Data Engineering and Analytics Intern

If you are a current employee who is interested in applying to this position, please navigate to the internal Careers site to apply. About MarketStar : In everything we do, we believe in creating growth, for our clients, our employees, and our community. For the past 35+ years, we have been generating revenue for the most innovative tech companies across the globe through our outsourced B2B demand, sales, customer success, and revenue operations solutions. We are passionate about cultivating career advancements for our people, and support them through mentorship, leadership, and career-development programs. We provide service and support to our communities through the MarketStar Foundation. Our exceptional team is the cornerstone of MarketStar's accomplishments. We are proud of our award-winning workplace culture and to be named a top employer in our industry. These achievements are a testament to our six core values, embraced by our 3,000+ employees worldwide. From our headquarters in Utah, USA, to our global offices in India, Ireland, Bulgaria, Mexico, the Philippines, and Australia, we all work together to drive innovation and success. We are excited to have you apply to join our MarketStar team and can’t wait to discuss how we can help you find growth! About the Data Engineering & Analytics Intern: MarketStar is looking for a part-time Data Engineering & Analytics Intern to join our team to work directly with our data engineering and data analytics leads to support internal company analysis projects that help MarketStar leaders make better decisions. The work spans the full path from raw data to insight. You will help pull and combine data from a variety of internal systems, including Workday, our Voice-of-the-Customer platforms, and other operational and financial tools; clean and reconcile that data so it can be trusted; and then dig into the combined set to answer real business questions. This is a remote opportunity with flexible hours and days, designed to fit around a class schedule or other commitments. We are looking for aptitude and curiosity more than experience. Where there are gaps, we will teach you. Location: US - Remote What Will You Do? Partner with our data engineering and data analytics leads on internal company analysis projects, from framing the question through delivering the finished analysis. Pull data from a variety of internal systems, including Workday, Voice-of-the-Customer platforms, and other operational tools, and bring it together into a single usable set. Perform data clean-up: resolve duplicates and missing values, standardize fields, reconcile records that do not match across systems, and document the decisions made along the way. Assist with data engineering tasks such as building and maintaining straightforward workflows, imports, and integrations that keep the combined data current. Conduct in-depth analysis of the combined data to identify trends, patterns, and drivers that leadership can act on. Build and maintain reports and dashboards, primarily in Power BI and Excel, that make findings easy for non-technical audiences to understand. Document data models, sources, and metadata in a centralized repository so the work can be reused by other teams. Summarize results in short written recaps and informal presentations to project stakeholders. Understand and follow all security, privacy, and confidentiality requirements when working with employee, customer, and client data. Actively engage with the team while working in a remote environment by asking questions early, sharing progress, and contributing in team meetings. Other applicable duties as assigned. What's in It for You? Hands-on experience with real internal company analysis projects rather than busywork . Direct mentorship from our data engineering and data analytics leads. Constant learning and an entrepreneurial growth mindset. A fully remote role with flexible hours and days that can work around a class schedule. Customized training programs that are catered to personal and professional development. An opportunity to be associated with the world's leading brands as clients. To be a part of an organization with more than 60% of homegrown leaders. What Will You Need to Succeed? Currently pursuing, or recently completed, a degree in Computer Science, Data Analytics, Information Systems, Statistics, Mathematics, Engineering, Economics, or a similar field. Some exposure to querying data with SQL, or a willingness to learn it quickly; comfort with joins and aggregations is a plus. Familiarity with Python, or a similar language for working with data, is preferred but not required . Working knowledge of Microsoft Excel, including formulas, PivotTables, and charts. Some experience with a data visualization tool such as Power BI, Tableau, or Looker, or an interest in learning one. Exposure to basic data cleaning and transformation concepts, APIs, or cloud data tools such as Azure is a plus. An interest in statistics and analytical methods, with a willingness to apply them under guidance. Solid written and verbal communication skills, with an ability to explain technical work in plain language. Curiosity, attention to detail, and a willingness to ask questions and learn new tools and technologies. Ability to work independently in a remote setting, manage your own schedule, and stay connected with a distributed team. Compensation $ 17.00 USD hourly MarketStar is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state, and local laws that prohibit employment discrimination. Reasonable accommodations are available on request for candidates taking part in all aspects of the selection process. If you are an individual who identifies as someone with a disability and require reasonable accommodation(s) to complete any part of the job application process, please contact us at people.success@marketstar.com for assistance .