Top Senior Analysis Reporting Jobs in Baltimore, MD

The Revenue Strategy & Planning Manager will develop actionable growth plans by analyzing data, building reports, and collaborating with Sales leaders to enhance B2B revenue strategies.

Lead fraud detection efforts by analyzing data, developing detection methods, collaborating with teams, optimizing fraud rules, and monitoring performance metrics.

As a Senior Data Engineer, you will design data pipelines, manage databases, optimize data workflows, ensure data integrity, and collaborate with cross-functional teams on data-driven solutions.

The Senior Analytics and Insights Manager partners with GTM teams to drive data-driven decisions, providing insights, KPIs, and fostering collaboration for improved performance and strategy execution.

The Senior Data Analyst will provide high-quality analytics and insights for business strategies, automate reporting, and collaborate across teams to transform data into actionable insights.

The Manager, Credit Analytics is responsible for designing and implementing credit risk strategies, extracting data, conducting analysis, and communicating insights to drive profitable lending solutions.

The Senior Pricing Analyst will develop innovative fee arrangements, drive awareness of pricing impact, manage complex matters and RFPs, and support revenue analysis and pricing decisions within a law firm context.

The Senior Investigator Pricing Analyst develops and analyzes pricing strategies for clinical trial investigators, collaborating with teams to assess costs, provide financial insights, and ensure compliance with regulations.

Lead clinical data review for studies, ensuring the interpretation of efficacy and safety data, and collaborating with cross-functional teams.

Perform code migration from CDSW to Databricks, build analytics pipelines, and develop interactive Tableau/Qlik/Power BI dashboards. Clean and analyze maintenance and supply data, apply statistical and machine learning models, and deliver data-driven insights to PMA and AA&I stakeholders while supporting data architecture and automation.

Migrate HiveQL and Python workflows from CDSW to Databricks, design and maintain ETL pipelines and databases, optimize data workflows on cloud platforms (AWS/Databricks), implement CI/CD, and collaborate with analytics teams to ensure scalable, high-quality data delivery supporting DoD stakeholders.

Design, develop, and maintain SSRS and Sigma reports and dashboards; write and optimize SQL; collaborate with data warehouse team; document BI tools; unit test and troubleshoot reports; manage projects independently.