Top Hybrid Analytics Jobs in San Francisco, CA

The Disbursement Analyst manages disbursement processes and ensures timely, accurate payments while maintaining financial records. This role involves coordinating with various finance functions, managing accounts payable, assisting in audits, and preparing financial reports and analyses.

As a Data Analyst at Bitwise, you will design and optimize data architecture, ensuring accurate and efficient data handling. Your responsibilities include creating data pipelines, validating data integrity, and delivering insights from crypto market metrics. You will collaborate with analysts to enhance research quality and contribute to strategic product development.

The Data Scientist II role focuses on analyzing data to enhance Tinder's recommendation algorithms and improve user engagement. Responsibilities include A/B testing, designing experiments, building forecasting models, and reporting insights to influence strategic decisions across product, marketing, and engineering teams.

The Insights Analyst is responsible for analyzing data to provide actionable business insights, building reports and dashboards for sales teams, streamlining data usage through pipelines, and investigating performance trends. This role requires strong analytical skills and collaboration with cross-functional teams.

The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.

The Principal Solutions Architect will manage multiple project workstreams, design cloud data architectures, lead junior members, communicate with clients, and contribute to proposal developments, ensuring high-quality deliverables and client satisfaction.

As a Product Data Analyst at Inkitt, you will build and maintain reporting dashboards, conduct deep dives into user behavior, guide product development with insights, and support data infrastructure. You'll partner with product, engineering, and design teams, handle ad-hoc analyses, and lead experimentation efforts.