. We innovate and continuously improve. We embrace change with curiosity. Whatever it Takes - We have a can-do spirit. As challenges arise, we run towards them to deliver results. Passion For Excellence - Great isn't good enough. We have high standards, and we continuously strive to improve. Team Player - No egos here. Working together is how we win. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identify or expression, or veteran status. We are proud to be an equal opportunity workplace in hiring and growth opportunities. We are not able to support sponsorship for employment at this time. Who you will be working for Ever.Ag offers innovative AgTech solutions and services that empower agriculture, food, and beverage supply chains to feed a growing world. The breadth of the portfolio is uniquely capable of supporting the complex needs of companies involved in dairy, livestock, crops, and agribusiness. With decades of experience and industry-leading innovations, our technology, risk management, and market intelligence provide our customers with the tools and insights they need to operate more efficiently, sustainably, and strategically across every stage of the supply chain. We welcome candidates from all backgrounds to contribute their unique perspectives to our team. Your success is our success! Please visit our webpage to learn more about us News.Ever.Ag and ********************

Let's build the future of medicine - together. Join Enveda as a Data Science Intern in a remote position and help us transform natural compounds into life-changing medicines. We're a team driven by curiosity and innovation - are you ready to make a difference? Remote | Internship | US Compensation: Undergrad ($1125/week), Masters ($1250/week), Phd ($1500/week) What Makes Us Enveda Life is smart, and we can learn from it. We're reinventing drug discovery by harnessing nature's intelligence. Our platform identifies new medicines four times faster than the industry standard because patients can't wait. What sets Enveda apart isn't just what we do - it's how we do it. Our culture is built on creativity, collaboration, and deep respect for each other. We believe "People Create All Value", and our success is driven by the extraordinary team turning our mission into reality every day. We're proud of the momentum we've built: * Jan 2024: Named a LinkedIn "Top Startup to Watch" * Mar 2024 & Mar 2025: Forbes America's Best Startup Employers * Oct 2024: First drug to Phase 1 Clinical Trials * Aug 2025: Raised 150M Series D, gaining Unicorn status These milestones reflect the impact of our team and we're just getting started, but they're only possible because of the diverse talent, perspectives, and relentless drive of our team, and people like you. Your Role in Our Mission At Enveda, every role drives impact. As a Data Science Intern, you'll be at the forefront of delivering hope to patients everywhere. Your expertise in data analysis, machine learning, and computational biology will be critical in accelerating our mission to develop data-driven solutions tailored toward the drug discovery industry because every breakthrough starts with bold questions and brave actions. What You'll Do * Collaborate on machine learning for mass spectrometry * Engage in computational biology and chemistry projects * Convey scientific results via data visualization and writing We're Looking For * Strong scientific reasoning, analysis, and research skills * Proficiency in the Python data science stack (Pandas, NumPy, PyTorch, etc.) * Experience with biomedical data (preferably metabolomics) This position is a remote, US based role. Qualified candidates based in North America will also be considered. If you're passionate about innovation and impact, we encourage you to apply even if you don't meet every requirement. Our Values: Curiosity | Agency | Journey | Charity | Unity Benefits: Work-Life Harmony | Collaborative Culture Enveda is protecting Job Seekers: We care deeply about creating a safe, respectful experience for every applicant, so we wanted to share a few guidelines to help you spot anything that doesn't feel right. * -You'll always meet real Enveda team members through video or in-person conversations before receiving an offer. * -All communication from us will come from ************** ***************** email address. * -We'll never ask you to purchase equipment, send money, or share sensitive banking details as part of any step in our recruiting process. If something feels off or you're unsure whether a message is truly from Enveda, please reach out at anytime at [email protected]. At Enveda, we're building a place where everyone can do the best work of their life. We are an equal opportunity employer and value diversity in all its forms. Apply now and join a team committed to shaping the future of drug discovery.

Let's build the future of medicine - together. Join Enveda as a Data Science Intern in a remote position and help us transform natural compounds into life-changing medicines. We're a team driven by curiosity and innovation - are you ready to make a difference? Remote | Internship | US Compensation: Undergrad ($1125/week), Masters ($1250/week), Phd ($1500/week) What Makes Us EnvedaLife is smart, and we can learn from it. We're reinventing drug discovery by harnessing nature's intelligence. Our platform identifies new medicines four times faster than the industry standard because patients can't wait. What sets Enveda apart isn't just what we do - it's how we do it. Our culture is built on creativity, collaboration, and deep respect for each other. We believe “People Create All Value”, and our success is driven by the extraordinary team turning our mission into reality every day. We're proud of the momentum we've built: - Jan 2024: Named a LinkedIn “Top Startup to Watch” - Mar 2024 & Mar 2025: Forbes America's Best Startup Employers - Oct 2024: First drug to Phase 1 Clinical Trials - Aug 2025: Raised 150M Series D, gaining Unicorn status These milestones reflect the impact of our team and we're just getting started, but they're only possible because of the diverse talent, perspectives, and relentless drive of our team, and people like you. Your Role in Our MissionAt Enveda, every role drives impact. As a Data Science Intern, you'll be at the forefront of delivering hope to patients everywhere. Your expertise in data analysis, machine learning, and computational biology will be critical in accelerating our mission to develop data-driven solutions tailored toward the drug discovery industry because every breakthrough starts with bold questions and brave actions.What You'll Do Collaborate on machine learning for mass spectrometry Engage in computational biology and chemistry projects Convey scientific results via data visualization and writing We're Looking For Strong scientific reasoning, analysis, and research skills Proficiency in the Python data science stack (Pandas, NumPy, PyTorch, etc.) Experience with biomedical data (preferably metabolomics) This position is a remote, US based role. Qualified candidates based in North America will also be considered. If you're passionate about innovation and impact, we encourage you to apply even if you don't meet every requirement. Our Values: Curiosity | Agency | Journey | Charity | Unity Benefits: Work-Life Harmony | Collaborative Culture Enveda is protecting Job Seekers:We care deeply about creating a safe, respectful experience for every applicant, so we wanted to share a few guidelines to help you spot anything that doesn't feel right. --You'll always meet real Enveda team members through video or in-person conversations before receiving an offer. --All communication from us will come from an @enveda.com or @envedabio.com email address. --We'll never ask you to purchase equipment, send money, or share sensitive banking details as part of any step in our recruiting process. If something feels off or you're unsure whether a message is truly from Enveda, please reach out at anytime at [email protected]. At Enveda, we're building a place where everyone can do the best work of their life. We are an equal opportunity employer and value diversity in all its forms. Apply now and join a team committed to shaping the future of drug discovery.

As the only user-focused observability solution built on OpenTelemetry, Embrace delivers crucial insights across both DevOps, web and mobile teams to illuminate real customer impact - not just server impact - to deliver the best app experiences. Customers like The New York Times, Marriott, Masterclass, Home Depot, and Cameo love Embrace's observability platform because it makes extremely complicated and voluminous data actionable. Our cultural values highlight how we seek to improve as individuals, team members, and a company each and every day. About the Role We're looking for a Data Science Intern to join our team for a 3-month internship focused on uncovering patterns and insights within the billions of mobile and web events that Embrace collects on behalf of its customers' apps. You'll work closely with our product and engineering teams to design and prototype models that detect valuable patterns in user behavior, app performance, and telemetry data-and help translate those ideas into product features that empower web and mobile developers to build better experiences. This is a hands-on, high-impact internship where you'll gain experience applying modern data science and machine learning techniques to large-scale real-world data. What You'll Do Explore, analyze, and visualize large datasets from mobile + web observability data and user session data Develop statistical measures and applied models to identify meaningful classifications, trends, anomalies, or predictive signals in event data Partner with Embrace staff (product + data science) to prioritize research projects and translate research insights into potential product features Present findings to technical and non-technical audiences Contribute to documentation, reproducible notebooks, and internal demos Basic Qualifications Currently enrolled in a Master's program in Data Science, Computer Science, or a related quantitative field Proficient in Python and familiar with key data science frameworks E.g. Pandas/Polars, NumPy, scikit-learn, data visualization libraries such as matplotlib or seaborn Foundational understanding of machine learning concepts (supervised, unsupervised, feature engineering, evaluation metrics) Ability to query and manipulate large datasets using SQL or PySpark Strong analytical and problem-solving skills with attention to detail Excellent written and verbal communication skills Curiosity and enthusiasm for working with large-scale, real-world data Preferred Qualifications Experience working with time-series or event-based data Experience with data visualization tools (e.g., Plotly, Dash, Streamlit, or similar) Familiarity with non-parametric statistics on event-based data Familiarity with deep learning frameworks like PyTorch or TensorFlow and judgement on when to use them Familiarity with cloud data ecosystems (e.g., ClickHouse, Snowflake, BigQuery, AWS, or GCP) Contributions to open-source projects or independent research projects Excitement about learning from experienced engineers and seeing your work influence product direction A love of discovering patterns - and maybe also of Star Wars (or Star Trek ) Compensation: This is a paid internship with an expected hourly rate of $23-$27/hour, depending on experience and program level.

We are a hybrid, remote-office company dedicated to growing our talent anywhere! We have onsite locations in: Sioux Falls, SD, Scottsdale, AZ, Louisville, KY, Troy, MI, Franklin, TN, Easton, PA. At Pathward, we take tremendous pride in our purpose to create financial inclusion for all™. We are a financial empowerment company that works with innovators to increase financial availability, choice, and opportunity for all. We strive to remove barriers that traditional institutions put in the way of financial access, and promote economic mobility by providing responsible, secure, high quality financial products. We are a team of problem solvers and innovators who celebrate our differences and know that our unique perspectives make us stronger and well-positioned for success. We celebrate, and embrace, our team members through our *HUMBLE*HUNGRY*SMART approach, and we believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve. About the Role: Develop and program methods, processes, and systems to consolidate and analyze diverse data sets to generate insights and solutions for customer solutions and program enhancement. Identify and interpret insights from data sources and communicate findings to management. What You Will Do: Gather, clean, and preprocess data from various sources to ensure its quality and usability for analysis. Analyze data using statistical methods and tools to identify trends, patterns, and insights that can inform business decisions. Develop predictive and prescriptive models to forecast future outcomes and optimize business processes. Create reports and visualizations to effectively communicate findings to stakeholders and support decision-making. Work closely with business units to understand their data needs and provide actionable insights that drive strategic initiatives. Monitor and evaluate the performance of implemented models and strategies, adjusting as necessary to improve outcomes. Conduct ad hoc analyses to support various business needs and answer specific questions as they arise. Stay updated with the latest trends and technologies in data analytics and continuously improve analytical methods and processes. Other duties as assigned. What You Will Need: Pursuing a Bachelors' degree in a related field. Record of achievement (academic or otherwise) The responsibilities listed above are not all inclusive and may be changed at any time. Salary range: $14 hourly - $23 hourly The salary range reflects the minimum and maximum target for a new hire in this role. Individual pay within the range will be determined by multiple factors which can include but are not limited to a candidate's experience, qualifications, skills, and location. Your recruiter can share more about the specific salary for your location during the hiring process. Ranges may be modified in the future. This role is also eligible for an annual performance-based incentive opportunity. Pathward offers a comprehensive benefits package for eligible employees, including health insurance, 401(k) retirement benefits, life insurance, disability benefits, paid time off, and more. #LI-Remote Don't have everything listed under qualifications? If you're excited about this role but your experiences don't match exactly to everything in the posting, we encourage you to apply anyway. You may be just the right candidate for this or other Pathward roles. Pathward is an equal employment opportunity employer and considers candidates for roles without regard to their race, sex, national origin, ethnicity, age, disability or any other category protected by law. Who we are: Our commitment to inclusion is woven into our DNA. We believe that we are strongest when we embrace the voices of our employees, customers, partners, and the communities we serve. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, transgender status, pregnancy, national origin, age (age 40 and over), disability, genetic information, marital status, hair texture or hairstyle, ancestry, service in the uniformed services, protected veteran status, status as a victim of domestic violence or any other class protected by federal, state and local laws. Please click here to learn more about our benefits and review information about our Privacy Policy, Affirmative Action Plan and other notices. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. For assistance completing an application, please contact a Pathward People & Culture Representative by emailing - ******************** Please click here to view Pathward's Applicant Privacy Notice. Applications will be accepted for a minimum of 3 days after posting, and there is no predetermined date by which applications should be submitted. Knowingly submitting false information will result in disqualification for consideration of future positions, termination of employment and forfeiture of other rights. Candidate Scam Warning We encourage you to be cautious of hiring scams that impersonate Pathward. Copy and paste the following URL into your browser to learn more: *********************************************************

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

About Us At Splash, our mission is to make music creation accessible for everyone. Since 2017, we've been at the forefront of AI-driven music technology, building experiences that empower the next generation of creators. Our web and gaming-based music tools, including those on platforms like Roblox, have introduced millions to music production in fun and engaging ways. Backed by leading investors including Amazon's Alexa Fund and Khosla Ventures, we're assembling a team of engineers, designers, musicians, and business thinkers who are passionate about redefining the future of music tech. Applications for internships and graduate roles are open to current MBA students, recent graduates, and those early in their careers. This role will work closely with our Australian team, West Coast timezone is preferred as afternoon work is a must for crossing over timezones. The Role We're looking for a Business Analyst Intern to help us analyze product performance, surface insights, and drive smarter decisions across our web and gaming experiences. This role is perfect for a highly analytical thinker - someone who can dive into tricky data sets, find actionable insights, and help build fast, practical solutions. In this role, you'll work with product leaders, engineers, and designers to interpret user behavior, build dashboards, track product performance, and surface opportunities to make our tools better. You'll also help detect bugs, uncover odd behaviors in our game and web experiences, and suggest improvements that lead to smarter, faster decision-making. If you're a current MBA student, recent grad, or someone with strong business/data analysis experience and are passionate about analytics, creativity, and tech this role may be perfect for you! Please note, we receive a high volume of interest for our roles. To ensure your application stands out please consider the requirements listed, our industry of music, gaming and a growing gen z audience and how your experience will help you succeed in this role. Responsibilities - Build and maintain product dashboards using BI tools like Amplitude, Looker, or similar platforms- Analyze user funnels, retention, monetization, and engagement trends across web and gaming products- Troubleshoot bugs, behavioral anomalies, and data inconsistencies; help explain why things happen and propose fixes for future bug mitigation - Work with limited or partial data (e.g. from game engines) and develop creative workarounds to measure key metrics - Support the product and engineering teams with insights to inform roadmaps, experiments, and design decisions- Identify gaps and opportunities in how we understand user behavior and product vision- Help shape how we collect, visualize, and report on product data and business metrics- Present findings and recommendations to stakeholders in clear, compelling formats Collaborate cross-functionally to improve our data pipelines, tagging strategies, and analytics frameworks- Focus on speed and delivery; we move fast, release updates weekly if not daily. This role is not about large projects over months, rather a continual moving and evolving role that will see you adapting to new releases About You We're looking for someone who thrives in ambiguity, loves turning messy data into insights, and is excited by the idea of working at the intersection of product, analytics, and creative tech. You might be a good fit if you:- Are currently enrolled in an MBA program, recently graduated, or have equivalent business/data experience- Have experience with BI or analytics tools like Amplitude, Looker, Mixpanel, Tableau, or similar (if you haven't used our stack, we'd love to hear about platforms you have used and how you've tackled similar problems)- Are a fast, practical thinker who can define what to measure and how to do it without perfect data Know your way around data dashboards, KPIs, funnel metrics, and user segmentation- Love solving product puzzles and identifying bugs, gaps, or mismatches between expected and actual user behavior- Are comfortable communicating insights to non-technical stakeholders and making data feel accessible and actionable- Are curious, adaptable, and passionate about music, gaming, or consumer applications (or all three!) What to Expect - Work alongside a small but powerful team of experts from companies like Spotify, SoundCloud, Twitch, Amazon, and Apple.- Gain hands-on experience in a startup environment where your contributions directly impact our products.- Get mentorship and exposure to how a product-driven tech company operates.- Collaborate in a dynamic, multidisciplinary team of engineers, musicians, designers, and product experts.- Remote work with a global team *Please note, we are a global team, cross-over hours with US and Australia is a requirement for this role. US West Coast is preferred. Application Process To apply, please include: - Your resume and answers to the questions prompted at application (cover letter optional, as these questions should address our specific criteria)- An online portfolio or any attached examples of dashboards, slide decks, or analytical work you're proud of (optional but helpful!) We receive a high volume of interest for our roles. To stand out, focus on your analytical thinking, your ability to move fast, and how you've used data tools to drive better decisions in messy, ambiguous contexts. Diversity, Equity & Inclusion Music has the incredible ability to bridge divides and bring people together, regardless of their background or identity. Like the industry we work within, diversity, equity and inclusion are at the heart of everything we do. We are committed to creating an inclusive environment where everyone feels valued, respected, and empowered. We actively seek out and welcome voices from all backgrounds and believe that diverse perspectives fuel our creativity and drive success. 🚀 Ready to kickstart your career in music tech? Apply now and let's build the future of music creation together! 🎵 PDF preferred For more info visit splashmusic.com

Summer 2026 Internship Opportunity The Plant Conservation Science Internship at Mt. Cuba Center offers an exceptional opportunity to gain hands-on experience in plant research and conservation. As an integral member of the Plant Conservation Science team, interns will participate in field-based research and data collection throughout the region. This position combines extensive fieldwork (60-80% of time) with office-based research and analysis, providing a comprehensive learning experience in plant conservation. Interns will develop practical skills in field survey methods, ecological monitoring, and data management while contributing to real-world conservation efforts. Essential Functions of the Role This dynamic position combines field research with data analysis and project support. The intern will work closely with the Plant Conservation Science team while developing essential skills and knowledge in plant research and conservation. Primary Responsibilities Include Field Research: Conduct plant surveys and population monitoring during the day in primitive field conditions Assist with ecological research project data collection Document plant populations and habitat conditions Support experimental monitoring in forest and meadow settings Participate in habitat assessments and threat evaluation Collect data for ongoing ecological experiments Office-Based Work: Support project preparation through species identification research Assist with data entry and management Participate in team meetings and project planning Contribute to data analysis and interpretation Document research findings and observations Research plant habitat preferences and conservation needs Qualifications and Skills Required Qualifications: Minimum one year of college completed Coursework or planned program of study in ecology, plant biology, horticulture, or conservation Demonstrated interest and curiosity in plants Ability to work outdoors in various weather conditions Ability to work outside and hike on uneven terrain Ability to carry up to 30 pounds Strong attention to detail Ability to work both independently and as part of a team Preferred Qualifications: Prior experience in field work settings Prior plant identification experience Experience with data collection and management Knowledge of native plants and ecological concepts Familiarity with basic research methods Learning Outcomes Interns will develop: Practical experience in field-based plant survey techniques Skills in plant identification and documentation Experience in ecological monitoring methods Data collection and management capabilities Data interpretation skills Professional network within plant conservation A deeper understanding of scientific research methods About the Role: Compensation & Schedule Compensation: $17.00 per hour Duration: May 18 through August 21, 2026 Schedule: 40 hours per week, Monday through Friday Location: Mt. Cuba Center, Hockessin, Delaware Benefits include paid holidays and sick time Housing is not provided Field work transportation provided Opportunities for professional development and networking Interview & Hiring Process We require the following in order to consider your application: Resume Cover letter If you progress through additional stages in the hiring process you can expect to: Complete the online position questionnaire Complete a virtual screening interview Participate in a final interview with the Hiring Manager and interview panel Please note: All applications will be reviewed by our team, and all candidates will receive a status update via email after their application has been reviewed. Due to capacity constraints on our hiring team, we are unable to provide you with a specific status update beyond these parameters. Recruitment Timeline: Application deadline: January 16, 2026 Application review begins: Week of January 19, 2026 Final decisions communicated: Mid-February 2026 Commitment to Diversity Mt. Cuba Center is committed to diversity and inclusivity. We encourage qualified candidates from all cultures and communities to apply. For accommodations or assistance with your application, please email careers[a]mtcubacenter.org.