Top Analysis Reporting Jobs in Washington, DC

Administer and optimize SQL Server, AWS Aurora, PostgreSQL, and related database environments supporting federal workforce reporting. Responsibilities include performance tuning, backup and recovery, replication, data integrity, reporting support, incident troubleshooting, Tier 2/3 support, security controls, audit logging, vulnerability remediation, and technical documentation. The role requires prior Department of Labor IT program experience, federal database administration expertise, and eligibility for DOL Public Trust suitability.

Performs revenue, pricing, economic impact, competitive venue, KPI, forecasting, and statistical analyses supporting Events DC sales and business growth. Develops reports, recommendations, ROI and cost-benefit analyses, metrics, presentations, and requirements documentation. Partners with sales, convention management, corporate partnerships, sports, and entertainment leadership to optimize venue bookings, financial performance, and event business strategies across Washington, DC-area properties.

Analyzes healthcare enrollment systems and EDI integrations, gathers and documents requirements, writes SQL queries, validates and reconciles data, supports testing and defect management, and provides application monitoring and issue triage. Level III responsibilities include advanced SQL, automated validation, API and data model analysis, complex specifications, cross-functional leadership, vendor evaluation, and coaching junior analysts.

Design, build, test, and maintain cloud-based data pipelines and ETL processes using Python, Databricks and Spark. Develop SQL queries and dashboards, automate workflows, integrate code with GitHub/GitLab CI/CD, troubleshoot data quality, and collaborate with stakeholders to deliver scalable, secure data solutions.

Designs scalable Databricks solutions and ETL/ELT pipelines while administering MariaDB and SQL Server environments. Responsibilities include database design, performance tuning, backup and disaster recovery, security and access management, data modeling, quality and lineage, and troubleshooting complex data issues. The role collaborates with stakeholders and technical teams, translates requirements into secure solutions, provides technical direction, and delivers demonstrations and training for Department of Transportation support.

Analyzes digital product performance across revenue, reach, engagement, conversion, and web behavior metrics. Implements and validates analytics tagging, tracking codes, data layers, and taxonomies using Adobe and Google Analytics tools. Develops data visualizations, statistical models, experiments, and actionable insights to improve products, marketing, and business strategy. Partners with product, marketing, development, and business teams, establishes analytics standards, troubleshoots data collection issues, documents requirements, delivers training, and mentors entry-level analysts.

Leads medium- to large-scale analytics projects and client relationships while conducting data analysis, managing data infrastructure, building reports and calculators, and preparing client presentations. Provides strategic insights, oversees deadlines and quality, mentors analysts, collaborates with data science and technical teams, and communicates findings to technical and non-technical stakeholders.

The Senior eDiscovery Analyst advises litigation teams and clients on ESI preservation, collection, processing, review, analysis, and production. The role manages Relativity applications, develops discovery databases and documentation, troubleshoots data, and supports cloud and collaboration data sources. It designs and validates Relativity aiR workflows, mentors analysts on generative AI, and ensures defensible review practices. The analyst also manages multiple projects, maintains technical expertise, supports clients and vendors, works Eastern Time hours, and meets a 1,400-hour annual billable goal.

Conduct advanced workforce analysis for the Administrative Office of the U.S. Courts. Develop statistically defensible staffing methodologies, workforce baselines, scalable staffing models, staffing equations, and supporting tools. Apply statistical analysis, operations research, facility segmentation, scenario and sensitivity testing, and qualitative validation. Collaborate with security and data analytics subject matter experts to document assumptions, limitations, operational factors, and model performance.

Supports ETL pipeline development, legacy data migration, data transformation, validation, profiling, cleaning, and integration for a secure DEA modernization program. Collaborates with technical and business teams, monitors pipeline performance, troubleshoots issues, documents data flows and migration results, and participates in Agile development activities under senior engineer guidance.