Top Senior Analysis Reporting Jobs in Baltimore, MD

The Senior Data Analyst will analyze complex datasets, develop dashboards, perform customer experience analytics, and leverage statistical modeling to enhance operational performance and service delivery within ITSM environments.

Lead the maintenance and development of ETL processes for the data warehouse, support analysis and design of new ETL requirements, and recommend enhancements for data cleansing.

Lead Power BI developer for Legal, Compliance, Audit & Risk and Enterprise Risk Management. Own end-to-end reporting, data ingestion (Power Query), data modeling (DAX), dashboard development, automation, data quality, governance, and stakeholder-facing analysis and presentations. Support ad hoc analysis and incorporate AI overlays.

Formulate and solve large-scale mathematical optimization and resource-allocation problems (LP, IP, MIP). Build and validate optimization models and decision-support tools, apply heuristics and constraint programming, perform trade-space and sensitivity analyses, and present actionable recommendations to senior leadership in secure government contexts.

Lead portfolio analytics for Amazon Credit & Payments: define problems, source and analyze data, build dashboards, measure and optimize lifecycle and campaign performance, partner cross-functionally, and coach analytics teams to drive growth, profitability, and improved customer experience.

Lead the data workstream for complex implementations: collect, validate, transform and upload large datasets into VMS, perform ETL and rate audits, build VMS reports, ensure data quality and governance, communicate status to clients, and mentor junior analysts.

The Senior Relativity Archiving Analyst will vet and archive Relativity workspaces and file shares, collaborating with management and documenting processes.

Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Design, build, and optimize cloud-native batch and streaming data pipelines using Python and PySpark; lead SQL Server to PostgreSQL migrations; implement Terraform-managed AWS infrastructure; perform performance and cost optimization; develop data quality and monitoring frameworks; apply software engineering best practices and provide production support via an on-call rotation.