Top Data & Analytics Jobs

Analyze fundraising data by building reports, dashboards, data pulls, forecasts, and operational metrics. Clean and validate Salesforce and related data, identify quality issues, document standards, and support finance reconciliation. Build lightweight tools and workflows using spreadsheets and Airtable, ensuring important data flows into Salesforce. Partner cross-functionally on reporting architecture and coach fundraisers on effective system use.

Analyze large-scale electronic health record and real-world data using SQL, R, and Python. Scope requests, produce research studies and results, write Databricks SQL regex queries, support customers, investigate data sources, collaborate on peer-reviewed publications, and create enablement materials for researchers.

Analyze supply chain and operations data, build dashboards and decision-support tools, support predictive and prescriptive analytics, gather data requirements, document methodologies, and complete an end-to-end summer project. The intern will work with SQL, Python, Excel, cloud data sources, decision intelligence platforms, and agile sprint practices while collaborating with planners, operators, managers, and business stakeholders.

Owns portfolio-level project performance analytics, KPI development, dashboards, reporting systems, and data governance for a Power EPC organization. Develops executive reports, audits project data quality, leads performance reviews and process improvement initiatives, and supports automation, AI, and digital transformation efforts. Partners cross-functionally with engineering, supply chain, construction, project controls, and leadership to improve project delivery performance and decision-making.

Analyzes customer account data, SLA performance, service metrics, and escalations across delivery hubs. Builds Excel dashboards, pivot tables, scorecards, trackers, and leadership reporting materials. Partners with Operations to validate data, identify root causes, detect risk patterns, and support issue resolution. Maintains data integrity and governance while contributing to reporting standardization and process improvements.

Administer and optimize SQL Server, AWS Aurora, PostgreSQL, and related database environments supporting federal workforce reporting. Responsibilities include performance tuning, backup and recovery, replication, data integrity, reporting support, incident troubleshooting, Tier 2/3 support, security controls, audit logging, vulnerability remediation, and technical documentation. The role requires prior Department of Labor IT program experience, federal database administration expertise, and eligibility for DOL Public Trust suitability.

Build and scale production Python pipelines for economic and financial climate-risk models. Responsibilities include transforming research prototypes into tested infrastructure, supporting statistical, econometric, and machine-learning modeling, cleaning large financial and hazard datasets, resolving data anomalies, and collaborating with engineering, product, and client teams to document outputs and communicate findings.

Build and maintain centralized, validated data platforms covering reference, fundamental, market, index, exchange, instrument, and security master datasets. Analyze vendor data, design scalable data models, implement quality controls, resolve processing issues, and partner with quantitative researchers and traders. Provide technical leadership and mentorship while maintaining testing and system design standards across the Core Data team.

Performs revenue, pricing, economic impact, competitive venue, KPI, forecasting, and statistical analyses supporting Events DC sales and business growth. Develops reports, recommendations, ROI and cost-benefit analyses, metrics, presentations, and requirements documentation. Partners with sales, convention management, corporate partnerships, sports, and entertainment leadership to optimize venue bookings, financial performance, and event business strategies across Washington, DC-area properties.

Produce original data-driven journalism for Ignites and BoardIQ by sourcing, cleaning, analyzing, and interpreting complex datasets. Develop investigative and rapid-turnaround stories, identify trends and anomalies, and create charts, graphics, and interactive visualizations. Collaborate with reporters, editors, and visual journalists while supporting data journalism practices across the organization. Use public records, APIs, web scraping, databases, and proprietary datasets while maintaining accuracy, transparency, and journalistic integrity.