Top Senior Level Data & Analytics Jobs

Responsible for designing and implementing analytic insights, developing data products, translating analytics into narratives, and mentoring analysts within the Data Analytics and Reporting team for Wholesale Operations.

The role involves developing quantitative models and tools for equities risk management and trading, collaborating with teams, and delivering high-quality software.

The candidate designs, develops, and manages systematic market-making algorithms for electronic trading, conducting quantitative research and back-testing strategies to optimize performance and manage trading risks.

Analyze fraud patterns in loan applications, develop prevention strategies, collaborate across teams, conduct investigations, and utilize data analytics tools.

As a Senior Data Analyst, you will analyze data to provide insights that support operational and strategic decisions, utilizing tools like SQL and Tableau.

The Lead Analyst for Operational Strategy will enhance underwriting efficiency by partnering with leadership, leading analysis, optimizing processes, and mentoring junior analysts.

The Director of Data Science & Analytics will manage a team, drive analytics vision, enhance product outcomes, and partner with executives.

The Senior Business Intelligence Analyst will analyze business data, develop dashboards, automate reporting processes, and provide insights to drive strategic decisions within the organization.

Lead Chime's Growth Product Analytics team, overseeing performance measurement and experimentation, collaborating across departments to enhance member acquisition and retention.

Lead forecasting efforts for core business metrics including user growth and deposit volumes, evolve analytics tools, and support decision-making through insights.

The Senior Data Analyst will perform strategic analyses, develop key business metrics, and collaborate with various stakeholders to interpret data related to Chime's performance and member interactions.

Lead the Internal Audit Data Solutions program by applying data analytics and AI-driven solutions to enhance audit capabilities and risk management. Collaborate with teams to develop data-driven testing and automation in auditing processes, while recommending tools and methodologies for improved efficiency.

The role involves analyzing business needs, designing Salesforce solutions, facilitating requirement gathering, and providing post-implementation support. Responsibilities include collaborating with stakeholders, optimizing business processes, and ensuring the effective adoption of solutions.

Design, build, and support real-time event streaming platforms. Collaborate with teams to ensure scalable, reliable integration for data pipelines.

As an Analytics Engineer, you will lead data modeling efforts, work on cross-functional projects, and collaborate with stakeholders to improve decision-making through better data management. You will build efficient data models and support organizational effectiveness using analytics.