Top Senior Analytics Jobs in Washington, DC

Leads marketing analytics for global clients by developing measurement frameworks, integrating data, generating consumer insights, and evaluating cross-channel performance. Partners with creative, media, strategy, planning, and business intelligence teams to guide marketing and communications decisions. Oversees, mentors, and develops analysts while managing multiple client-facing workstreams and applying storytelling and data visualization to business challenges.

Leads enterprise data analytics, business intelligence, reporting, governance, and performance management initiatives. Develops data strategies, integrates information from enterprise systems, builds executive dashboards and KPI reporting, performs forecasting and trend analysis, and identifies automation and AI opportunities. Provides strategic insights for leadership decisions and manages data management and reporting teams in DHS or DoD environments.

Build scalable analytics data models and transformation pipelines that convert complex raw data into trusted, analytics-ready datasets. Develop SQL-based transformations, automated validation, data quality monitoring, documentation, and governance processes. Collaborate with data engineers, analysts, data scientists, application teams, and stakeholders to support enterprise reporting, BI dashboards, operational analysis, and cloud data modernization within a federal healthcare environment.

Develop scalable data pipelines, high-performance SQL queries, reports, dashboards, and analytics solutions for a federal law enforcement client. Integrate disparate data sources, use relational and cloud databases, support evolving stakeholder requirements, and communicate technical solutions to clients and cross-functional teams. The role also involves data governance, quality improvement, mentoring, technical leadership, and consulting engagement. Employment is contingent upon contract award and requires U.S. citizenship plus eligibility for DHS 6C Public Trust.

The Compliance Data & Analytics Manager develops AI and automation prototypes, integrates disparate data sources, builds Python and SQL analytics workflows, and creates web applications and automated alerts for compliance risk intelligence. The role partners with Legal, Finance, Regulatory Affairs, data science, and business intelligence teams to improve risk models and translate regulatory requirements into actionable analytical solutions.

Analyzes digital performance across websites, email, social media, and other platforms. Builds data systems, dashboards, reporting tools, and measurement frameworks; manages data transformation and quality; conducts statistical analysis, forecasting, personalization, and A/B testing; and translates findings into actionable communications and content recommendations. Presents insights to stakeholders, establishes benchmarks, supports audience research, and trains teams on analytics trends and effective communication strategies.

Leads commercial analytics strategy, revenue performance reporting, metrics governance, data reliability, executive decision support, and AI-enabled commercial intelligence. Builds standardized reporting architecture across Salesforce, Power BI, finance, billing, and marketing systems; analyzes sales and revenue motions; enables governed self-service analytics; and partners with RevOps, Data Engineering, Data Science, Finance, and commercial leadership to improve forecasting, sales productivity, and business outcomes.

Owns data infrastructure, datasets, dashboards, predictive models, and AI-enabled workflows for JLL’s national industrial real estate platform. The role supports investor and occupier business development through analytics, market research, supply-chain mapping, reporting, presentations, and executive insights. Responsibilities include coordinating cross-functional teams, improving data protocols, evaluating technology platforms, automating repetitive analysis, supporting pursuits, and communicating analytical priorities to leadership.

Build and maintain dbt data models while migrating workflows from Alteryx, managing Dagster or Airflow pipelines, and supporting Redshift analytics. Partner with RevOps stakeholders to translate data into business insights, dashboards, KPIs, ABM initiatives, and customer health scoring. Explore LLMs, predictive analytics, and SageMaker machine learning for use cases such as churn prediction and lead scoring.

Leads the design, development, and delivery of dashboards, KPI frameworks, benchmark analyses, and reporting solutions. Integrates data from multiple systems, improves data quality, manages analytical standards, and translates business needs into actionable insights. Collaborates with cross-functional stakeholders, mentors analysts, reviews analytics products, supports program and portfolio reporting, and presents findings to executive and operational audiences.

Lead data analytics initiatives supporting federal program performance management and leadership decision-making. Develop advanced analytics solutions, integrate data from SAM, FSMS, and SharePoint, create dashboards and performance metrics, ensure data accuracy and federal compliance, and provide insights to improve operational efficiency. The role requires on-site work in Washington, D.C., prior DHS or DoD experience, and extensive data analytics experience.

Lead strategic data analytics within Deals, applying advanced analytics, visualization, and statistical modeling to solve client problems. Oversee multiple projects, maintain executive client relationships, drive business development, mentor teams, and promote data integrity, innovation, and thought leadership to support firm growth.

Leads Wiley Research’s commercial analytics strategy, including KPI frameworks, executive dashboards, competitive intelligence, performance measurement, data governance, and scenario modeling. Advises executive and board-level leaders, aligns Finance and commercial reporting, consolidates fragmented data practices, and builds a trusted analytics capability across global teams. The role also develops analytical talent, drives self-service reporting, and translates complex findings into strategic decisions concerning growth, retention, investment, and market performance.

Deliver dashboards, data visualizations, analytics products, and automated reporting workflows for DHS policy leadership. Clean and transform data using Python or R, integrate multiple systems, document processes, gather stakeholder requirements, validate metrics, and present findings to nontechnical audiences. The role also supports analytics governance, standards, and scalable decision-making frameworks using Tableau, Power BI, Power Automate, and related cloud analytics tools.

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.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Lead quantitative research and analytics for political and commercial clients: design experiments and surveys, manage RCTs and statistical modeling, generate strategic insights, oversee a team of data scientists and analysts, and deliver client-facing recommendations.

Data and Analytics Consultants help clients deliver strategic initiatives through data-driven decisions, requiring technical expertise and problem-solving skills.

Lead and grow customer analytics practice for Communications, Media & Technology clients. Define strategy, develop thought leadership, deliver large-scale analytics engagements, and drive CRM modeling, reporting, and predictive analytics initiatives.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.