Top Remote Analysis Reporting Jobs in Baltimore, MD

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Design, build, and maintain production ETL/ELT pipelines, analytics-ready data models, and cloud data infrastructure. Improve pipeline performance, data quality, governance, and migrate legacy systems to modern platforms. Collaborate with stakeholders to translate business requirements into reliable data products for project, financial, and operational analytics.

Support JDA/Blue Yonder WMS, configure systems for customer implementations, test new code, and collaborate with teams for operational improvements.

Support Data Services by analyzing and validating data using SQL and Excel, perform quality checks and reconciliations, monitor production workflows, communicate status and escalations, and identify process improvements. Act as liaison between business stakeholders and technical teams to ensure accurate, timely data deliverables.

As a Senior Analyst, you will develop data-driven solutions in collaboration with operations teams and deliver insights through reports and dashboards to improve patient outcomes.

We are seeking a Data Engineer to design, build and optimize scalable data pipelines. Strong experience in Databricks, PySpark, and data warehouse concepts is required.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

Own user attribution and acquisition analytics across paid and organic channels. Build Segment and AppsFlyer pipelines into Snowflake, write performant SQL and dbt-style models, reconcile CAC/LTV metrics, and ship Metabase dashboards. Track funnel from first touch to activation, identify drop-offs, run growth experiments, and use AI tools (Claude) to automate reporting and insights for marketing leadership.

Design and build scalable data foundations, pipelines, semantic models, and AI-grounded tooling. Lead platform-level AE tooling, reusable dbt patterns, observability, cost strategies, and agentic AI workflows. Partner with stakeholders, guide team technical development, and drive cross-functional data initiatives from ambiguous problems to production.

Lead and mentor a distributed data engineering team while architecting and building a next-generation, largely open-source data platform. Own hands-on POCs, pipeline design, schema and query optimization, ETL reliability, observability, testing, and CI/CD. Evaluate and recommend technologies, drive migration from vendor lock-in, and translate advertising and market research needs into robust technical solutions.