Top Remote Analytics Jobs in Washington, DC

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

The Associate Director leads Data Transformation & Analytics projects, manages teams, interacts with clients, and develops innovative solutions utilizing data for performance analytics in transactions and transformation events.

Lead a team of Data Scientists, Analytics Engineers, and Data Engineers to drive messaging strategies through analytics and data science, ensuring collaboration across various business domains.

The Senior Analyst will support drug pricing initiatives, implement MAC prices, perform quality control, and collaborate with clients and partners.

As a Data Analytics Lead, you'll define KPIs, build data models, and develop actionable reports to support scalable analytics in a fast-growing healthtech company.

The role involves maximizing profitability through revenue optimization, forecasting, analysis, and collaboration with cross-functional teams, focusing on pricing and seat inventory management.

The Analytics Principal will lead analytics for key client partnerships, analyze large datasets, develop insights, and mentor junior analysts.

The Senior Analytics Engineer designs and maintains analytics-ready data models, manages SQL-based transformations, partners with stakeholders, and ensures data quality for reporting and decision-making.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

The Sr. Analytics Analyst will set up data feeds, create reports, perform data analysis, and ensure data quality for client implementations.

The Director of Data & Analytics will lead the Data & Analytics team, define product strategies, ensure quality outcomes, and drive user adoption of data products. They will act as a technical lead in customer interactions while balancing various internal and external data-related priorities.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

This role focuses on driving data-driven decisions in Paid Media strategies by analyzing performance metrics, optimizing media investments, and collaborating with various teams to enhance customer acquisition.

The Enterprise Performance Analytics Engineer builds and maintains data pipelines and models, ensuring data quality and efficient reporting for analytics teams.

Design and implement data solutions using Databricks and Python, develop data models and pipelines, and support Audit Analytics for a Federal customer.

The Manager of Operational Analytics leads a team to improve partner relationships through analytics, overseeing reporting, performance dashboards, and implementing AI tools for enhanced insights.

Lead analytics for Nutrafol.com and the Nutrafol App, driving insights for roadmap prioritization, conversion optimization, and overseeing CRO analytics. Manage a Senior Associate Analyst and collaborate on digital experiences that enhance growth.

The Predictive Analytics Engineer will manage Python and R tools, develop cloud operations, and automate analytics services using AI and ML while ensuring compliance and security.

This role manages the BI platform's day-to-day operations, develops analytics solutions, enhances capabilities, and partners with teams to fulfill reporting needs. Responsibilities include monitoring system performance, data governance, and ensuring data quality while delivering actionable insights to support business growth.

The Senior Manager, Risk Analytics & Decision Science will shape credit strategies, improve decisioning frameworks, and optimize model performance to enhance approval, pricing, and portfolio outcomes.

Lead the transformation of People Analytics dashboard portfolio into a cohesive experience while defining BI platform strategy, improving usability, and developing scalable data products.

Manage end-to-end polling operations: program questionnaires, pull samples, design weights, QC data, produce toplines and crosstabs, coordinate with data science and vendors, and improve polling processes.

Lead and oversee end-to-end polling operations: design and program surveys, construct samples, compute weights, analyze results, produce toplines/crosstabs, coordinate with data science, manage and mentor polling staff, and improve polling processes and vendor relationships to deliver client insights.

The Analytics Engineer will oversee the analytics foundation for advertiser reporting, ensure metric consistency across campaigns, and work with various teams to manage metrics and data models for the expanding ad platform.

The Lead Analytics Engineer will model revenue, specifically subscription revenue, manage financial KPIs, and ensure reconciliation with source systems like Stripe, while adhering to data governance standards.