Top Analysis Reporting Jobs in Baltimore, MD

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.

The Business Intelligence Senior Consultant develops BI strategies, implements solutions using Ellucian tools, and supports higher education clients with technical and functional consulting.

The Director of Data Analytics & Business Intelligence leads analytics functions, building models and dashboards while guiding a team. Responsibilities include analytics infrastructure management, cross-functional collaboration, and driving AI/ML initiatives.

Lead legacy-to-SaaS data migrations: design and execute ETL, extract/transform/load data, validate integrity, map business workflows to target models, engage clients, document processes, support governance, and train stakeholders to ensure accurate, secure conversions.

As a Senior Data Engineer, you'll define data ontology, collaborate with teams, design data pipelines, and optimize data infrastructures to support analytics for Yahoo Mail.

Freelance Senior Data Engineer to implement and support Adobe Experience Cloud solutions (CJA, Launch, Journey Optimizer, Adobe Analytics). Design and maintain tracking, data pipelines, and data orchestration; work with CDPs for ingestion and activation; validate data quality; troubleshoot implementations; document data flows; collaborate with engineering, analytics, and business teams. Short-term remote contract (US only, excluding NM and HI).

Design, build, and maintain analytical datasets and data models on Databricks. Write and optimize SQL and Python notebooks, develop BI dashboards, validate data quality, translate business requirements into reporting, and document data logic while collaborating with engineers, data scientists, and stakeholders.

Design, implement, and administer enterprise Databricks platforms, including Unity Catalog, compute, security, governance, and operational standards. Collaborate with cloud, security, identity, and delivery teams to build scalable, governed, production-ready data and AI solutions, provide architecture guidance, troubleshooting, and documentation for clients.

Design, build, and maintain scalable batch and streaming data pipelines on Databricks using PySpark, Delta Lake, Unity Catalog, and cloud platforms. Troubleshoot performance and quality issues, implement data governance, collaborate with cross-functional teams, and document pipelines and data models to deliver reliable, production-ready data products.

Reverse-engineer Procore data model and REST APIs; map Bronze→Silver→Gold datasets with transformation rules and data-quality defects; define crosswalk keys (global Project ID) reconciling Procore, P6, and Yardi; define data-quality gates and confidence scoring; support pipeline development and automated testing; validate Gold datasets against sources and document a reusable template.

Lead implementation, enhancement, and QA of digital analytics and tag management solutions (primarily Adobe). Design data layers, implement marketing pixels, configure tracking, validate analytics, support Adobe Target integrations, and consult with stakeholders on requirements and strategy.

Lead design and governance of a lakehouse medallion architecture on OneLake/Microsoft Fabric. Evaluate Fabric vs. Databricks, define standards, design master-data backbone and lightweight MDM, data-quality/gating and lineage, codify Bronze→Gold templates for reuse, enable cataloging (Purview) and Power BI access, and define the DataOps operating model and handover to the client.

Lead data science and analytics initiatives for healthcare, overseeing model development, data integrity, and large-scale automated analyses. Provide actionable insights, mentor teams, collaborate with cross-functional partners, evaluate payment integrity campaigns, and present findings to stakeholders to optimize revenue, quality, consumer experience, and healthcare costs.

Support client market research projects end-to-end: design questionnaires and samples, run analyses and charts, coordinate fielding, produce final reports, assist client communications, mentor operations team members, and use AI-enabled tools to improve workflow and deliverables.