Data science internship jobs in Burnsville, MN

We are seeking a Data Scientist to deliver predictive analytics and actionable insights that enhance financial forecasting and supply chain performance. This role will partner with business leaders and analysts to design models that inform strategic decisions. You will work primarily within Microsoft Fabric, leveraging Delta Lake/OneLake and Medallion Architecture (Bronze-Silver-Gold) to build scalable solutions and lay the groundwork for future AI-driven capabilities. This is a full-time, direct hire role which will be onsite in Mendota Heights, MN. Local candidates only. Target salary is between $120,000-140,000. Candidates must be eligible to work in the United States without sponsorship both now and in the future. No C2C or third parties. Key Responsibilities Develop and deploy machine learning models for cost modeling, sales forecasting, and long-term work order projections. Analyze large, complex datasets to uncover trends, anomalies, and opportunities for operational improvement. Collaborate with finance, supply chain, and business teams to translate challenges into data-driven solutions. Work with engineering teams to create robust pipelines for data ingestion, transformation, and modeling using cloud-native tools. Utilize Azure services (Data Lake, Synapse, ML Studio) to operationalize models and manage workflows. Present insights through clear visualizations and executive-level presentations. Contribute to governance standards, audit trails, and model documentation. Qualifications Education & Certifications Bachelor's degree required; Master's in Computer Science, IT, or related field preferred. Cloud certifications (Azure or similar) are a plus. Experience & Skills 5+ years as a Data Scientist or similar role. Hands-on experience with Microsoft Fabric, Azure Synapse, and related cloud technologies. Proficiency in Python, R, SQL, and visualization tools (Power BI, Tableau). Strong background in financial modeling, cost allocation, and supply chain analytics. Familiarity with Oracle and Salesforce UI navigation is helpful. Excellent business acumen and ability to communicate complex concepts to senior leadership. Strong problem-solving skills and ability to design scalable solutions. Preferred Experience with Azure Machine Learning. Knowledge of Jitterbit is a plus. All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

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 *********************************************************

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.

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) .

We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level. As a Data Scientist Associate, you will drive changes for the Workforce business team. Your role impacts our labor strategy and adds value through innovative data capabilities and insights to optimize our labor planning. We seek candidates with experience to solve problems in forecasting, optimization and operations. A strong candidate will have a background in a diverse range of data science and optimization research techniques and a strong understanding of its application in the retail industry What you'll do * Collect, clean, and preprocess large-scale datasets from BigQuery, Teradata, and other sources to create reliable features. * Develop hypotheses and conduct exploratory data analysis to discover key predictors and drivers of workforce outcomes. * Design, train, validate, and optimize forecasting, scheduling, and labor cost models balancing productivity and fairness metrics. * Conduct rigorous experimentation and causal analysis (A/B testing) to evaluate labor interventions' impact on sales and employee satisfaction. * Build and maintain dashboards and reports tracking labor KPIs and model performance * Partner with MLOps teams to prepare models for deployment, ensure version control, enable experiment logging, and implement performance monitoring and incident response protocols. * Communicate complex model designs, assumptions, and business impact effectively to stakeholders to support data-driven labor planning and decisions. Basic qualifications * Bachelor's degree in a quantitative field (Data Science, Statistics, Computer Science, Engineering, Mathematics, Operations Research, etc.). * 2+ years of relevant professional experience in analytics, data science, or a closely related field (or equivalent experience). * 2+ years of experience using Python and SQL (e.g., BigQuery, Teradata) for data wrangling, analysis, and modeling, including hands-on use of core data science libraries such as NumPy, Pandas, SciPy, scikit-learn, and statsmodels. * 2+ years of experience applying statistics, data analysis, and quantitative modeling to diverse business problems; able to design, validate, and clearly communicate predictive, prescriptive, and descriptive models. * 2+ years of working knowledge of mathematical optimization and operations research; able to formulate and solve decision-making problems (e.g., resource allocation, scheduling, task assignment, inventory, routing) by translating business constraints into mathematical models. * 2+ years of experience with time-series forecasting methods and libraries (e.g., Prophet, statsmodels) and applying them to real business use cases. * 2+ years of experience with Git/GitHub or similar version-control systems for collaborative development, code review, and reproducibility. * 1+ year of experience with cloud ML pipeline orchestration (e.g., Kubeflow on GCP), including CI/CD, artifact and metadata tracking, monitoring execution, and logging model/system metrics. * 1+ years of experience with Bash or other shell scripting for workflow automation and data pipelines. Preferred qualifications * Advanced experience with Python data manipulation and distributed computing libraries such as Polars and Dask. Proficiency with machine learning frameworks beyond the core stack, including XGBoost, LightGBM, CatBoost, PyTorch, and TensorFlow/Keras. * Strong grounding in advanced statistical and time-series techniques, including hypothesis testing, ANOVA, ARIMA/SARIMA, ETS, bootstrapping, and regression diagnostics. * Expertise in mathematical optimization using solvers such as Gurobi, OR-Tools, PuLP, Pyomo, and CPLEX, with strong knowledge of linear programming, mixed-integer programming (MIP), and duality theory. * Deep domain knowledge of retail, workforce, and supply chain operations. * Experience with Google Cloud Platform tools including Vertex AI for managing the end-to-end machine learning lifecycle (data preparation, model training, hyperparameter tuning, deployment, and monitoring); familiar with Vertex AI Workbench, AutoML for automated model building, Vertex AI Pipelines for workflow orchestration, Model Registry for managing models, and integration with BigQuery and Cloud Storage for scalable data engineering and analytics. * Proficiency in Business intelligence tools: Power BI, Looker, Looker Studio. * Backend API development: FastAPI, Flask for prediction and optimization services integrated with operational tools. * Master's degree in a quantitative field (Data Science, Statistics, Computer Science, Engineering, Math, Operations Research, etc). What's in it for you We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life. Our benefits include: * Competitive pay * Generous employee discount * Physical and mental well-being support About us As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here. Best Buy is an equal opportunity employer. Auto Req. ID1011150BR Location Number 900010 Corporate 1 MN Address 7601 Penn Avenue South$80070 - $143208 /yr Pay Range $80070 - $143208 /yr

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.

Internship Description 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.

Ameriprise Financial, Inc. seeks a Director - Data Scientist, in Minneapolis, MN. Key Responsibilities To identify, develop, and implement analytical solutions, while leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, and optimization solutions. Identify/interpret business needs, define high-level business requirements, strategy, technical risks, and scope, and engage with business leaders and analysts to provide analytical thought leadership for business problems. Remote work permitted 2 days per week. #LI_DNI Required Qualifications Master's degree in business analytics, statistics, or a related field, plus 3 years of experience in the following: advanced statistical concepts and techniques with skills in linear algebra; conducting hands-on analytics projects using advanced statistical methods, including generalized regression models, Bayesian methods, Random Forest, gradient boosting, neural networks, machine learning, and clustering; statistical programming (SAS, Python, SQL) and data visualization software in a data-rich environment. Salary Range: $165,800 - $194,600. To apply, please visit joinameriprise.com. Job Req #R25_0000003908. General information on company benefits, and other compensation, including health and retirement, can be found at ******************************************************* About Our Company We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Base Pay Salary The estimated base salary for this role is $165,800 - $194,600 a year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Data Line of Business MARKT Marketing

* Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. * Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. * Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. * Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. * Deploy models using Azure, ensuring scalability and governance with MLOps best practices. * Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. * Collaborate with engineering teams for productionization and monitoring of models. * Drive continuous improvement through metrics-driven insights and iterative refinements Salary Range: $110,000 $140,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

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.

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

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 ******************************************************** .

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! We can recommend jobs specifically for you! Click here to get started. If you're qualified for a position but need additional help with the application because of a disability, please email ************************** (This email will respond to accommodation requests only.)

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: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.

. 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

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.