Data science internship jobs in Eagan, MN

NO 3rd parties. Only LOCAL Minnesota candidates will be considered. This role is contract-to-hire and is located in Minneapolis's southwest metro. Digital Analyst (Mobile Analytics) The Client is seeking a Digital Analyst (Mobile Analytics) who will play a key role in understanding and optimizing the mobile product experience. This position is all about transforming complex data into clear, actionable insights that enhance user engagement, improve product performance, and inform digital strategy. As part of a collaborative analytics team, this role partners with product management, marketing, and engineering groups to measure success, uncover opportunities, and support data-driven decision-making. It's an exciting opportunity for someone who thrives on problem-solving, enjoys exploring data, and wants to contribute to a culture built on insights and innovation. What You'll Do Collect, analyze, and interpret data from mobile app usage, user behavior, and feature performance. Create and maintain interactive dashboards and meaningful reports using BI tools such as Domo and Adobe Analytics. Monitor key performance indicators (KPIs) to identify patterns, opportunities, and areas for product improvement. Collaborate closely with cross-functional partners to define analytics requirements aligned with business goals. Participate in Agile ceremonies, including sprint planning, retrospectives, and analytics reviews. Ensure accuracy and data integrity through validation and quality checks. Document KPI definitions, dashboard logic, and data sources for clarity and long-term usability. Recommend process enhancements and identify ways to automate or streamline reporting. Partner with senior analysts to advance the organization's data maturity and analytical capabilities. Qualifications Bachelor's degree in Business, Analytics, Marketing, Economics, Statistics, Computer Science, or a related discipline. 1-4 years of experience in analytics, BI, or data visualization (experience with mobile data preferred). Strong understanding of BI platforms such as Tableau, PowerBI, Adobe Analytics, Snowflake, or similar tools. Proficiency in SQL for data exploration and analysis. Excellent problem-solving, communication, and collaborative skills. Strong attention to detail and comfort working in a dynamic, fast-paced environment. Preferred Experience Background in mobile analytics with a focus on engagement or retention metrics. Familiarity with Agile or Scrum frameworks and tools like Jira and Confluence. Ability to visualize data in a way that clearly communicates insights to stakeholders. Curiosity and enthusiasm for learning new tools, technologies, and business processes. Experience working on analytics initiatives within large or matrixed organizations.

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

CompanyFederal Reserve Bank of MinneapolisThe Federal Reserve Bank of Minneapolis Graduate Intern Program in Data Science is intended to introduce full-time or part-time graduate students to the broader Federal Reserve System and, more specifically, the use of data science in the Banking Supervision function. Being at the forefront of overseeing the nation's largest and most complex financial institutions is a unique opportunity that requires highly analytical and quantitative individuals. The Grad Intern Program provides an opportunity to work in an intellectually stimulating and collaborative environment, to engage in meaningful public service, and to interact with senior leaders at the Federal Reserve Bank of Minneapolis and across the Federal Reserve System. Interns will gain exposure to and experience with the most important quantitative issues and challenges currently facing the regulatory and financial industries. Interns will receive on-the-job mentoring and professional development as they engage in job duties. APPLICATION CLOSES Sunday, December 7th at Midnight. We are looking for students who are willing to work 40 hours/week for 12 weeks beginning June 1, 2026. Rate of pay is $27.00/hour. This position requires a regular on-site presence. Program Description: Learn to manage, manipulate, interpret, and analyze trends in large sets of data and methodology documents. Enhance knowledge in programming and the software development life cycle. Handle and summarize large amounts of macroeconomic and banking data. Become familiar with different metrics and measures that are used to evaluate the health of the banking system. Synthesize information and glean insights related to banking conditions around the country. Present technical issues to non-technical audiences and clearly articulate findings in verbal and written form. Utilize advanced statistical techniques to analyze conditions in the banking sector, or across various industries or communities. Participate in internal networking and mentorship opportunities with quantitative staff and leadership across the Federal Reserve System. Required Qualifications: Currently enrolled and actively pursuing a graduate degree in a quantitative field such as (but not limited to) Computer Science, Data Science, Economics, Engineering, Finance, Mathematics, Physics, Statistics, etc. Strong academic record in MS or Ph.D. program. Knowledge of query languages such as SQL. Demonstrated experience with R or Python. Code samples will be requested from selected candidates. Ability to work collaboratively within a team. Meet Protected Individual requirement. Able to work 40 hours per week throughout the duration of the 12-week internship program, starting in June 2026. Additional Preferred Qualifications (Not Required): Knowledge of R Shiny dashboard building and reporting experience using R Markdown. Knowledge of collaborative version control platforms such as GitLab. Knowledge of Finance and Banking. Knowledge of Data Visualization. This position requires access to confidential supervisory information (CSI) and/or Federal Open Market Committee (FOMC) information. Access to CSI and FOMC information is limited to U.S. citizens, lawful permanent residents, individuals who meet the definition of “protected individual” under 8 U.S.C. § 1324b(a)(3), and certain other nonimmigrants. Candidates who are not U.S. citizens must sign a declaration of intent to expeditiously become a U.S. citizen when eligible. Please note: We do NOT provide relocation assistance, housing, travel reimbursement, or sponsorship. The Minneapolis Fed is committed to fostering an environment where all employees are respected and valued. We provide equal employment opportunity to all persons and we work together to pursue an economy that works for all of us. Full Time / Part TimeFull time Regular / TemporaryTemporaryJob Exempt (Yes / No) NoJob CategoryInternship Family GroupWork ShiftFirst (United States of America) The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences. Always verify and apply to jobs on Federal Reserve System Careers (************************************* or through verified Federal Reserve Bank social media channels. Privacy Notice

Who Are We? Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Science Compensation Overview The hourly salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual hourly rate for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $35.00 - $45.00 Target Openings 30 What Is the Opportunity? The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization. As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques. You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics. Applications for this posting will be reviewed on a rolling basis beginning in early November. We encourage you to apply as soon as possible. What Will You Do? * The internship offers a training curriculum focused on data science and business acumen. Other program components include formal mentoring, networking, and career guidance. * DSLDP Intern duties will vary based on the specific assignment, within one of our research groups, including: * Bond & Specialty Insurance * Business Insurance Research & Development * Claim Business Intelligence & Analytics * Personal Insurance Research & Development * Other departments, including Artificial Intelligence and Emerging Technologies * Work includes: * Providing recommendations on projects that deal with data science related concepts * Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business * Identifying, integrating and structuring complex data flows * Identifying new opportunities for analytic solutions * Validate, manipulate and perform data analysis tasks * Provide qualitative and quantitative data support to ensure accuracy of metrics * Perform other duties as assigned. What Will Our Ideal Candidate Have? * Pursuing a Master's or PhD level degree in Statistics, Mathematics, or Data Science. * Applied statistical knowledge and experience solving "real-world" problems. * Demonstrated ability to communicate technical concepts to a non-technical audience. * Experience with a programming language (Python, R, SAS, etc). * Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results. * Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making. * Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands. * Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients. * Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility. * Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude. * Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position. * Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives. * Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results. * Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result. * Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn. What is a Must Have? * Pursuing a Master's or PhD level degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. We are committed to providing accommodation to persons with disabilities. If you require accommodation during the recruitment or interview process we will work with you to accommodate your needs. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit *********************************************************

Graco manufactures and markets premium equipment to move, measure, control, dispense and spray a wide variety of fluid and powder materials. What does that mean? Well, we pump peanut butter into your jar, and the oil in your car. We glue the soles of your shoes, the glass in your windows and the screen on your phone. We spray the finish on your vehicle, coatings on your pills, the paint on your house and texture on your walls. Graco is part of your daily life. The Graco Intern Program offers more than just work experience-it's a chance to make an impact. As an intern, you'll take on projects that matter to the business, contribute to initiatives that drive progress, and develop skills that prepare you for what's ahead. Throughout the program, you'll expand your industry knowledge, collaborate with professionals who are passionate about doing things the right way, and experience a culture that thrives on new ideas and continual growth. You'll also take part in events designed to support both your learning and personal development. The program concludes with a final presentation where you'll showcase your achievements and the difference you've made. The Data Science Intern will work with large datasets from our production operations, supply chain, and product performance, contributing to data-driven decisions that enhance operational efficiency, product quality, and customer satisfaction. As a member of the Data Analytics team, the individual in this position will gain valuable exposure to statistical modeling, machine learning, and advanced analytics, while collaborating with experienced data analysts, engineers, and manufacturing professionals. What You Will Do at Graco * Collect, clean, and preprocess structured and unstructured data from sources such as manufacturing equipment, IoT sensors, and supply chain systems to enable actionable insights. * Perform exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for optimizing the movement and handling of critical materials in Graco's systems. * Assist in developing and implementing machine learning models for use cases such as predictive maintenance, process optimization, demand forecasting, and quality assurance in material movement. * Create insightful data visualizations and dashboards to effectively communicate findings to cross-functional teams, including engineering, operations, and leadership. * Collaborate with senior team members to analyze data related to Graco's innovative material handling systems and contribute fresh ideas for solving manufacturing and operational challenges. * Document methodologies, workflows, and results to ensure reproducibility and scalability across Graco's global operations. * Participate in team meetings, present findings, and contribute to discussions around improving manufacturing processes and enhancing business outcomes. What You Will Bring to Graco * Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. * Strong programming skills in Python or R; familiarity with libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch is a plus. * Experience with SQL and working with relational databases. * Understanding of statistical methods, machine learning concepts, and data visualization techniques. * Strong problem-solving, analytical thinking, teamwork and communication skills. * Ability to work both independently and collaboratively in a fast-paced manufacturing environment. Accelerators * Experience with data visualization tools (e.g., Tableau, Power BI) to create insights for engineering, manufacturing, and operational teams. * Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or manufacturing-specific platforms like MES (Manufacturing Execution Systems). * Familiarity with data and analytics cloud platforms (e.g., Snowflake, AWS) * Familiarity with Gen AI capabilities. * Knowledge of IoT frameworks and working with time-series data from sensors embedded in Graco's material movement systems. * Previous internship or academic project experience working with data in a manufacturing or industrial setting. * Interest or experience in material handling, industrial machinery, or manufacturing processes relevant to Graco's mission of moving materials that matter. What You'll Gain * Hands-on experience with large-scale data analysis and machine learning projects tailored to Graco's advanced manufacturing processes and material handling innovations. * Opportunities to contribute to impactful projects that enhance operational efficiency, reduce equipment downtime, and improve product quality. * Exposure to cutting-edge technologies, including IoT data, predictive maintenance, and process automation, in a global manufacturing environment. * A collaborative and supportive environment to grow your technical and professional skills while contributing to Graco's mission of moving materials that matter. Applicants must be legally authorized to work in the United States. This role is not eligible for immigration sponsorship now or in the future (e.g., H-1B, TN, F-1 OPT). At Graco, you truly make a difference. Your unique talents contribute to our organizational growth and future. Not only do you make a difference, but Graco's culture empowers employees to create their own career path. Whether you choose to advance within your current department or explore new opportunities in different divisions, you have the ability to build your future. Our managers are here to provide support and guidance as you continue to grow within your career. Graco has excellent opportunities available to individuals who want to be part of a fast-moving, growing company that is committed to quality, innovation and solving fluid handling problems for our customers. Graco is proud to be named a Best Place to Work by Fortune Magazine in 2016, 2018, 2019, 2021 & 2022. Graco offers attractive compensation, benefits and career development opportunities. Graco's comprehensive benefits include medical, dental, stock purchase plan, 401(k), tuition reimbursement and more. Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit ********************* The base pay range for this position is listed below, exclusive of fringe benefits or other compensation. If you are hired, your final base hourly rate will be determined based on factors such as geographic location, skills, competencies, education, and/or experience. In addition to those factors, we will also consider internal equity of our current employees. Please keep in mind that the range provided is the full base salary range for the role. Hiring at or near the maximum of the range would not be typical to allow for future and continued salary growth. $21.00 - $28.00

We are seeking a Building Science 3-month intern to join our Bloomington, MN office. Braun Intertec is a 100% employee owned award-winning consulting firm offering geotechnical, environmental and testing solutions in the private and public sectors. We are committed to providing a challenging and rewarding environment that encourages employees to make full use of their knowledge, skills and abilities. Opportunities: Training and work throughout the Co-op program includes varying levels of exposure and experience in the following areas depending on the work load and need: building envelope, component constructability, material analysis and field service testing training Collect and test construction materials samples in a variety of different structures (i.e. pavements, damns, buildings, etc.) by using the some of following methods: coring, ground penetrating radar, falling weight deflectometer, anchor tests, floor flatness, Non-destructive testing, and other test methods and work as apparent or assigned Help with performing vibration monitoring tasks and activities that can include; deployment of monitors, field servicing monitors at construction sites, real time vibration monitoring, data collection and processing Perform building condition surveys or help with building condition assessments by collecting and documenting existing field conditions through the use of cameras (still or video), field notes, field measurements, etc. Mentoring from licensed architects/engineers and practical engineering applications to develop your professional role Learn procedures and gain exposure to ICC, NFPA, ADA, ASTM, ANSI, AAMA and other standards Add to your professional résumé with experience and references from a well-respected engineering consulting firm Competitive pay and the opportunity to work overtime Requirements: College student working toward architecture, civil-structural engineering or construction management degree or related field Must be able to commit to full-time employment for six months; from May to November/December Have a valid driver's license and clean driving record Ability to lift 50 pounds on a regular basis Willing to travel up to 50% and overnight Must be willing to work overtime and weekends as necessary Good communication skills Ability to multi task in a fast paced environment Mechanically inclined Able to walk, stand, climb at job sites and lift 50 pounds Some related work experience preferred, but will train top applicants Braun Intertec is proud to be an Equal Opportunity, AA/EEO/Veterans/Disability friendly, employer. Compensation Range: $35,500.00 - $53,500.00 As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, veteran or disability status. Braun Intertec strives to ensure that its careers web site is accessible to all. If you need assistance completing your online application, please email ************************. As an Equal Opportunity Employer, Braun Intertec is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation to assist with your job search or application for employment, please e-mail us at ************************. In your e-mail, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Factory Motor Parts is looking for an experienced fast paced Data Analyst at our corporate headquarters in Eagan, MN. The Data Analyst - Incentives and Pricing is responsible for analyzing incentive programs and rebate structures to ensure alignment with regional strategies and corporate objectives. This role involves deep data analysis, competitive benchmarking, and close collaboration with Sales Teams, Regional Sales Managers (RSMs), Regional Leadership, and Pricing Managers to drive ROI and optimize the impact of incentive spending. Key Responsibilities Conduct data-driven analysis of current incentive and rebate programs, providing actionable insights. Collaborate with Sales Teams and Regional Leadership to assess and align program effectiveness with regional dynamics. Evaluate return on investment (ROI) of incentives and communicate performance outcomes to senior leadership. Lead regional projects focused on maximizing the effectiveness of incentive and rebate spend. Perform ad-hoc margin and financial analysis to support key business decisions. Required Skills & Qualifications Bachelor's degree in Business, Finance, Economics, or a related field (or equivalent experience). Minimum of 5 years of experience in data analysis, financial modeling, or similar roles. Strong proficiency in Microsoft Excel, Access, Word, and PowerPoint. Proficient with SQL and VBA Proficient with Google Apps (Docs, Sheets, Slides) Excellent analytical, communication, and presentation skills involving complex data sets Ability to manage multiple priorities and deliver insights in a fast-paced environment. WORK ENVIRONMENT: Work is performed in a company office building. Lifting requirements of up to 25 pounds on an occasional basis may be required. Wrist and finger manipulation due to computer work, calculating, compiling and filing. Equipment used may include but is not limited to computer, calculator, telephone, copy and fax machines. We are an EEOC/AA Employer. An industry leader, FMP offers well-balanced compensation and benefits programs, which may include medical, dental, vision, life, 401K, profit sharing, paid holidays/vacation/sick time, STD/LTD, + much more. Salary is based on experience and job performance.

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Location: This position is a hybrid role based out of our Minneapolis, MN office. The current expectation is that we are in office two days each week (Tuesday-Wed), with extra additional days as required during the month. Overview: The Data Analyst is a member of the Data Governance within Finance. The two primary outcomes of this job are to ensure our business units are interacting with accurate and meaningful data and that our data is captured efficiently. To achieve these two outcomes this role will be working with multiple business units to understand how our data is captured and processes. They are responsible for analyzing/researching data entry errors, resolving them, and troubleshooting to find the process creating the errors and resolving it. They are also responsible for identifying areas where business units can be more efficient in leveraging their internal systems. Duties and Responsibilities: * Prioritize internal requests to fix data coming from multiple business units; * Develop and maintain repository of systems, objects, fields, forms, and workflows defining their function and dependencies to be used for keeping data clean and accurate going forward; * Manage ownership over each key data element within our systems to ensure appropriate business teams are involved in changes; * Maintain an in-depth knowledge of the processes relevant to data analytics that are in place for each department while identifying areas for process improvement and working to fix them; * Provide clarity to field values, calculations, and reporting to improve internal understanding and enhance customer interaction; * Gain knowledge of our end-to-end ecosystem design aligning with best practice and improved interaction with other key systems; * Collaborate with business process subject matter experts across all departments to develop mechanisms and rulesets to validate the accuracy of data; * Maintain compliance with Inovalon's policies, procedures and mission statement; * Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; and * Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Employer. Job Requirements: * Minimum 2 years of relevant experience; * Minimum 1 years of experience with Salesforce or similar CRM system; * Strong knowledge in Microsoft Excel; * Excellent verbal and written communication skills; * Proven ability to work effectively under pressure & meet deadlines; * Excellent time management skills; * Strong ability to research complex systems and data sets; * Ability to evaluate processes and drive improvement; * Ability to work with cross functional teams, including but not limited to, IT, Sales, Customer Support, Finance; * Experience working in a complex, fast paced organization; * Experience working with Great Plains, Oracle, Hyperion, and PowerBI a plus; and * Ability to write SQL queries preferred. Education: * BA/BS in computer science, statistics, economics, finance or related field or equivalent relevant experience; Physical Demands and Work Environment: * Sedentary work (i.e. sitting for long periods of time); * Exerting up to 10 pounds of force occasionally and/or negligible amount of force; * Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; * Subject to inside environmental conditions; and * Travel for this position will include less than 0% locally usually for training purposes. This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. Responsibilities Job Summary The Data Governance Analyst will support the development and execution of enterprise-wide data governance initiatives. This role will focus on ensuring the integrity, quality, and protection of data assets through the implementation of governance frameworks, data quality controls, and metadata management practices. The Analyst will work closely with business units, IT, and compliance teams to support the organization's data governance strategy and ensure alignment with regulatory and risk management expectations. Salary Range The annual salary range for this position is $60,000.00 - $121,300.00. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled. Key Accountabilities Data Governance Operations * Assist in the implementation and maintenance of the enterprise data governance framework, including policies, standards, and procedures. * Support the development and execution of data quality rules, issue tracking, and remediation processes. * Maintain and enhance metadata repositories and data catalogs using tools such as Informatica or Microsoft Purview. Data Stewardship and Collaboration * Partner with data owners, stewards, and business units to define and document data definitions, lineage, and usage. * Facilitate working groups and workshops to gather requirements and promote data governance awareness across the organization. Risk and Compliance Support * Monitor and report on data governance metrics, including data quality trends, audit findings, and remediation progress. * Support internal and external audits by providing documentation and evidence of data governance controls and practices. Project and Initiative Support * Contribute to enterprise initiatives such as the Modern Data Platform migration, report certification programs, and regulatory reporting enhancements. * Participate in cross-functional projects to ensure data governance requirements are embedded in system implementations and process changes. Qualifications and Education Requirements * Bachelor's degree in information systems, Business, Risk Management, or a related field. * 2+ years of experience in data governance, data management, or risk/compliance roles. * Familiarity with data governance frameworks (e.g., DCAM, NIST Privacy Framework, FFIEC). * Experience with data quality tools, metadata management platforms, and reporting tools. * Strong analytical, communication, and collaboration skills. Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, to fill a specific position. Our culture is firmly rooted in our core values. We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical. We are Old National Bank. Join our team!

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE. JOB SUMMARY: The Data Scientist role is responsible for using their skillset to create recommendations for complex business decisions for Marketing at Polaris using a wide variety of data science techniques - from exploratory data analysis to predictive analytics. In addition to advanced analytics skills, the ideal candidate is proficient at integrating and preparing large and varied datasets, designing and implementing production algorithm scoring, and communicating results effectively to both technical and non-technical audiences. Your focus will be on Marketing Analytics across Polaris, optimizing decisions related to marketing personalization, channel performance and media investment. You are primarily a data scientist but are passionate about developing advanced end-to-end analytics and technology solutions that drive value for the business and customer. Our Data Scientists are instrumental in using data to help drive Polaris forward as we pioneer product breakthroughs and enriching experiences that help people work and play outside. ESSENTIAL DUTIES & RESPONSIBILITIES: Acquire a deep understanding of marketing and business problems facing Polaris and develop end-to-end data driven solutions Extract, cleanse, and combine large datasets from multiple sources and systems Perform exploratory and targeted analyses, with a wide variety of statistical methods including clustering, regression, decision tree/random forest, time series, neural network, and others Collaborate cross-functionally to arrive at actionable insights Synthesize results with business input to drive measurable change and effectively communicate technical analyses and results to business management Integrate and productionize model results into both cloud and edge compute hardware platforms Ensure quality of data & solutions throughout development process Utilize existing templates to diligently write up findings and results for storage in a central location Collect feedback from business users to continuously improve data science products Manage suite of customer, personalization, and marketing algorithms and apply to business problems Marketing test design and best practices for measurement Leverage knowledge of marketing operations to identify opportunities for new marketing algorithms and new variables to introduce into existing algorithms Developing new in platform marketing measurement tools with Meta, Tradedesk and Google Support development of innovative Marketing capabilities that leverage technology advancements by synthesizing complex datasets and providing predictive algorithms Support Marketing team with statistical expertise consulting and apply to test results or marketing performance SKILLS & KNOWLEDGE Bachelor's degree in Applied Statistics/Mathematics, Data or Computer Science, or work experience equivalent. Advanced degree in a quantitative field preferred 2+ years of professional work experience (post schooling & internships) in a predictive analytics-focused role Strong understanding of statistical methods and predictive/analytical modeling techniques and practices Strong experience with one or more data mining/predictive modeling tools: SQL, R, Python, Snowflake Proficient with one or more data visualization tools: Tableau, Power BI Experience with data preparation, rationalization, and processing in a cloud environment - Azure a plus Ability to effectively foster cross-functional relationships across various teams (e.g., data & analytics teams, sales, supply chain, etc.) and develop a good view of how the business operates so that analytical results can be framed in a business context. Excellent attention to detail and strong organizational skills to manage multiple work requests and projects. Ability to take on diverse ad-hoc data science requests involving multiple factors that have various scope/goals High energy and results oriented. Looking to make improvements and change Strong verbal and written communication skills WORKING CONDITIONS Office environment Limited travel may be required This position is not eligible for sponsorship The starting pay range for Minnesota is $85,000 to $112,000 per year. Individual salaries and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere in the range based on these factors, it is not common to start at the high end or top of the range. #LI-GR1 #LI-Hybrid To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing. We are an ambitious, resourceful, and driven workforce, which empowers us to THINK OUTSIDE. Apply today! At Polaris we put our employees first, by offering a holistic approach to their health and financial wellbeing. Polaris is proud to offer competitive compensation, including a market-leading profit-sharing plan that is fundamental to our pay-for-performance culture. At Polaris, employees are owners of the company through company contributions to our Employee Stock Ownership Plan and discounted employee stock purchases plan. Employees receive a generous matching contribution to 401(k), financial wellness education and consultation to plan for their financial future. In addition to competitive pay, Polaris provides a comprehensive suite of benefits, including health, dental, and vision insurance, wellness programs, paid time off, gym & personal training reimbursement, life insurance and disability offerings. Through the Polaris Foundation and our Polaris Gives paid volunteer time off, we support employees who actively volunteer their time, efforts, and passions to improve the health and wellbeing of the communities in which they live, play and work. Employees at Polaris drive our success and are rewarded for their commitment. About Polaris As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER , RZR and Polaris GENERAL™ side-by-side off-road vehicles; Sportsman all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Indian Motorcycle mid-size and heavyweight motorcycles; Slingshot moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. *************** EEO Statement Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at ************ or ****************************** . To read more about employment discrimination protection under U.S. federal law, see: Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) .

The Minnesota Star Tribune is an innovative modern media organization building on an extraordinary 158-year legacy. With seven Pulitzer Prizes and numerous other accolades, we stand as a beacon of journalistic excellence in Minnesota. We are the heart and voice of the North. Our mission is to build a better Minnesota by connecting us with the people, ideas, and stories that strengthen our communities. We're seeking dynamic leaders who are passionate about journalism and democracy to help shape this future. If you are excited about reinventing one of our state's most trusted institutions and leading us into a new era of growth and excellence, we want to hear from you. The Minnesota Star Tribune offers a 10-week summer internship with our newsroom data journalism team at our headquarters in Minneapolis MN. We select talented, driven college seniors and graduate students who are ready to put their data skills to practice. We expect our interns to come to us with skill and leave with polish and invaluable experience from a major-market newsroom. Interns are paid $850 a week for 40 hours. Star Tribune is committed to a diverse and inclusive workplace, and it encourages qualified applicants of all backgrounds to apply. Candidates should recognize that legacy news operations must merge diversity-and-inclusion aspirations with audience needs to succeed and support that goal. We expect our data team intern to have: Solid news judgment. Strong organizational and project management skills. Excellent written and verbal communication skills, including the ability to write stories. Fluency in at least one data analysis tool, such as spreadsheets, R or Python. Some experience with other data tools, such as SQL, Datawrapper, Flourish, OpenRefine. We aim to provide this person with opportunities to learn from our data team and practice not only their data analysis and visualization skills, but also reporting and writing. In addition, they will partner on stories with newsroom reporters and get an inside look at how a data team operates within the larger newsroom. Qualifications: A solid journalism background combined with an eagerness to learn and experiment are paramount. Candidates should have experience in using data to tell stories, excellent communication skills, and a proven track record of collaboration. Candidates should be comfortable using at least one data analysis tool and the willingness to build additional skills, as needed. Preference to anyone interested in pursuing a full-time data journalism position in the future. Top candidates can demonstrate they're ready to make the most of this opportunity. The term will be early June to early August. Your application, which must be uploaded by Nov. 1, should include: Five to 10 links to news stories or other published content that show your data skills and/or data stories/projects you did on your own or in collaboration with other students for a class. Please include news stories that also display your writing and other reporting abilities, even if those do not include data analysis. Applications without these submissions will not be considered. A memo describing the work you did for each of your submissions that involved data analysis/visualization. This is especially crucial for stories you did in collaboration with others, so we can discern your role from what others did. A resume detailing your journalism experience, and three references, including their titles, phone numbers and email addresses. Two letters of recommendation. At least one of those letters should come from an editor who has seen you work in a professional environment on deadline. Please do not submit letters of reference from fellow student journalists. Reference letters can be attached to your application or emailed to ***************************** with your name in the subject line. Questions? Email Colleen Stoxen, Deputy Managing Editor, ******************************. Please do not email your application; to apply, you must upload here. Hourly Compensation: This internship will be paid at $21.25/hour More about the Minnesota Star Tribune: At the Minnesota Star Tribune, we recognize that our employees are our greatest asset, and we are committed to their happiness, growth, and well-being. Here's a snapshot of the exceptional benefits we offer: Modern Downtown Office: Enjoy a state-of-the-art workspace with a free fitness center, collaborative center, golf simulator, and a rooftop patio. Honored in 2023 with Diversity MBA's inaugural Top 25 Outstanding Leadership and Diversity Impact Awards, we are proud of our commitment to diversity and inclusion. Equal Opportunity Employer: Even if you don't meet every single requirement for this role, we encourage you to apply. At the Minnesota Star Tribune, we are dedicated to building a diverse and inclusive workplace and welcome applicants from all backgrounds.

Mur-chol- uh -jee | The science of company merch; the skill of creating and delivering custom-branded apparel and corporate gifts around the world. Merchology is a leading eCommerce retailer in B2B sales of co-branded merchandise including apparel, headwear, drinkware, gifts, and accessories. We are family-owned, people-powered, and we are adding to our #MerchFam at our facility in Plymouth. Come see why we are a three-time Star Tribune Top Workplaces award winner! Merchology is in pursuit of a Data Reporting Analyst Intern to join our Development Operations team. This individual will play a key role in transforming raw data into meaningful insights. They will support the design, development, and maintenance of dashboards, reports, and analytics using tools such as Power BI, Tableau, and Excel and will collaborate closely with business stakeholders and data engineers. PRIMARY RESPONSIBILITIES A successful Data Reporting Analyst Intern will: Data Management & Reporting Develop, maintain, and automate dashboards and reports using Power BI, Tableau, or similar visualization tools Support the collection, cleaning, and transformation of data from multiple sources, including Snowflake, SQL databases, and Excel Assist with the creation and maintenance of data models and data pipelines Ensure data accuracy, consistency, and integrity across reports and systems Perform ad-hoc analysis to support business decisions and identify actionable insights Analytics & Insights Analyze trends and performance metrics across departments to support strategic initiatives Help define and track key performance indicators (KPIs) to measure business performance Translate data findings into clear visualizations, summaries, and recommendations for stakeholders Collaborate with teams to understand reporting needs and propose analytical solutions Data Governance & Quality Support data quality assurance by validating datasets, reports, and visualizations Document data sources, metrics definitions, and reporting processes Assist in improving data governance and standardization practices across the organization Application & Platform Administration Administer internal collaboration platforms including Microsoft 365 and SharePoint Online Assist in software license tracking, renewals, and audits Collaboration & Communication Work with cross-functional teams (Finance, Operations, Sales, Marketing) to gather reporting requirements Present findings in clear, concise formats to technical and non-technical audiences Maintain documentation of report logic, queries, and visualizations for knowledge sharing Requirements REQUIRED QUALIFICATIONS Currently pursuing or recently completed a Bachelor's Degree or Higher in Data Analytics, Information Systems, Computer Science, or related field Familiarity with data visualization tools (e.g., Power BI, Tableau) Proficiency in Excel, including advanced formulas, pivot tables, and charts Basic SQL knowledge for querying relational databases Strong analytical mindset with attention to detail and data accuracy PREFERRED QUALIFICATIONS Experience with cloud data platforms such as Snowflake or Azure Synapse Familiarity with ETL processes and data modeling concepts Knowledge of Python or R for data analysis or automation Ability to manage multiple projects and prioritize tasks effectively Clear communicator who can turn data into meaningful business insights WHAT WE OFFER In addition to an outstanding creative culture, authentically nice people, and interesting work, we have: The pay range for this position will be between $20-$30 an hour Generous PTO (18 days per year)* 8 company-paid holidays* Hybrid work schedule for select departments 40 hours of paid volunteer time* 401(k) with match* Medical and dental insurance options, FSA, and HSA* Company-paid life insurance and short-term disability* Company-sponsored social events Premium brand partner discounts Employee-led Committees in Social Events, Wellness, DE&I and Giveback * denotes full-time permanent employee benefits LOCATION 3000 Niagara Lane North, Plymouth, MN 55447 Remote hybrid role: Three days onsite and two days remote following training INDUSTRY Business to Business eCommerce and Apparel Merchology is an equal opportunity employer and certified Disability-owned Business Enterprise. We celebrate diversity and are committed to a workplace where personal and professional growth are achieved through inclusion. If you require disability resources to submit your application, please email ******************* for assistance.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Passionate people. Loyal clients. Leading solutions. With a rich culture of creative collaboration and professional growth, IDeaS' team members build successful careers with us. IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we're working, our teams come together to create leading revenue management solutions that accelerate our clients' growth through revenue optimization. Summary: Passionate people. Loyal clients. Leading solutions. With a rich culture of creative collaboration and professional growth, IDeaS' team members build successful careers with us. Headquartered in Bloomington, MN, with a technology center in Pune, India, and regional offices across six continents, IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we're working, our teams come together to create analytical solutions that accelerate our clients' growth through automated decisions. An integral part of IDeaS' growth strategy is to explore opportunities where the company's analytical and decisions-system capabilities can be applied to solve tomorrow's business challenges in travel, hospitality and beyond. The IDeaS.Lab team leads this effort through continuous innovation to develop new solutions together with our internal teams, clients & partners. The Business Analyst Intern, Emerging Solutions reports directly into the Director, Emerging Solutions and plays an essential role in supporting one or more projects within the IDeaS.Lab department. This internship offers hands-on experience in AI-driven business innovation, providing opportunities to learn, contribute, and make a real impact. Primary Responsibilities Design and test prompts for AI models and agents to support IDeaS.Lab outcomes. Map and document business processes, identifying opportunities for automation and agentic AI using Microsoft 365 tools (e.g., Power Automate, Copilot Studio). Support the design, prototyping, and documentation of Copilot agents and automated workflows, under guidance. Help audit and recommend improvements to SharePoint/Teams file structures and permissions, supporting a streamlined and secure collaboration environment. Contribute to user guides and training materials for new workflows and file management practices. Assist in developing project plans, tracking progress, and communicating status to stakeholders. Communicate and track regularly on the status of project goals by ensuring project results meet requirements regarding quality, reliability, and schedule. Supports IDeaS.Lab team to ensure agreed upon goals, objectives, and deadlines are met. Contribute ideas and observations regarding processes and/or procedures to improve efficiency, customer service, quality and/or cost savings as part of assigned projects, under the guidance of the IDeaS.Lab team. Knowledge, Skills and Abilities Proficiency in the Microsoft 365 tools ( Teams, Co-Pilot, SharePoint, Power Automate, Power Apps & Copilot Studio) Interest or experience in designing and implementing automated workflows and agentic AI solutions. Understanding of file management, permissions, and collaboration best practices in SharePoint and Teams Confident in fast-paced environment, with ability to perform well under pressure; ability to adhere to deadlines Recommended: knowledge of MS Project, Wrike, Smartsheet's or similar project management tools Excellent organizational and problem-solving skills Excellent negotiation, facilitation, and presentation skills Excellent interpersonal, oral, and written communication skills Ability to work and communicate effectively and efficiently in teams, including virtual teams. Complexity Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Networks with senior internal and external personnel in own area of expertise. Education Path towards a Bachelor's or Masters degree or similar, preferably in Business Management, Information Systems or Computer Science, related field. Experience Minimal experience required but coursework or project experience in research, analysis, automation, data science or AI is preferred. Equivalency: Equivalent combination of education, training, and relevant experience may be considered in place of the requirements stated above. We Support Who You Are…. As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world. Whether you're launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life. At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents and provides a place for diverse ideas, unique perspectives, and authentic voices. Additional Information: To qualify, applicants must be legally authorized to work in the United States , and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above. Resumes may be considered in the order they are received. IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment. IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. #IDeaS #LI-Hybrid

. Pay Rate: $14.25/hour ESSENTIAL DUTIES AND RESPONSIBILITIES Perform day-to-day tasks to support assigned area with meeting business needs while satisfying internship requirements Operate a Point of Sale System, process cash, credit / debit card and Players Card comp transactions for services and retail products Adhere to cash handling and financial transactions policies and procedures Complete special projects to support assigned area with meeting business needs while satisfying internship requirements Provide accurate and consistent support in assigned department Work 3 - 5 special events, including parades, concerts, fairs and festivals to assist with property needs * Specific duties for each intern may vary and are intended to provide a well-rounded perspective to satisfy internship requirements. KNOWLEDGE AND CERTIFICATION, SKILLS AND ABILITIES Knowledge and Certification Required: High School Diploma/GED or equivalent experience Current enrollment in 2 or 4-year post-secondary educational program pursing a degree in a field of study related to the area where the internship is being performed Preferred: Previous guest service experience Skills Required: Accurate and detail-oriented Highly organized and ability to adapt quickly to changing priorities Excellent verbal and interpersonal communication skills Excellent problem solving skills Abilities Required: Ability to work fast and efficiently Ability to follow established dress code policies and practice good personal hygiene Ability to interact with guests, coworkers and management in a professional and courteous manner Ability to manage projects in a timely and efficient manner Ability to independently complete multiple tasks in a professional manner Ability to serve both internal and external customers REQUIRED TRAINING Treasure Island guest service training Any position-related training as determined by division director PHYSICAL DEMANDS Must be able to walk and / or stand for long periods throughout the day Must have a good sense of balance, and be able to bend, kneel and stoop Must have the ability to independently lift up to 25 pounds on a frequent basis Must be able to perform repetitive hand and wrist motions Must have good eye hand coordination WORKING ENVIRONMENT Work may be performed throughout the property (indoors and outdoors) including flashing lights, frequent loud noises and cigarette smoke Must be willing to work a flexible schedule including all shifts, weekends and holidays Occasionally must deal with angry or hostile individuals High volume direct public contact

**Who Are We?** Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. **Job Category** Data Science **Compensation Overview** The hourly salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual hourly rate for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. **Salary Range** $35.00 - $45.00 **Target Openings** 30 **What Is the Opportunity?** The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization. As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques. You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement. With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics. Applications for this posting will be reviewed on a rolling basis beginning in early November. We encourage you to apply as soon as possible. **What Will You Do?** + The internship offers a training curriculum focused on data science and business acumen. Other program components include formal mentoring, networking, and career guidance. + DSLDP Intern duties will vary based on the specific assignment, within one of our research groups, including: + Bond & Specialty Insurance + Business Insurance Research & Development + Claim Business Intelligence & Analytics + Personal Insurance Research & Development + Other departments, including Artificial Intelligence and Emerging Technologies + Work includes: + Providing recommendations on projects that deal with data science related concepts + Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business + Identifying, integrating and structuring complex data flows + Identifying new opportunities for analytic solutions + Validate, manipulate and perform data analysis tasks + Provide qualitative and quantitative data support to ensure accuracy of metrics + Perform other duties as assigned. **What Will Our Ideal Candidate Have?** + Pursuing a Master's or PhD level degree in Statistics, Mathematics, or Data Science. + Applied statistical knowledge and experience solving "real-world" problems. + Demonstrated ability to communicate technical concepts to a non-technical audience. + Experience with a programming language (Python, R, SAS, etc). + Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results. + Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making. + Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands. + Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients. + Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility. + Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude. + Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position. + Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives. + Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results. + Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result. + Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn. **What is a Must Have?** + Pursuing a Master's or PhD level degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field. **Employment Practices** Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. We are committed to providing accommodation to persons with disabilities. If you require accommodation during the recruitment or interview process we will work with you to accommodate your needs. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email (*******************) so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit ******************************************************** .

Graco manufactures and markets premium equipment to move, measure, control, dispense and spray a wide variety of fluid and powder materials. What does that mean? Well, we pump peanut butter into your jar, and the oil in your car. We glue the soles of your shoes, the glass in your windows and the screen on your phone. We spray the finish on your vehicle, coatings on your pills, the paint on your house and texture on your walls. Graco is part of your daily life. The Graco Intern Program offers more than just work experience-it's a chance to make an impact. As an intern, you'll take on projects that matter to the business, contribute to initiatives that drive progress, and develop skills that prepare you for what's ahead. Throughout the program, you'll expand your industry knowledge, collaborate with professionals who are passionate about doing things the right way, and experience a culture that thrives on new ideas and continual growth. You'll also take part in events designed to support both your learning and personal development. The program concludes with a final presentation where you'll showcase your achievements and the difference you've made. The Data Science Intern will work with large datasets from our production operations, supply chain, and product performance, contributing to data-driven decisions that enhance operational efficiency, product quality, and customer satisfaction. As a member of the Data Analytics team, the individual in this position will gain valuable exposure to statistical modeling, machine learning, and advanced analytics, while collaborating with experienced data analysts, engineers, and manufacturing professionals. What You Will Do at Graco Collect, clean, and preprocess structured and unstructured data from sources such as manufacturing equipment, IoT sensors, and supply chain systems to enable actionable insights. Perform exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for optimizing the movement and handling of critical materials in Graco's systems. Assist in developing and implementing machine learning models for use cases such as predictive maintenance, process optimization, demand forecasting, and quality assurance in material movement. Create insightful data visualizations and dashboards to effectively communicate findings to cross-functional teams, including engineering, operations, and leadership. Collaborate with senior team members to analyze data related to Graco's innovative material handling systems and contribute fresh ideas for solving manufacturing and operational challenges. Document methodologies, workflows, and results to ensure reproducibility and scalability across Graco's global operations. Participate in team meetings, present findings, and contribute to discussions around improving manufacturing processes and enhancing business outcomes. What You Will Bring to Graco Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. Strong programming skills in Python or R; familiarity with libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch is a plus. Experience with SQL and working with relational databases. Understanding of statistical methods, machine learning concepts, and data visualization techniques. Strong problem-solving, analytical thinking, teamwork and communication skills. Ability to work both independently and collaboratively in a fast-paced manufacturing environment. Accelerators Experience with data visualization tools (e.g., Tableau, Power BI) to create insights for engineering, manufacturing, and operational teams. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or manufacturing-specific platforms like MES (Manufacturing Execution Systems). Familiarity with data and analytics cloud platforms (e.g., Snowflake, AWS) Familiarity with Gen AI capabilities. Knowledge of IoT frameworks and working with time-series data from sensors embedded in Graco's material movement systems. Previous internship or academic project experience working with data in a manufacturing or industrial setting. Interest or experience in material handling, industrial machinery, or manufacturing processes relevant to Graco's mission of moving materials that matter. What You'll Gain Hands-on experience with large-scale data analysis and machine learning projects tailored to Graco's advanced manufacturing processes and material handling innovations. Opportunities to contribute to impactful projects that enhance operational efficiency, reduce equipment downtime, and improve product quality. Exposure to cutting-edge technologies, including IoT data, predictive maintenance, and process automation, in a global manufacturing environment. A collaborative and supportive environment to grow your technical and professional skills while contributing to Graco's mission of moving materials that matter. Applicants must be legally authorized to work in the United States. This role is not eligible for immigration sponsorship now or in the future (e.g., H-1B, TN, F-1 OPT). At Graco, you truly make a difference. Your unique talents contribute to our organizational growth and future. Not only do you make a difference, but Graco's culture empowers employees to create their own career path. Whether you choose to advance within your current department or explore new opportunities in different divisions, you have the ability to build your future. Our managers are here to provide support and guidance as you continue to grow within your career. Graco has excellent opportunities available to individuals who want to be part of a fast-moving, growing company that is committed to quality, innovation and solving fluid handling problems for our customers. Graco is proud to be named a Best Place to Work by Fortune Magazine in 2016, 2018, 2019, 2021 & 2022. Graco offers attractive compensation, benefits and career development opportunities. Graco's comprehensive benefits include medical, dental, stock purchase plan, 401(k), tuition reimbursement and more. Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit ********************* The base pay range for this position is listed below, exclusive of fringe benefits or other compensation. If you are hired, your final base hourly rate will be determined based on factors such as geographic location, skills, competencies, education, and/or experience. In addition to those factors, we will also consider internal equity of our current employees. Please keep in mind that the range provided is the full base salary range for the role. Hiring at or near the maximum of the range would not be typical to allow for future and continued salary growth. $21.00 - $28.00

Job DescriptionDescription: Mur-chol- uh -jee | The science of company merch; the skill of creating and delivering custom-branded apparel and corporate gifts around the world. Merchology is a leading eCommerce retailer in B2B sales of co-branded merchandise including apparel, headwear, drinkware, gifts, and accessories. We are family-owned, people-powered, and we are adding to our #MerchFam at our facility in Plymouth. Come see why we are a three-time Star Tribune Top Workplaces award winner! Merchology is in pursuit of a Data Reporting Analyst Intern to join our Development Operations team. This individual will play a key role in transforming raw data into meaningful insights. They will support the design, development, and maintenance of dashboards, reports, and analytics using tools such as Power BI, Tableau, and Excel and will collaborate closely with business stakeholders and data engineers. PRIMARY RESPONSIBILITIES A successful Data Reporting Analyst Intern will: Data Management & Reporting Develop, maintain, and automate dashboards and reports using Power BI, Tableau, or similar visualization tools Support the collection, cleaning, and transformation of data from multiple sources, including Snowflake, SQL databases, and Excel Assist with the creation and maintenance of data models and data pipelines Ensure data accuracy, consistency, and integrity across reports and systems Perform ad-hoc analysis to support business decisions and identify actionable insights Analytics & Insights Analyze trends and performance metrics across departments to support strategic initiatives Help define and track key performance indicators (KPIs) to measure business performance Translate data findings into clear visualizations, summaries, and recommendations for stakeholders Collaborate with teams to understand reporting needs and propose analytical solutions Data Governance & Quality Support data quality assurance by validating datasets, reports, and visualizations Document data sources, metrics definitions, and reporting processes Assist in improving data governance and standardization practices across the organization Application & Platform Administration Administer internal collaboration platforms including Microsoft 365 and SharePoint Online Assist in software license tracking, renewals, and audits Collaboration & Communication Work with cross-functional teams (Finance, Operations, Sales, Marketing) to gather reporting requirements Present findings in clear, concise formats to technical and non-technical audiences Maintain documentation of report logic, queries, and visualizations for knowledge sharing Requirements: REQUIRED QUALIFICATIONS Currently pursuing or recently completed a Bachelor's Degree or Higher in Data Analytics, Information Systems, Computer Science, or related field Familiarity with data visualization tools (e.g., Power BI, Tableau) Proficiency in Excel, including advanced formulas, pivot tables, and charts Basic SQL knowledge for querying relational databases Strong analytical mindset with attention to detail and data accuracy PREFERRED QUALIFICATIONS Experience with cloud data platforms such as Snowflake or Azure Synapse Familiarity with ETL processes and data modeling concepts Knowledge of Python or R for data analysis or automation Ability to manage multiple projects and prioritize tasks effectively Clear communicator who can turn data into meaningful business insights WHAT WE OFFER In addition to an outstanding creative culture, authentically nice people, and interesting work, we have: The pay range for this position will be between $20-$30 an hour Generous PTO (18 days per year)* 8 company-paid holidays* Hybrid work schedule for select departments 40 hours of paid volunteer time* 401(k) with match* Medical and dental insurance options, FSA, and HSA* Company-paid life insurance and short-term disability* Company-sponsored social events Premium brand partner discounts Employee-led Committees in Social Events, Wellness, DE&I and Giveback * denotes full-time permanent employee benefits LOCATION 3000 Niagara Lane North, Plymouth, MN 55447 Remote hybrid role: Three days onsite and two days remote following training INDUSTRY Business to Business eCommerce and Apparel Merchology is an equal opportunity employer and certified Disability-owned Business Enterprise. We celebrate diversity and are committed to a workplace where personal and professional growth are achieved through inclusion. If you require disability resources to submit your application, please email ******************* for assistance.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Business Administration, Management Information Systems, Business Analytics, or a related field. Basic understanding of business process analysis, modeling, and improvement techniques. Ability to assist in the documentation, analysis, and optimization of business processes. Strong analytical skills, with the capability to interpret business data and workflows to identify inefficiencies and recommend improvements. Good organizational and project management skills, capable of managing multiple tasks and contributing to collaborative projects. Effective communication and interpersonal skills, essential for working with cross-functional teams and documenting process requirements. Familiarity with ERP systems or other business management software. Skills in data analysis and the use of analytics tools to support business decisions. Proficiency with Microsoft Office, particularly Excel, and familiarity with process mapping tools such as Visio or Lucidchart. Eagerness to learn about operational efficiencies and the application of technology in business processes.