Top Data & Analytics Jobs in Washington, DC

Provide reporting and real-time analytics for a 24x7 Tier II service desk. Design, validate, and deliver ad hoc and scheduled reports using SQL/SSRS, working with leadership. Onsite role in Columbia, SC supporting government customer.

Supports client-focused data analytics projects within PwC’s Advisory practice. Responsibilities include analyzing datasets, researching information, developing data-driven insights, using Alteryx and Power BI to automate processes and create visualizations, developing algorithms, creating KPI dashboards, applying data mining techniques, and integrating data from multiple sources. The intern will learn PwC methodologies, collaborate with experienced professionals, and gain exposure to AI, cloud platform design, and data architecture.

Own and maintain dbt data models across design, testing, deployment, monitoring, and documentation. Translate ambiguous Marketing and Product needs into reliable data solutions, write design documents, support production issues, create runbooks and schema documentation, and coach junior engineers. The role uses SQL, Python, Snowflake, dbt, Dagster, and AWS while partnering closely with Marketing, Data, and MarTech teams.

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.

The Deployment Strategist collaborates with teams to deploy software solutions, analyze data, and train customers while addressing complex operational challenges.

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.

Own operational processes in Addepar, onboard complex client relationships, build alternative transaction histories, create alternative assets, and produce recurring and ad hoc portfolio reports. Analyze investment data, troubleshoot reporting issues, improve processes, document data governance, manage reporting projects, and develop industry insights. The role requires expertise with Addepar, Canoe, Excel, and alternative investment products.

Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.

Own data quality and operational reliability across Snowflake data pipelines. Responsibilities include monitoring jobs, managing incidents, maintaining runbooks, administering Monte Carlo, creating data quality checks and dashboards, validating bordereau and financial data, supporting UAT and integrations, analyzing trends, and partnering with engineering and business stakeholders to resolve data issues and improve processes.

Designs, builds, maintains, and troubleshoots SQL queries and data extracts for financial and operational reporting. Transforms source data into reliable datasets, automates recurring processes, validates and reconciles data, identifies quality issues, and supports integrations between systems and analytics platforms. The role also documents data flows and technical processes while supporting federal law enforcement clients.

Leads the program’s data and analytics capability, developing financial and operational analyses, data-quality practices, cost models, dashboards, and executive visualizations. The role supports billing methodologies, anomaly and trend identification, Government requests, and repeatable analytical processes. It requires translating complex data into actionable findings and documenting assumptions and data sources, with preferred experience in federal financial management, cost allocation, predictive modeling, and federal financial systems.

Develops and enhances web-based tools and content management systems through architecture updates, scripting, frontend development, automation, integrations, testing, debugging, and system troubleshooting. The role supports HTML/CSS/JavaScript interfaces, Java and server-side logic, dashboards, search, AI-related features, and data flow between backend and frontend. It also involves customer interaction, IRS feedback analysis, documentation review, and collaboration within Agile teams.