Top Remote Analysis Reporting Jobs in Washington, DC

Build and lead Surescripts’ commercial analytics function, including governed Salesforce and CRM data models, KPI definitions, dashboards, forecasting, pipeline analytics, customer journey insights, automated reporting, quota modeling, and territory planning. Manage an analyst and partner with Sales, Marketing, Finance, Data, and Business Applications. Present actionable recommendations to senior leaders while improving data quality and enabling self-service analytics.

Lead enterprise database services across Oracle, SQL Server, AWS, and Azure platforms for the Department of Veterans Affairs. Provide technical leadership for database operations, modernization, availability, disaster recovery, security compliance, observability, governance, and performance reporting. Coordinate cross-functional and multi-vendor engineering teams, support cloud transitions and virtualization migrations, maintain audit readiness, and align database services with federal cybersecurity frameworks and VA operational requirements.

Performs business analytics and statistical modeling to identify trends, improve processes, and support decision-making. Develops advanced Excel reports, VBA automations, Power BI dashboards, and data visualizations. Collaborates with business and IT stakeholders, manages shared data in OneDrive and SharePoint, and communicates insights to nontechnical audiences while handling multiple priorities.

Leads end-to-end business intelligence delivery, including requirements discovery, dimensional modeling, SQL development, Power BI dashboards and semantic models, testing, deployment, documentation, adoption, and support. Establishes BI standards, optimizes performance, validates reporting data, partners with stakeholders, communicates analytical insights, and mentors analysts and developers. Requires advanced Power BI and SQL expertise plus practical Microsoft Fabric knowledge.

Analyze credit card sales and business performance using Databricks, SQL, Power BI, and related tools. Optimize lead prioritization and conversion, evaluate customer segments and markets, design A/B tests, and connect sales metrics to revenue, acquisition, and profitability. Present actionable insights and strategic recommendations to cross-functional stakeholders while supporting marketing and business strategy.

Lead development of a unified fleet knowledge model and decision-capture pipeline for autonomous data-center operations. Build data access layers across relational, telemetry, monitoring, and time-series systems; capture labeled operator decisions; negotiate data requirements with source-system owners; and own scaling considerations including vector indexing, schema evolution, retention, and analytics separation. The role requires strong infrastructure-domain modeling, PostgreSQL expertise, and experience handling time-series and event data at scale.

Designs, builds, maintains, and optimizes scalable data pipelines and ETL/ELT workflows using Azure Databricks, SAS, SSIS, SQL, Python, and Spark. Integrates data from internal and external sources, improves performance and reliability, troubleshoots complex processing issues, and supports cloud-based data platform architecture. Collaborates with engineering, analytics, product management, SRE, and other stakeholders to deliver high-quality data solutions.

Lead consumer insights projects from brief development through research design, quantitative and qualitative analysis, storytelling, reporting, and client presentation. Manage client relationships, develop actionable recommendations, create surveys, oversee project plans, and coach junior team members. Serve as a strategic advisor by translating consumer and market data into business decisions.

Develop and support a scalable business intelligence and reporting platform using ClickHouse, Python ETL/ELT pipelines, advanced SQL, dimensional models, and reporting marts. Integrate data from Elasticsearch, SQL Server, APIs, and files; optimize analytical queries; build dashboards and reporting experiences; collaborate with business stakeholders; and develop AI-enabled features for natural-language querying, insights, anomaly investigation, and automated reporting intelligence.

Analyzes sales, cost, margin, pricing, rebate, supplier, and product-category data to produce management and ad hoc reports. Supports profitability modeling, market adjustments, supplier programs, distribution agreement compliance, and business trend analysis. Collaborates with Business Intelligence, Finance, Pricing, and Product Category Management teams, while maintaining reporting tools and methodologies. May mentor entry-level team members and support special projects.