Top Senior Data & Analytics Jobs in Washington, DC

Design and implement enterprise data architectures, define data governance and modeling standards, collaborate with stakeholders, document data structures, evaluate data management technologies, and support data integration for analytics and business needs.

Lead fraud detection and mitigation for a conversational BNPL product. Define fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, collaborate on ML models and decisioning workflows, and coordinate SARs and compliance reporting.

The Market & Business Intelligence Manager will lead analytics strategies, manage a team of business analysts, and provide insights to support firm strategy and decision-making.

The role involves leading a team to grow and retain business in online communities and panels, managing recruitment, engagement, and data quality while overseeing the operational excellence and compliance within global markets.

The role involves maintaining SailPoint IIQ infrastructure, troubleshooting issues, developing scripts, and collaborating across teams to enhance identity management solutions.

Lead global MLE strategy for MMS and IFA programs: design M&E frameworks, oversee large-scale primary data collection and analysis, drive implementation research, advise regional teams and donors, support scale-up decisions, manage budgets and a direct report, and translate evidence into program adaptations.

Lead architecture and build scalable data pipelines and ETL for large datasets, optimize data models and DB structures, ensure data quality and governance, work with cloud platforms (Snowflake/AWS), mentor junior engineers, collaborate with data scientists and product teams, and apply geospatial and big-data technologies to deliver data-driven transportation solutions.

Develop, maintain, and migrate an Oracle-based database (11g to 19c) supporting a telecommunication OSS with spatial data. Build SQL/PLSQL, triggers, ERDs, integrate MS SQL Server sources, and work with ESRI ArcGIS/SDE for geospatial visualization. Participate in Agile/Scrum team, troubleshoot, perform upgrades, enforce standards, and provide technical guidance and documentation.

Develop, test, and maintain SQL/PLSQL and Python solutions for BI reporting in Cognos and Oracle environments. Provide production support, ad hoc reporting, data modeling, performance tuning, QA, and translate customer requirements into analytics-driven BI reports.

Lead the definition and execution of enterprise investment data strategy. Analyze investment datasets and workflows, identify data quality and lineage issues, design logical data models and metadata standards, drive governance and reusable data services, and partner with portfolio managers, quants, and technology teams to deliver scalable data solutions and AI-enabling capabilities.