Top Entry Level Data & Analytics Jobs

Develop and advance the enterprise data platform by gathering business requirements, designing data models and warehouses, and building data visualization solutions. Administer reporting, analytics, and visualization platforms while promoting best practices. Collaborate cross-functionally, apply business and process knowledge, manage multiple projects, communicate strategically, and provide technical leadership in data engineering and business intelligence.

Analyze and resolve pricing control exceptions involving fees, interest, refunds, and servicing activities. Review processes, build automated analytical workflows, develop reporting, and apply anomaly detection and responsible generative AI concepts. Partner with analysts, managers, product, operations, analytics, and technology teams to improve monitoring, documentation, and controls. Communicate findings clearly, manage multiple workstreams, and drive continuous improvement across card pricing operations.

Manages an inclusive-growth research portfolio, including research agendas, partner deliverables, stakeholder relationships, thought leadership, and program learning. Translates complex findings into actionable insights, executive communications, presentations, and knowledge products. Supports external engagements, events, reporting, cross-functional initiatives, and global program strategy while coordinating researchers, policymakers, practitioners, and internal teams.

Lead and grow a data engineering team responsible for allocating cloud costs to products and customers. Own reproducible, versioned metric publication for Finance, platform-team cost contracts, coverage onboarding, identity mapping, and cost-to-revenue joins. Drive roadmap delivery across teams, improve cost accuracy and coverage, reduce key-person risk, and use AI tooling to increase engineering productivity.

Develop Python data pipelines and business data objects for applications. Build and deploy CI/CD pipelines, implement source-to-target mappings, resolve complex technical problems, interpret software design requirements, and perform unit and integration testing. The role also promotes software quality practices, cross-functional collaboration, and continuous improvement. It is onsite five days per week in Chicago or Peoria, Illinois.

Analyze and visualize large customer datasets, build production-grade data models and scalable data products, automate manual analytical workflows, and create AI-assisted, conversational, and self-service analytics experiences. Translate ambiguous stakeholder needs into actionable solutions while collaborating across teams and experimenting with generative AI and modern data technologies.

Implement StrataJazz software for healthcare system customers by translating integration specifications, configuring ETL processes, and using SQL and Excel to solve data problems. Partner with customers and internal technical teams, lead training, communicate project risks, execute mitigation plans, and support operational improvement initiatives. The role involves healthcare financial and clinical data, Agile implementation practices, and up to 10% domestic travel.

This co-op develops analytical solutions for fulfillment performance reporting. Responsibilities include understanding fulfillment processes, consulting on data pipelines, developing data models and dashboards, analyzing trends, and providing insights and recommendations. The role collaborates with product managers, visualization analysts, data scientists, IT, technical teams, and fulfillment operations.

Own the end-to-end pipeline for producing four to six data studies monthly from proprietary checkout, code-testing, and shopper behavior data. Responsibilities include querying BigQuery with SQL, validating statistical methods and denominators, identifying publishable findings, conducting interviews and panels, writing studies and pitch briefs, maintaining canonical statistics, and verifying AI-generated research. The role combines computational journalism, primary reporting, editorial judgment, and data-quality oversight to produce work cited by journalists and AI answer engines.

Own digital media reporting and measurement by building Power BI dashboards, defining KPIs, identifying trends, designing experiments, supporting data clean room and incrementality initiatives, and writing SQL queries for cross-platform insights. Collaborate with engineering on data pipelines and tracking frameworks, then communicate actionable recommendations to technical and non-technical stakeholders.