Top Analysis Reporting Jobs in Washington, DC

Lead analytics workstreams to extract insights from large datasets, build dashboards and predictive models, manage project planning and delivery, mentor teams, and collaborate with stakeholders to implement data-driven solutions and maintain data integrity.

Use advanced analytics, data manipulation, visualization, and statistical modeling to extract insights from large datasets, support clients, build relationships, and deliver data-driven recommendations while developing technical and leadership skills.

Lead data analysis for merchants, manage projects to improve product and acquisition strategies, and communicate insights effectively.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

The Deployment Strategist collaborates with teams to deploy software solutions, analyze data, and train customers while addressing complex operational challenges.

Support end-to-end greenhouse gas inventory lifecycle across Scope 1-3, perform emissions calculations and data validation, analyze trends and data quality issues, maintain audit-ready documentation and methodologies, assist external assurance and regulatory disclosures, and collaborate with cross-functional teams to strengthen controls and reporting processes.

Provide reporting and real-time analytics for a 24x7 Tier II service desk. Design, validate, and deliver ad hoc and scheduled reports using SQL/SSRS, working with leadership. Onsite role in Columbia, SC supporting government customer.

The Staff Implementation Engineer will lead complex data integrations, develop big-data pipelines, and mentor engineers, ensuring high standards for data security and governance.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Lead renewal operations analytics and systems: design and improve renewal processes, maintain forecasting and performance tools, gather requirements, partner with developers, run UAT, analyze sales and retention trends, identify root causes, and drive data accuracy, scalability, and adoption across sales, finance, and technical teams.

Perform forensic data analysis and fraud detection using SQL, Python/R, ML, big-data tools and visualization. Develop detection models/rules, evaluate anti-fraud tools, manage engagements, communicate findings to stakeholders, and lead project teams in investigations and compliance remediation.

Lead architecture, provisioning, performance tuning, migration, and security of cloud analytical databases (Redshift, Aurora/Postgres). Optimize high-volume analytical queries for BI tools, manage migrations (DMS/Airflow), automate maintenance with Python/Bash and IaC, and collaborate with data teams to enforce modeling and operational best practices. On-site in DC and requires active Top Secret clearance.