Top Data & Analytics Jobs

Analyze complex datasets using graph and network analysis, identify relationships and anomalies, build dashboards, and translate findings into executive briefings and recommendations. Coordinate contractor, government, and technical teams, track milestones, manage action items, and resolve operational bottlenecks for a high-visibility Department of Defense initiative.

Supports the IT team by gathering, validating, and analyzing SAP data and defect reports. Creates operational reports, identifies trends and process improvements, documents testing defects, clarifies requirements with stakeholders, and presents recommendations to management. The role provides hands-on exposure to business analysis, data science, reporting, and IT during an SAP implementation.

Analyzes and manages large-scale performance and test data for HQ CCC. Responsibilities include statistical analysis, data pipelines, dashboards, database and system administration, data governance, lifecycle management, quality controls, and stewardship. The role uses Palantir Foundry, Databricks, Power BI, Tableau, Python, R, SQL, YAML, and PySpark to deliver secure, trustworthy, auditable insights supporting cyberspace performance and risk decisions.

Leads business intelligence and advanced SQL analytics using Snowflake, Tableau, Power BI, and Python. Analyzes complex data, validates data integrity, develops semantic models and reporting solutions, partners with stakeholders and IT data teams, presents insights, improves analytics processes, documents standards, and mentors analysts. The role requires strong business judgment, communication, governance, and technical leadership.

Leads the data organization across data engineering, analytics, reporting, and data science. Defines data strategy, architecture, governance, quality, and platform roadmaps; manages and develops technical teams; partners with business and engineering leaders; and guides scalable AWS-based data infrastructure, batch and real-time pipelines, and data products that support strategic growth.

Develops and maintains dashboards, reports, data tools, and data infrastructure for Consulting. Analyzes client, project, portfolio, capacity, compliance, and outcomes data to identify trends and support decisions. Maintains data integrity across Salesforce, Resource Hero, Power BI, and related systems; establishes governance standards; trains staff; and manages consulting projects, workflows, budgets, timelines, and deliverables.

Analyzes business operations and development opportunities for a research-driven trading firm. Builds dashboards, predictive models, automation scripts, and data tools to support decisions. Mines and organizes data from systems such as accounting platforms and GitLab, improves business processes and communication, and coordinates with partners and vendors on compliance and trading operations.

Leads enterprise data management and governance strategy, standards, policies, lifecycle practices, metadata, data quality, and regulatory alignment. Partners with data owners, stewards, business leaders, architecture, analytics, and technology teams to improve data maturity and embed governance requirements. Chairs governance committees, drives quality controls and remediation, facilitates change management, promotes adoption, and advises on data definitions, lineage, cataloging, classifications, and enterprise data roadmaps. This role emphasizes influence and governance rather than hands-on engineering or ETL/ELT development.

Analyzes product, sales, orders, pricing, inventory, profitability, and market data to generate actionable insights for strategic and operational planning. Develops forecasts, competitive analyses, pricing recommendations, dashboards, reports, and presentations for senior leadership and cross-functional teams. Supports product configuration databases, inventory optimization, and customer and sales discussions using advanced analytics and visualization tools.

Design and deliver modern data platforms, scalable and secure ingestion and transformation pipelines, durable data models, streaming systems, and reporting layers. Partner directly with clients and business stakeholders to translate requirements into architecture, explain tradeoffs, and own delivery outcomes. The role includes production implementation across cloud data platforms, orchestration, governance, real-time technologies, and analytics or AI data consumption.