Top Senior Data & Analytics Jobs in Baltimore, MD

The Target Analyst Reporter 3 prepares intelligence reports using passive and active data collection methods, collaborates with analysts, and maintains quality control on reports for government clients.

The Sr. EDI Analyst will analyze and test Healthcare EDI applications, create EDI X12 files, and manage business requirements. They will also need strong problem-solving skills and experience with SQL databases.

The Senior Business Analyst will gather requirements, perform data analysis, conduct data validation testing, and support data migration projects.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Leads marketing measurement strategy through geo holdout and incrementality testing, forecasting, experimentation, and statistical analysis. Partners with Marketing, agencies, and Data Science to guide channel budgets and campaign decisions. Queries large-scale data using SQL and Python in Databricks and BigQuery, develops measurement models, automates analyses with AI tools, and mentors analysts while providing technical leadership.

Leads enterprise data strategy, capability roadmaps, and execution across business and technology teams. Partners with senior stakeholders to translate business needs into data-driven capabilities, define priorities, manage milestones and investments, and ensure alignment with business objectives. Advises on data models, governance, standards, and ecosystem development while facilitating workshops and coordinating distributed teams. Requires extensive data management experience, leadership, executive communication, and familiarity with SQL, BI tools, Salesforce, LiveRamp, and Google Analytics.

Build and maintain scalable ELT pipelines, dbt models, semantic layers, and governed product analytics assets. Partner with Data Engineering, Product Engineering, Data Governance, analysts, and product managers to define trusted metrics, monitor data quality, document taxonomies, and support self-service analytics. Translate product usage telemetry into certified metrics for expansion and upsell analysis, while communicating technical concepts to technical and non-technical stakeholders and driving engineering best practices.

Leads business intelligence and database analysis to generate revenue insights, solve complex business problems, optimize digital performance, support sales and marketing initiatives, and develop predictive data products. The role requires advanced SQL analysis across large data warehouses, Tableau and web analytics reporting, data validation, executive presentations, and leadership of junior staff.

Build, validate, deploy, and maintain forecasting, optimization, simulation, predictive, and cost-assessment models for digital assessment operations. Develop analytics pipelines, dashboards, and decision-support tools; improve operational efficiency, capacity planning, customer experience, and cost management. Partner with Product, Program, Operations, Technology, and Finance teams to translate analysis into decisions, shape the analytics roadmap, and identify new modeling opportunities.

Designs, builds, and optimizes Microsoft Fabric and Azure data platforms, including ingestion pipelines, Spark notebooks, medallion lakehouse architectures, ETL/ELT workflows, semantic models, and Direct Lake solutions. The consultant supports CI/CD, governance, lineage, security, monitoring, and operational best practices while collaborating with client engineers through paired development and knowledge sharing. This remote consulting role supports future client engagements and requires strong communication, SQL, cloud data engineering, and production Microsoft Fabric experience.