Top Remote Analytics Jobs in Washington, DC

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Supports cross-channel marketing attribution and influence modeling by documenting data sources, defining business rules, mapping and normalizing interaction data, testing reporting prototypes, and recommending implementation steps. The intern also assists with AWS marketing data organization, segmentation research, data hygiene, process documentation, and stakeholder communications. The role requires analytical thinking, thorough documentation, clear communication, and collaboration across marketing and technical teams.

Leads enterprise data governance strategy, transformation, operating model modernization, accountability, and executive engagement. Partners with senior stakeholders to improve data trust, accessibility, regulatory alignment, risk management, analytics, AI readiness, and business outcomes. Represents the Data Office in strategic and regulatory forums, establishes roadmaps and performance measures, resolves cross-functional data challenges, and drives organizational change without direct authority. The role focuses on governance and transformation rather than engineering, coding, analytics delivery, or technical administration.

Leads a client-facing healthcare analytics team that designs and maintains prior authorization decision automation programs. Consults PaaS clients, develops strategic roadmaps, translates requirements into technical blueprints, analyzes authorization and claims data, and builds KPI reports using visualization tools. Manages direct reports, improves analytics processes and AI tooling, partners with product and engineering teams, and ensures automation outcomes and client KPIs are achieved.

Designs and maintains scalable data infrastructure, ETL/ELT pipelines, canonical datasets, and AI context layers. The role improves data quality and alignment across sales and finance systems, investigates data inconsistencies, leads requirements through UAT and implementation, supports analytics self-service, and partners with cross-functional teams to deliver process improvements and reliable business data.

Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

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.

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.

Leads enterprise data analytics and automation/AI teams within Business Transformation. Establishes standards, validates value measurement, prioritizes automation opportunities, manages IT and third-party partners, and advises executives on data quality, governance, responsible AI, and technology delivery. The role builds analytics literacy, oversees portfolio capacity, identifies data gaps, and ensures transformation solutions produce durable business results across regulated utility operations.

Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.

Lead and scale Ticketmaster’s product experimentation program by establishing governance, standards, onboarding, and measurement practices. Configure and monitor Optimizely experiments, design statistically rigorous A/B and multivariate tests, analyze results, and translate findings into product recommendations. Define digital metrics, identify fan-experience opportunities, build self-service analytics resources, and partner with Product, Design, Engineering, Research, and Analytics teams to support data-informed decisions.

Summer college internship supporting WMATA’s Safety Data Analytics team. The intern will compile, review, and analyze safety and operational data; prepare reports, presentations, correspondence, and data visualizations; research information; identify problems; and assist with departmental meetings and projects. The role provides practical exposure to transit safety, operations, analytics, and public-sector business functions.

College intern supporting a transit maintenance training team through dashboard development, dataset cleaning, reusable reporting templates, data analysis, and report preparation. The role uses Excel, SQL, Power BI, or Tableau to track compliance, measure performance, and create visuals for decision-making. Interns may also research data, prepare presentations, attend meetings, participate in training, and support departmental projects. This is a temporary summer opportunity lasting up to 13 weeks.

Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.

Supports healthcare implementation projects, business workflow documentation, process improvement, work plans, and deliverables. Reviews large datasets from multiple sources to identify outliers, monitor trends, and prepare state-mandated reports. The internship provides experiential learning for undergraduate students interested in healthcare or data analytics.

Owns DeVry University's website measurement ecosystem, including GA4, GTM instrumentation, event taxonomies, data quality, tracking governance, and conversion measurement. Analyzes SEO, AI search visibility, website journeys, acquisition, engagement, and conversion performance using SQL and dashboarding tools. Investigates anomalies and friction, supports experimentation, automates monitoring, and delivers prioritized recommendations. Partners with web, marketing, SEO, technology, analytics, and external teams to improve measurement reliability, digital experience, and prospective student conversion.

Leads Lumicera’s enterprise data and analytics function, setting strategy, roadmaps, governance, investment priorities, and delivery standards. Manages analytics teams, data products, reporting, dashboards, data platforms, and governed self-service capabilities. Partners with executives and operational, clinical, technology, finance, compliance, and pharmacy stakeholders to translate business priorities into measurable insights. Oversees vendors, budgets, data quality, privacy, metadata, lineage, and AI-readiness while supporting regulated healthcare and specialty pharmacy operations.

Build and support production analytics models using SQL, dbt, BigQuery, Looker, and LookML. Develop governed semantic layers, self-service analytics, automated tests, and reliable datasets for business and AI use cases. Partner with stakeholders to translate ambiguous requirements into reusable solutions, investigate data discrepancies, optimize performance, support platform modernization, and maintain data quality, privacy, and documentation.

Leads enterprise advanced analytics and modeling to identify drivers of business performance across brands, markets, customers, accounts, and geographies. Translates findings into prioritized actions, playbooks, launch strategies, and scenario-based recommendations. Oversees rigorous, scalable analytical approaches, partners with senior stakeholders, and develops analytics talent across the organization.

Builds business-critical dashboards, scorecards, reports, and ad hoc analyses using SQL, Python, Excel, Power BI, and Tableau. Analyzes KPIs, identifies trends and root causes, automates recurring reporting, validates data, and translates complex findings into actionable insights for stakeholders and leadership. The role collaborates with data engineers and cross-functional teams to improve reporting workflows, data pipelines, and decision-making.

Own the architecture and standards for a trustworthy BI analytics platform. Design data models, ingestion and transformation patterns, lineage, PII controls, reliability SLAs, observability, schema governance, and cost management. Partner with engineers, analysts, business leaders, Security, Legal, and Compliance; enforce testing, CI/CD, infrastructure as code, and data quality practices. Mentor data professionals and document architectural decisions.

Owns end-to-end customer analytics workstreams, including KPI frameworks, multi-source dashboards, reporting, data governance, quality assurance, and insight delivery for government digital communications programs. Presents recommendations to stakeholders, mentors junior analysts, leads Agile ceremonies, documents analytics practices, resolves data issues, and evaluates AI-assisted analytics tools.

Analyze startup user and product data, identify trends and drivers, and turn findings into strategic recommendations. The role owns key metrics and dashboards, leads analytical deep dives, sizes opportunities, evaluates product tradeoffs, supports roadmap prioritization, and develops external-facing insights about startups in partnership with marketing and communications.