Top Hybrid Data & Analytics Jobs

The Applied Scientist will build pricing algorithms, design auction mechanisms, develop models for worker relationships and construct experiment frameworks for the organization. The role involves direct collaboration with engineers and analysis of marketplace trends and metrics.

The Growth Associate will run experiments to identify effective marketing channels, document results, collaborate with teams, and create repeatable playbooks to optimize growth.

Serve as OpenArt's first data scientist in the US, shaping data science practices, driving product decisions, and collaborating across teams to enhance user experience and engagement through data analysis and experimentation.

As a Lead Data Analyst, you will drive analytics strategy, generate insights from data, design dashboards, and collaborate with teams to optimize business performance.

The Anti Money Laundering Analyst monitors customer activity, completes reports, collaborates with teams, and ensures compliance with regulations.

As a Senior Data Engineer, you'll design and implement ETL/ELT pipelines, write Python code for data processing, and optimize SQL models. You'll collaborate with teams and improve data architectures to support AI and marketplace strategies.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

The Junior Data Engineer will work with data to enhance trading systems, support data warehouses, and collaborate on technical solutions with the team.

The Senior RCM Data Analyst leads revenue cycle analysis, oversees RCM analysts, and partners with leaders to enhance financial performance and operational efficiency. Responsibilities include developing reports and dashboards, identifying trends, and ensuring data accuracy.

Lead the design and development of scalable AWS data platforms, implement production-grade data pipelines, and provide technical direction to a team of data engineers. Define enterprise standards and ensure high-quality data products for analytics and reporting.