Top Data & Analytics Jobs in Washington, DC

Reposted 12 Hours AgoSaved
Hybrid
Washington, DC
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead architecture and delivery of master data management solutions, drive large projects, improve data quality and operations, design taxonomies, and mentor teams to achieve operational excellence and client satisfaction.
Top Skills: InformaticaMdm PlatformsOracleProfiseeRiversandSAP
Reposted 12 Hours AgoSaved
Hybrid
Washington, DC
99K-232K Annually
Mid level
99K-232K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead data validation and risk initiatives using advanced analytics, statistical modeling, and visualization to extract insights, improve data quality, build pipelines, and deploy scalable data solutions. Manage client accounts, mentor teams, and collaborate with stakeholders to address data challenges and optimize business performance.
Top Skills: AWSAzureDatabricksGCPMs SqlPower BIPythonSASTableau
Reposted 12 Hours AgoSaved
Hybrid
Washington, DC
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead architecture and delivery of end-to-end Master Data Management (MDM) solutions, manage client engagements and teams, align MDM implementations with business objectives, mentor staff, and maintain quality and governance across data operations and stewardship.
Top Skills: InformaticaMdm PlatformsOracleRiversandSAP
4 Days AgoSaved
Remote or Hybrid
Washington, DC
98K-150K Annually
Mid level
98K-150K Annually
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Partner with People Analytics Consultants to analyze HR data, deliver actionable insights for talent decisions, workforce planning, retention, and employee experience. Design analyses, present findings to leaders, manage multiple projects, and help enhance analytics solutions.
Top Skills: ExcelPower BIPythonRSQL
Reposted 4 Days AgoSaved
In-Office
Washington, DC
110K-170K Annually
Mid level
110K-170K Annually
Mid level
Artificial Intelligence • Software
The Deployment Strategist collaborates with teams to deploy software solutions, analyze data, and train customers while addressing complex operational challenges.
Top Skills: MatlabPythonRSQL
Reposted 5 Days AgoSaved
Hybrid
Washington, DC
Expert/Leader
Expert/Leader
Financial Services
Lead a team of economists and analysts to monitor consumer and business health metrics, produce internal and external reports, define analytical agendas and segments, coordinate research and stakeholder engagement, and communicate economic insights to executives, investors, and community partners.
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Reposted 6 Days AgoSaved
Remote or Hybrid
Washington, DC
214K-245K Annually
Senior level
214K-245K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
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.
Top Skills: AWSDagsterDbtPythonSnowflakeSQL
Reposted 8 Days AgoSaved
Easy Apply
Hybrid
Washington, DC
Easy Apply
195K-230K Annually
Senior level
195K-230K Annually
Senior level
Artificial Intelligence • Machine Learning • Software
The Staff Implementation Engineer will lead complex data integrations, develop big-data pipelines, and mentor engineers, ensuring high standards for data security and governance.
Top Skills: AWSAzureDatabricksDockerGitKubernetesOpensearchPostgresPythonRest ApisSparkSQL
Reposted 12 Days AgoSaved
In-Office or Remote
Washington, DC
98K-128K Annually
Senior level
98K-128K Annually
Senior level
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
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.
Top Skills: Apple MacosBlockchain TechnologyDigital AssetsGoogle SuiteSlack
An Hour AgoSaved
In-Office
Washington, DC
110K-130K Annually
Senior level
110K-130K Annually
Senior level
Information Technology • Professional Services • Consulting • Defense
Supports deployment of an FAA air traffic support system through data validation, reconciliation, quality control, and implementation documentation. Maintains databases, trackers, readiness information, checklists, repositories, and deployment records. Reviews source documents and materials records, identifies discrepancies, coordinates status collection, escalates issues, and incorporates lessons learned into procedures and future planning. The role requires advanced Excel, Microsoft 365 proficiency, strong organizational skills, independent judgment, and careful adherence to controlled processes.
Top Skills: Microsoft 365ExcelMicrosoft TeamsPowerPointSharepointVisioWord
3 Hours AgoSaved
In-Office
Washington, DC
110K-110K Annually
Entry level
110K-110K Annually
Entry level
Fintech • Cryptocurrency
Participate in an 18-month rotational Business Analyst program across Robinhood’s Money and Growth organization. Analyze business metrics, economic drivers, pricing, segmentation, and risk-return trade-offs to identify growth opportunities. Build analytical models, dashboards, and executive presentations, while partnering with product, engineering, risk, and finance teams to execute strategic initiatives and measure results.
Top Skills: Ai ToolsAnalytical ModelingDashboardsSQL
Senior level
Fintech • Healthtech
Designs, implements, modernizes, and operates enterprise-scale economic data systems across ingestion, transformation, storage, quality validation, metadata, semantic modeling, visualization, dissemination, monitoring, and governance. Builds secure, scalable data products using modern cloud, lakehouse, warehouse, and distributed-processing technologies. Establishes DataOps, CI/CD, observability, lineage, and compliance controls; supports AI, machine learning, forecasting, and semantic search use cases; manages platform availability, infrastructure, roadmap, incidents, and stakeholder coordination.
Top Skills: SparkBigQueryCi/CdDatabricksDataopsHadoopMicrosoft FabricNoSQLPower BIPythonSdmxSnowflakeSQL
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