Top Data & Analytics Jobs in Baltimore, MD

Lead and build PushPress's data and AI foundation: define data strategy, architect pipelines and warehousing, ensure data quality and governance, enable AI product features, deliver analytics and reporting, and hire and grow a high-performing data team.

Execute financial models and pharmacy claims analyses to support underwriting for sales bids, present results to stakeholders, recommend pricing adjustments, drive pricing research, improve processes, and run quality control on analyses.

This role involves building and maintaining data pipelines, developing data models, and ensuring data discoverability while enabling scalable analytics on blockchain data.

Analyze on-chain trading activity and market/DEX/CEX data at scale, build models for portfolio/PnL and capital efficiency, design AI-driven research pipelines, produce insights to inform product and capital strategy, and collaborate with product and engineering teams.

Partner with Product Insights to lead end-to-end quantitative analyses that shape product decisions. Translate ambiguous questions into rigorous, decision-focused analyses (funnels, cohorts, retention, experiments) and deliver actionable recommendations that influence roadmap and strategy.

Hands-on GA4 analyst contractor managing analytics across multiple clients: diagnose data quality and bot traffic, implement GTM tracking, build Looker Studio dashboards, collaborate with SEO/Paid/Strategy teams, and contribute to internal tooling and measurement improvements.

Build a single source of truth for GTM performance by stitching CRM, website, and marketing data; create account-level engagement scoring, define MQL thresholds, implement ABM tooling, build dashboards and attribution reporting, and integrate AI models and automation to drive sales and marketing decisions.

The Senior Product Analyst will analyze complex data sets to guide product strategies, support game teams, and drive game performance insights through collaboration and robust reporting on game features.

Design and execute advanced analytics and statistical models to support revenue cycle surveillance and risk monitoring. Extract, validate, reconcile, and integrate MHS GENESIS and enterprise repository data. Develop and optimize SQL/Vertica queries, CCL/Discern extracts, dashboards (Power BI, Tableau, SAP BO), and analytic deliverables. Support backend diagnostics, incident/change management, remediation analysis, and stakeholder briefings while ensuring HIPAA and federal data governance compliance.

As an Operations Analyst, you'll develop scalable reporting, model supply and demand, and engage with stakeholders to inform business strategies across markets.