Top Analysis Reporting Jobs in Washington, DC

Lead data validation and risk analytics practice, set strategic direction, manage multiple client engagements, and drive business development. Use Alteryx and Python for data integration, build dashboards in Power BI/Tableau, apply predictive analytics and statistical modeling, ensure data integrity/security, mentor teams, and cultivate executive client relationships.

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.

The Staff Data Engineer will lead design and implementation of analytics platforms and data products, collaborate cross-functionally, mentor engineers, and drive best practices at Upside.

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.

Design, build, and maintain scalable data platforms and pipelines (ETL/ELT) to process structured and unstructured data. Lead cross-functional teams in developing, operationalizing, and monitoring data applications for analytics, reporting, and real-time streaming. Support data conversion, scaling, and platform operations while meeting security and clearance requirements.

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.