Top Data & Analytics Jobs in Baltimore, MD

Own and deliver recurring and ad-hoc analytics across Marketing, Finance, and People. Build and validate SQL/dbt analyses in Snowflake, maintain dashboards, define KPIs with Data Engineering, review self-serve outputs, and perform investigative analysis to surface trends and drivers of business performance.

Lead and grow a team building scalable forecasting models and simulators for ads supply, demand, and revenue. Own technical quality, cross-functional partnerships, roadmap, and strategy to drive ad marketplace and product decisions.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.

Actuarial Research Intern will develop predictive models using statistical tools, manipulate data into model-ready formats, coordinate research projects with business partners, and present findings while building communication and project-management skills.

Intern will support data pipeline development, documentation, testing, and process optimization using cloud technologies. Tasks include building and maintaining ingestion/transformation pipelines, automations for performance, participating in code reviews, QA, and presenting findings to stakeholders.

The Data Engineer will develop and optimize data pipelines, manage data architecture, support cross-functional teams, and ensure data security and integrity.

The Pricing Actuary leads complex reinsurance transactions, mentors a team, and develops innovative analytics strategies to enhance client solutions.

As a Senior Data Strategist, lead strategic consultations, interpret performance analytics, design measurement frameworks, and model supporter journeys to enhance donor acquisition and retention for non-profit partners.

The Local SEO Manager will drive organic traffic growth, enhance online visibility, and manage SEO strategies across multiple locations, focusing on both local and organic search performance.

The Data Analyst role involves collecting, analyzing, and interpreting program data to support decisions and reporting, while ensuring data accuracy and security. Responsibilities include developing dashboards, identifying trends, and collaborating with teams.

The Data Analytics Associate will analyze healthcare data, support research projects, and develop insights for clients in the healthcare sector.

The Senior Product Analyst will analyze data to inform product strategy, develop analytics solutions, and communicate insights through visualizations, collaborating with cross-functional teams.