Top Entry Level Data & Analytics Jobs in Oklahoma City, OK

Collect, clean, validate, and analyze data to identify trends and business opportunities. Create reports and dashboards (Excel, SQL, Power BI/Tableau), monitor KPIs, document data sources/processes, and present insights to stakeholders while collaborating across teams.

Support Sales and Key Account teams by owning trade performance reporting, building dashboards, analysing promotional ROI, preparing category presentations for range reviews, and collaborating with Marketing, Supply Chain, and Finance to drive commercial decisions.

Build and maintain data marts, materialized views, and ETL/ELT pipelines in an AWS-hosted data lake. Design and optimize data workflows, monitor infrastructure health and data quality, support PostgreSQL migrations, collaborate with cross-functional teams, and ensure compliance with federal data security (FISMA/NIST 800-53).

The Reports Analyst role involves gathering, cleaning, and analyzing data, while training staff and providing insights to support business strategies.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

Support consulting projects with business and data analysis, prepare materials and reports, assist client communications and proprietary tools, research industry trends, and help with RFPs while learning multiple workstreams under project guidance.

Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.

Analyze datasets to generate reports and visualizations that inform business decisions. Produce regular reporting, create data visualizations, and work cross-functionally to support data-driven strategies with attention to accuracy.

Remote entry-level Big Data Engineer role building data acquisition and munging pipelines. Requires strong Python3 (NumPy, Pandas), advanced SQL, scalable algorithm and data-structure implementation on distributed clusters, converting code to functional paradigms, and the ability to learn PySpark or Kafka quickly. Product-development, startup experience and real-world pipeline projects preferred.

Analyze ad performance metrics (revenue, CPM, fill rates), produce regular reports, support yield and ad ops to optimize inventory across direct and programmatic channels, perform basic forecasting and scenario analysis, collaborate with cross-functional teams, and document insights and testing frameworks to improve monetization.