Top Remote Data & Analytics Jobs

The Lead Data Architect will define enterprise data strategies, architect modern data platforms, lead pre-sales engagements, and ensure delivery excellence while mentoring team members.

The Director of Analytics leads analytic projects, collaborates with teams for model design, uses various statistical tools, and manages junior analysts. Responsibilities include forecasting, data evaluation, and presenting insights to support marketing efforts.

The Data Product Manager - Curation designs and manages curated data products, overseeing data modeling, governance, and partnership with analytics teams to enhance data usability and support advanced analytics, including Machine Learning.

The Senior Director of Data Strategy & Operations leads commercial data management, operations, and governance to enhance customer experiences and operational efficiency across teams, while also ensuring data compliance and development.

Lead the Statistical Programming team at Natera, overseeing programming activities for clinical validation in oncology, regulatory submissions, and developing programming infrastructure. Mentor team members and ensure high-quality analysis aligned with regulatory standards.

Lead Quantitative Analysts in risk management data analysis, model creation, testing, and validation for business and regulatory compliance. Mentor junior analysts and present results to management.

The Associate Director will lead data governance and compliance initiatives, developing operational models and documentation while ensuring efficient practices across Data Management and the enterprise.

As a Product Analyst, validate software quality for AgExpert Accounting by testing, identifying defects, collaborating with teams, and supporting continuous improvement.

As a Data Platform Engineer at Fetch, you'll build and maintain data ingestion pipelines, operate cloud-native services, and collaborate across teams to enhance data reliability and access.

The Senior Business Data Analyst gathers and analyzes large datasets to identify insights, collaborates on reporting requirements, validates data accuracy, and presents actionable recommendations to leadership.