Top Remote Data & Analytics Jobs

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Senior Manager, Revenue Strategy will drive growth for the US SME Sales segment by implementing strategic plans, coordinating product launches, managing budgets, and collaborating with various teams to enhance sales efficiency and customer onboarding.

As a Staff Data Scientist, you will lead the Growth Analytics team, implementing data science techniques to drive product-led growth and influence strategies across various teams.

The role involves improving transaction monitoring rules, analyzing risk patterns, and building dashboards for compliance while collaborating with investigations and compliance leadership.

The role involves leading Quote-to-Revenue processes, mentoring junior team members, and ensuring quality deliverables in finance systems and billing operations.

The MDM PIM Manager at PwC oversees Product Information Management solutions, ensuring data quality, mentoring teams, and driving innovation in product data practices.

The role involves designing and implementing advanced analytics solutions for healthcare payers, analyzing complex problems, mentoring juniors, and building client relationships.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

Design, build, and optimize scalable ETL/data pipelines (SQL Server, Snowflake, Databricks) for large healthcare datasets. Support production cycles, monitor and resolve issues, perform root cause analysis, ensure data quality, conduct code reviews, estimate work, and partner with stakeholders to deliver reliable data solutions.

Design and implement ETL pipelines, optimize data systems, build data warehouses, and develop AI/ML models for data solutions. Collaborate with teams to deliver data-driven products and ensure data quality and governance.

Quantitative Researchers at GQS leverage advanced statistical techniques and machine learning for investment strategies, portfolio optimization, and innovative research.

The Sr. Analytics Engineering Manager will lead analytics engineering, managing a team to build ELT pipelines and data models for actionable insights in mental healthcare.

Analyze advertising inventory to maximize value, design tests, synthesize data into reports, and identify revenue opportunities in gaming.