Top Senior Data & Analytics Jobs

This role leads a team to analyze and improve GTM revenue strategies, ensuring measurable and predictable performance through data insights and analytics. Responsibilities include managing analytics projects, establishing metrics, and collaborating with cross-functional teams to enhance business performance.

The Senior Cryptocurrency Analyst will drive operations in data analysis, investigate cryptocurrency transactions, and improve operational effectiveness through data processing and technical tools.

The role involves analyzing large datasets to generate insights, measuring business performance, and optimizing processes by collaborating with product owners and internal partners.

The Senior Analyst will drive e-commerce performance through data analysis, optimizing network strategies, managing projects, and providing actionable insights across various teams.

The Senior Data Analyst will transform the internal audit function using data analytics, automate audit processes, and create visualizations for risk monitoring.

The Senior Data Analyst in Internal Audit will utilize SQL and Python for data analysis, create visualizations in ThoughtSpot, and collaborate with teams to enhance auditing processes through data-driven insights.

As a Senior Fraud Data Analyst, you'll analyze fraud risk data, automate reporting, enhance insights, and support compliance efforts within the bank.

As a Senior Data Engineer, you will design data pipelines, manage databases, optimize data workflows, ensure data integrity, and collaborate with cross-functional teams on data-driven solutions.

The candidate will develop reporting, identify insights, and lead analytics initiatives by collaborating with teams to optimize data solutions and drive business growth.

Lead migration of enterprise reporting from MicroStrategy to Tableau Cloud, define BI architecture, ensure performance and quality, and support data governance.

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