Top Remote Senior Level Data & Analytics Jobs

Design, build, and maintain production data pipelines and tooling (CI/CD, testing, validation) using Snowflake, dbt, and orchestration tools. Model, transform, document, and optimize data to produce reliable curated datasets for analytics and solutions, enforce engineering best practices, and mentor teammates while ensuring scalability, observability, and data integrity.

As a Senior Data Analyst, you'll analyze complex datasets to provide actionable insights for marketing and business strategy. You will collaborate with various teams to optimize client performance, build forecasts, and support ongoing metric analysis.

Lead measurement strategy for a book of marketing clients using statistical modeling (MMM), experiment design (MMT), customer analysis, and attribution. Translate large data sets into actionable insights using R, Python, and SQL; present recommendations to clients and mentor measurement analysts while improving processes and leveraging Power Digital's Nova and AI tools.

Validate and monitor supplier and customer data quality, automate checks with SQL and Python, build dashboards (Tableau), support customer onboarding/deliveries via AWS and Snowflake, provide analytics and direct customer support, and improve data delivery processes.

Design and optimize BI semantic models and analytics workflows using PowerBI and Tabular Editor; build and transform large-scale datasets in BigQuery with dbt; implement CI/CD and deployment via GitHub and Azure DevOps; collaborate with stakeholders to deliver actionable visualizations and integrate Agentic AI into analytics pipelines.

The Data Analyst, Consultant will lead workforce analytics, integrate and analyze data, and develop insights for federal contracts, driving strategy and reporting for stakeholders.

Lead design and optimization of analytics products and Tableau dashboards, manage and tune reporting data pipelines (Redshift/ETL), implement performance best practices, collaborate cross-functionally, and drive automation and AI opportunities to improve reporting and analytics for healthcare customers.

Design, implement, and optimize AWS-based data infrastructure and automated ETL/ELT pipelines using Airflow, DMS, Glue, Redshift, and Athena. Build Terraform modules and CI/CD for data workflows, enforce security/IAM, implement observability, optimize performance/cost, and mentor junior engineers.

Manage client projects focused on data transformation and analytics, developing solutions using various tools, while maintaining strong communication with stakeholders.

Lead a team of Data Scientists and Analysts, developing AI and data-driven solutions, driving analytics insights, and fostering collaboration across teams.