Top Data & Analytics Jobs in San Francisco Bay Area

The Analytics Community Manager at ServiceNow is responsible for building and engaging a community of data professionals, curating content, networking, organizing events, gathering feedback, and providing insights to leadership.

As an Analytics Community Manager at ServiceNow, you will be responsible for building and engaging a community of data professionals, curating content, networking, organizing events, gathering feedback, and providing insights to leadership. This role focuses on fostering connections and collaboration within the data community.

Responsible for defining and driving data governance within the Finance organization. Partnering with leaders and process owners to implement data policies and standards. Developing strategies to ensure data accuracy and quality through automation and maintenance of data dictionary.

Seeking a People Analytics Manager to build a People Analytics function from scratch, partnering with multiple functions to design and improve data systems, workflows, and processes. Responsibilities include data visualization, analysis, cross-functional collaboration, consulting, modeling, and reporting.

Seeking a Senior Manager of Data Science to develop a world-class team, build strong stakeholder relationships, and drive growth using data insights. Responsibilities include tying data science projects to business problems, breaking down projects, resilience, and coaching a team. Required skills include team management, results-driven mindset, adaptability, and technical proficiency in Python, SQL, and analytics.

The Senior Research Scientist at Opendoor will focus on developing customer-facing data projects and research to optimize home rentals and sales. Responsibilities include developing data products, conducting analyses, creating marketing materials, and elevating technical proficiency within the team.

The SOX Analyst will play an integral role in enhancing the effectiveness, efficiency, and scalability of the Company's business processes and controls, whether through the SOX compliance efforts or by conducting special projects. This team member will have an understanding of financial reporting and SOX requirements and methodologies.

Lead Data Scientist responsible for leading data science projects around consumer pricing, incentives & offers, and insurance. Providing mentorship to peers, building forecasting systems, and supporting the technical roadmap.

Lead Data Scientist role at GoodRx, responsible for leading data science projects around consumer pricing, incentives, and insurance. Must have 6+ years of data science experience with a strong technical background in machine learning and statistical modeling. Fluency in Python and experience with AWS and DataBricks required.

Lead the measurement and evaluation of marketing activities to drive a greater understanding of impact on brand health and improve efficiency of marketing investments.

As a Business Intelligence Engineer, you will democratize data and drive data-obsessed decision making for all employees by building and managing Chime's Looker instance. Responsibilities include creating dashboards, presenting insights to stakeholders, building ETL workflows, and more. Requires 3+ years of BI engineering experience and expertise in Looker, MPP database technologies, and data pipelines.

Lead the AI strategy for various business challenges, become a Subject Matter Expert, architect and build innovative models and systems, collaborate with data scientists and engineers, stay at the forefront of AI landscape, engage with the data community, promote best practices, mentor and coach data scientists and engineers.

Work as a Senior Data Scientist in the Creator Success team at Roblox, partnering with product and engineering teams to support creators in scaling and monetizing their content. Use data and insights to drive growth and influence product development. Define metrics, track progress, and evaluate A/B experiments for product feature launches.

Join Roblox as a Data Scientist in the Payments & Subscriptions domain. Use data science and analytics to shape business decisions, drive product innovations, and improve user experiences. Collaborate with engineers and product managers to design payment offerings and systems. Lead in experimental design, data analysis, and modeling to achieve strategic objectives.

Collaborate with Agile teams to design, develop, test, and support technical solutions using full-stack development tools and technologies. Share tech trends, experiment with new technologies, and mentor engineering community members. Deliver cloud-based solutions for financial empowerment. Conduct unit tests and code reviews to ensure performance efficiency.

Principal Data Scientist role at Capital One's AI Training Team leading disruptive initiatives in data-driven decision-making and machine learning technologies.