Top Hybrid Data & Analytics Jobs

As a Customer Analytics Associate, you will analyze customer journeys, report on campaign performance, perform customer segmentation, design A/B tests, and implement data-driven retention strategies, collaborating with cross-functional teams to enhance marketing effectiveness.

As an Analyst II in Underwriting, you will analyze enterprise customer applications focusing on business models, credit exposure, and financial statements. Your role involves conducting assessments, preparing risk summaries, collaborating with various teams, and representing underwriting in customer interactions.

The Senior Data Engineer will design, build, and maintain scalable data pipelines, monitor data infrastructure for performance, and collaborate with teams to optimize and manage data workflows. The role emphasizes data integration, compliance, and performance tuning to enhance Kiddom's educational technology platform.

The Machine Learning Engineer will gather requirements, model data, develop algorithms, and optimize metrics for mobile analytics. They will collaborate with cross-functional teams to enhance Sensor Tower's product offerings and conduct advanced customer request support, while analyzing and identifying relationships in complex data.

As a Senior Data Engineer, you will lead technical design and project execution for major initiatives, write high-quality production code, and mentor other engineers. Your responsibilities will include building and deploying data pipelines and machine learning models, while collaborating with project managers and other engineers to enhance our data-driven product.

The Data Engineer will design and maintain robust data sets, ensuring data quality and performance for Plaid's data systems. Responsibilities include building data workflows using SQL and Python, collaborating with cross-functional teams, and advocating for industry-standard tools and practices. The role requires significant experience managing large data pipelines and evolving analytics schemas.

The Senior Data Analyst will design reporting infrastructure, analyze data to create insightful reports, and support business decisions through strategic analyses. Responsibilities include data extraction, modeling, validation, and collaboration with stakeholders to enhance business operations and identify opportunities for growth.