Top Senior Data & Analytics Jobs in Baltimore, MD

The IT Compliance Manager oversees compliance activities, ensuring adherence to regulations like SOX and GDPR, conducting audits, and developing compliance policies.

The Epic Integration Analyst focuses on implementing and optimizing EMR integrations, particularly with Epic Aura, ensuring data exchange quality and interoperability with external healthcare systems.

The Senior Strategy & Planning Analyst will enhance planning models, analyze GTM productivity, and support strategic decision-making through data-driven insights and cross-functional collaboration.

As a Staff Data Analyst, you will transform data insights into strategies for senior leadership, create high-quality analytics and reports, and mentor junior analysts. You will manage the migration from Tableau to a new BI tool and communicate complex data themes effectively.

The Senior Yield Manager analyzes performance data to drive monetization strategies, diagnose issues, and collaborate with cross-functional teams for revenue growth.

Drive marketing performance measurement and attribution by building dashboards, standardizing campaign tracking across HubSpot and Salesforce, running funnel and cohort analyses, ensuring data integrity, and delivering executive reporting to connect marketing activity to pipeline and revenue.

The Data and Systems Architect will design and manage cloud-based data platforms, focusing on performance and cost efficiency while ensuring scalable architecture.

The Director of Biostatistics leads statistical strategy and analysis for clinical trials in oncology, collaborating with clinical teams and regulatory bodies.

The Sector Lead for Financial Services will oversee channel research projects, ensuring quality and relevance while guiding a team of analysts. Responsibilities include developing questionnaires, managing research workflows, and expanding coverage across financial services sectors.

The Big Data Lead will manage data projects utilizing technologies like Amazon Redshift, Azure Data Factory, and Apache Spark to optimize data processes.