Top Data & Analytics Jobs in San Francisco, CA
As a Junior Customer Data Scientist at Recast, you will develop automated data pipelines in R, perform data analyses, and present results to clients. You will work on understanding complex statistical models and contribute to measuring marketing effectiveness for major brands.
The Tax Technology Analyst will focus on tax technology design and implementation, including configuring tax compliance in NetSuite ERP and utilizing the AvaTax platform. Responsibilities include researching tax content, integrating APIs, troubleshooting tax issues, conducting audits, and identifying process improvements. The role also involves documenting project work and assisting the Tax Manager with tax requirements and solutions.
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The Data Engineer III is responsible for architecting and maintaining scalable tooling and infrastructure for data management, including building automated data pipelines and managing data storage. The role involves collaborating with Data Scientists for model improvements and ensuring data quality and availability, while also coaching teams on data-driven decision making.
As a Senior Data Scientist at Mercury, you will derive insights from data, collaborate with Revenue, Marketing, and Growth teams, and develop data-driven experiments to improve user experience. You will build data pipelines, conduct analyses, and leverage advanced analytics techniques to inform decision-making and support the sales process through data-driven recommendations.
The Disputes Analyst manages billing disputes and fraud activities, ensuring timely processing of chargebacks and customer inquiries. Responsibilities include analyzing documentation for chargeback eligibility, maintaining dispute inventory, collaborating with support teams, and recommending procedural changes to enhance efficiency.
As a Senior Data Scientist/DBA at SELF ID, you will manage data infrastructure, ensure data integrity and security, and analyze complex datasets to derive insights. You'll collaborate with various teams to drive data-driven decisions and develop innovative solutions, working remotely on cutting-edge technologies.
Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.
The Staff Data Engineer will collaborate with data analysts and scientists, building and managing data pipelines, designing databases, and driving data-driven decision-making across departments. Responsibilities include improving development processes and mentoring junior staff while engaging in impactful projects.
The Senior Data Engineer will be responsible for designing and developing a robust data ingestion platform utilizing Azure technologies. Duties include creating complex data pipelines, writing SQL queries, ensuring data quality, and collaborating with teams for data modeling and analysis while adhering to compliance policies and practices.
The Analyst, Growth at Evergreen Nephrology will be responsible for coordinating efforts to develop value-based partnerships with health plans and risk-bearing entities. This role involves analyzing internal and external data, managing growth program activities, creating financial pro formas, documenting insights, and interacting with potential clients.
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