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Top Data & Analytics Jobs in San Francisco Bay Area, CA
As a Staff Data Scientist at Upstart, you will leverage your expertise in data science to analyze model performance, identify improvement opportunities, and collaborate with research scientists to develop innovative models. You will communicate findings to stakeholders through detailed reports and conduct ad hoc analyses, playing a crucial role in the success of Upstart's Machine Learning team.
The Staff Analyst, Growth Analytics will analyze and interpret data to guide growth strategies, collaborate with teams across the company, and enhance data infrastructure. Responsibilities include setting analytic frameworks, conducting experiments, and mentoring other analysts.
The Variant Scientist will classify somatic and germline variants, analyze clinical molecular data using in-house tools, and generate high-quality clinical reports. The role includes curation of variants and genes, quality control of molecular reports, and training junior team members while supporting improvements in processes.
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The Senior Analyst, Revenue Analytics at Navan will design and build sales reporting tools, collaborate on analytic projects, support business review processes, and analyze operational metrics for the field sales team. The focus will be on enhancing efficiency and guiding business decisions through data insights.
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The Technical Services Analyst at Dynatrace is responsible for troubleshooting IT issues, managing service requests, and supporting the technical needs of users. The role involves asset management, participating in IT improvements, and collaborating with peers to enhance operational efficiency.
The Senior Data Scientist in Risk & Fraud at Cash App will analyze large datasets, use machine learning techniques, and collaborate with cross-functional teams to optimize risk management and enhance customer experience. Responsibilities include conducting A/B experiments, building dashboards, and communicating findings effectively to stakeholders.
As a Senior Analyst in Marketing Science & Analytics at Square, you will enhance marketing measurement systems through attribution and media mix modeling. You'll collaborate with cross-functional teams to maintain key performance indicators, analyze marketing experiments, and improve data infrastructure, while ensuring the integrity of analytics insights for better decision-making.
The Senior Data Analyst will drive data-informed decision-making by overseeing dashboards, ensuring data quality, and maintaining key metrics. Responsibilities include collaborating with product managers and engineers, evaluating marketing activities, and developing databases and dashboards to analyze data effectively.
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As a Principal Data Scientist at Atlassian, you will analyze customer data to identify areas of friction and improve product quality. Responsibilities include influencing business strategy, building measurement frameworks, and mentoring data scientists. Extensive experience in data science, machine learning, and statistical analysis is required.
As a Principal Data Scientist at Atlassian, you will apply quantitative analysis and storytelling with data to develop strategies and solve business challenges. Collaborating with cross-functional teams, you'll identify opportunities for product improvement, measure success, and influence strategic decisions through insights and analytics.
In this role, you will drive the Pricing Insights and Analytics roadmap, build tools for the pricing team, deliver actionable insights through advanced research techniques, support analytical needs of stakeholders, and mentor a team. This involves collaboration with product leaders and central data teams to fulfill pricing analytics requirements.
As a Senior Manager in Data and Analytics at PwC, you'll lead data solutions, build efficient data systems, mentor teams, and drive business growth through strategic advisory and technology implementation. You'll manage complex projects, ensure data integrity, and contribute to innovative technology strategies while enhancing client relationships.
Lead and manage the Marketing Analytics team at Hims & Hers, driving insights and recommendations to maximize ROI and customer lifetime value. Analyze data from various sources, implement frameworks, and collaborate with marketing and data science teams. Ensure effective communication of analysis results to leadership and drive the use of analytics in strategic decision-making.
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