Top Hybrid Data & Analytics Jobs

The role involves analyzing large datasets to ensure compliance, translate analyses into insights for stakeholders, and improve compliance processes through data solutions.

The Sr Associate, Collections will lead the development of collections strategies, drive performance management, mentor analysts, and partner with cross-functional teams to improve customer outcomes and financial analytics.

The Data Manager oversees database performance, ensures data accuracy, and supports stakeholders with data strategies. Responsibilities include monitoring databases, providing training, and collaborating with cross-functional teams to optimize data quality and implement governance policies.

As a Business Analyst, you will analyze data, create insights, support Sales and Account Management teams, and present findings to stakeholders.

The Lead Analyst will track and analyze performance metrics in digital commerce, leading strategic projects to enhance seller experiences and marketplace performance.

The Senior Analyst will support TransUnion's Alternative Data operations, monitor data quality, troubleshoot issues, and maintain customer service standards.

As a Lead Digital Operations Support Analyst, you'll oversee the introduction and performance of digital products, ensuring readiness, monitoring early-life performance, resolving issues, and enhancing customer experience through effective communication and technical leadership.

The Senior Analyst will drive data-informed risk strategy on the Financial Crimes & Identity team, focusing on identity verification and lifecycle risk management. Responsibilities include analyzing risk metrics, developing risk strategies, and collaborating with cross-functional teams to optimize decisioning logic and controls.

The Senior Data Analyst will drive product optimization by analyzing performance metrics, lead quality, and customer retention data to support strategic decision-making for the Real Pro Select product line.

As a Data Engineer at DISQO, you'll design and develop data pipelines, collaborate with teams, and optimize data processes using modern technologies, focusing on building scalable data products.