Top Entry Level Analytics Jobs

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.

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.

Collaborate with product managers, analysts, data scientists, IT, technical teams, and fulfillment teams to develop analytics solutions. Analyze fulfillment processes and data, consult on data pipelines, build data models and dashboards, and provide reporting to help fulfillment and brand operations teams improve performance and decision-making.

Designs and optimizes data-driven audience targeting and measurement for marketing channels. Builds reusable audience datasets, measurement views, quality controls, alerts, and anomaly detection to improve campaign execution and reduce operational risk. Partners with marketing, sales, product, and technology teams to define requirements, implement governed artificial intelligence capabilities, quantify automation impact, and communicate actionable insights. Mentors junior analysts and supports scalable, controlled marketing transformation.

As an Analyst, you will conduct analyses for Hive's offerings, support project delivery, collaborate with teams, and communicate project outcomes.

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

Lead account analytics for media campaigns by developing analyses, insights, recommendations, dashboards, hypotheses, and measurement tests. Partner with media, strategy, creative, and client teams to evaluate campaign, audience, attribution, and business performance. Teach analysts best practices and oversee one to two analysts or senior analysts. Provide consulting support, reporting implementation, client training, and data visualization using SQL, Python, Tableau, and advanced Excel.

The 24-month Analytics Leadership Development Program Associate role includes three eight-month rotations across finance, risk management, interactive marketing, technology, and data management. Responsibilities may include participating on solution development teams, improving business processes, troubleshooting issues, and performing data analysis and reporting. Participants receive on-the-job training, leadership exposure, and networking opportunities, with potential placement in a permanent role after completing the program.

A 24-month Analytics Leadership Development Program involving three eight-month rotations across Finance, Risk Management, Interactive Marketing, Technology, and Data Management. Responsibilities may include project-based solution development, process enhancements, troubleshooting, data analysis, and reporting. Participants receive on-the-job training, leadership exposure, and opportunities to transition into permanent roles.

Eight-week summer internship supporting client-facing analytics projects. Responsibilities include analyzing large, complex datasets, developing and validating statistical models, and presenting and documenting findings in client-ready formats. The role requires collaboration with Oliver Wyman teams and clients, strong communication, independent execution, and practical problem-solving. The position is based in Raleigh, North Carolina, with some potential travel to client sites.

Analyzes and interprets HR workforce data to identify trends, improve data quality, and support strategic decisions. Develops data collection systems, maintains databases, cleans and validates datasets, runs SQL queries, creates reports, and presents findings. Partners with stakeholders on data discrepancies, process improvements, project schedules, and documentation while supporting the full data lifecycle from acquisition through visualization.

Analyze multiple data sources, translate complex findings into actionable business insights, and communicate recommendations to cross-functional teams. The role supports Brand Management, Finance, Sales, and other partners by delivering real-time insights, influencing business decisions, solving ad hoc problems, and developing scalable analytics solutions that improve business results.

Uses consumer, shopper, market, and retail analytics alongside qualitative research to uncover insights, inform business strategy, evaluate advertising and promotional investments, and influence product, pricing, media, retail, and go-to-market decisions. Partners cross-functionally with Brand Management, Finance, Sales, R&D, and other teams to communicate findings, identify growth opportunities, and drive action.

Manage analytics consulting projects for Life Sciences clients, delivering marketing, commercial, Real World Data, market mix modeling, and predictive modeling solutions. Responsibilities include developing analysis plans, analyzing healthcare datasets, leading client discussions, presenting recommendations, ensuring quality and timely delivery, and managing team engagement. The role requires strong client-facing consulting skills, knowledge of biopharma commercial analytics, patient analytics, payer and market access concepts, and clear written and verbal communication.

Analyze mobile application data using Adobe Mobile Analytics, including iOS, Android, and hybrid app analytics. Utilize Sitecatalyst and Omniture for insights.

Monitor KPIs and business health across customers, segments, and systems; identify anomalies and investigate root causes across data, operations, and product changes. Build dashboards, alerts, and monitoring systems, collaborate with Engineering, Operations, and Product on issue triage, and create documentation and playbooks that improve response times and data quality practices.

Participate in a multi-week training then rotate across analytics teams (quantitative modeling, model risk, market risk, fraud, commercial analytics, client/employee experience, credit portfolio). Perform data analysis, develop predictive models, produce reports and visualizations, communicate insights to senior stakeholders, conduct market research, and support financial and regulatory reporting.

Entry-level data analytics role in PMGs Graduate Leadership Program. Participate in an 8-week immersive training, use PMGs Alli platform and SQL to analyze marketing datasets, build visualizations, leverage generative AI tools, and deliver actionable insights for client campaigns while rotating across cross-functional teams.

Analyze data from various company systems; perform correlation and regression analyses; apply strong statistical methods using R, Tableau, and Excel; interpret web analytics to inform insights.

The Marketing Data Analyst will analyze healthcare marketing data, linking tactics to patient behavior, and produce actionable insights for clients using advanced analytical techniques and tools.

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

Analyze consumer-generated social media data, develop reports, and collaborate with data partners while utilizing web analytics and social listening platforms.

The role involves teaching various data analytics courses, engaging in scholarly research, and providing service to the university and community, all while integrating Christian principles.