Top Data & Analytics Jobs in Baltimore, MD

Develop and maintain cloud-based, high-performance analytics solutions processing large data volumes using distributed computing. Build data pipelines and perform analytics with Spark, MapReduce, SQL/NoSQL, and Python scientific libraries (Pandas, NumPy, SciPy) in support of mission-driven defense programs.

The Market & Business Intelligence Analyst conducts research on clients and competitors, analyzes data for strategic initiatives, and supports business development efforts.

Lead data analysis and architecture efforts for healthcare insurance projects: gather requirements, design source-to-target mappings and data models, enforce enterprise data standards, support data profiling/conversion, and participate in solution planning and estimations. Mentor/train others and translate business drivers into technical requirements across the SDLC.

Perform systems planning analyses, evaluate and model business and system requirements, analyze and document complex business problems, develop and approve test plans, and coordinate moderate-scope upgrades and rollouts to support leadership decision-making and infrastructure.

Lead design and implementation of a Data Lake/BI solution using Exadata and ODI. Assess requirements, produce design documents, guide development, ensure code quality, and drive architecture/process improvements while collaborating with data and functional teams.

Builds and manages ETL processes and data pipelines in Azure Databricks using PySpark. Integrates data from multiple sources, tunes Spark and SQL for performance, troubleshoots pipeline failures, automates manual processes, and supports reporting and analytics to inform business decisions.

Provide tactical and strategic BI to marketing, sales, and finance by building dashboards, defining KPIs, analyzing performance, alerting and investigating changes, and partnering with data engineering to ensure data quality and reliable tracking.

Lead data engineering for a healthcare scheduling platform rebuild: map legacy multi-TB schema, design target schema, build translation layer (views/materialized views and write mappers), ensure data consistency during parallel systems, plan per-tenant cutover with verification and rollback, tune DB performance, instrument data quality/lineage/audit, and mentor engineers.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Implement, QA, and document tag management and data-layer specs across GTM, GA4, server-side pipelines, Shopify, and native apps. Collaborate with product and engineering to ensure tracking, pixel integrity, attribution, and experimentation event fidelity; support monthly audits, consent enforcement, and maintain centralized solution design documentation.