Top Senior Data & Analytics Jobs

The Senior Business Intelligence Analyst will design ETL pipelines, develop dashboards/reports, collaborate on data solutions, and improve data processes for better decision-making.

The role involves facilitating workshops, supporting testing, data validation, and troubleshooting MDG MM issues while ensuring data quality across business processes.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

The Senior Distressed Debt Reporter will break news on corporate restructurings, collaborate with journalists and analysts, and identify market trends in distressed debt.

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

Lead the development of scalable data platforms and analytics systems, overseeing teams in building data pipelines, advanced algorithms, and dashboards for data-driven decision making.

The Senior Data Analyst will perform hands-on analytical work using SQL, design A/B tests, develop dashboards, and partner cross-functionally to drive data-informed decision-making across various teams.

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.

Lead client-facing technical engagements for the Enterprise Data Platform, advising on data pipeline design, data quality, and governance standards, while mentoring teams to become self-sufficient in data engineering practices.

Lead subscription analytics for SoFi Plus: define engagement/retention metrics, run deep-dive analyses and experiments, build scalable data pipelines and ML models, create executive dashboards, and influence product strategy to grow subscription value.

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.

Lead and grow a data science team to optimize lending funnels, run experimentation and statistical analyses, build reports/dashboards and data marts, partner with Product/Engineering/Finance, and translate insights to senior leadership to inform product decisions.