Top Analytics Jobs in San Francisco, CA
The Application Support Analyst will resolve customer issues with the SaaS platform, communicate with clients, troubleshoot applications, and collaborate with internal teams to develop solutions. Responsibilities include investigating code, coordinating problem resolution, monitoring systems, writing custom code, and participating in hiring efforts.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.
As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.
As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.
As a Data Visualization Consultant, you will design and develop analytics applications in BI platforms like Tableau and PowerBI, creating effective visualizations to meet healthcare clients' needs. Responsibilities include understanding client requirements, designing mockups, coaching organizations on best practices, and troubleshooting visualization issues.
The Smartsheet Analyst will develop and implement Smartsheet solutions, collaborate with client teams on workflow analysis, support existing applications, train team members, optimize solutions, ensure compliance, and assess potential improvements in a remote part-time capacity.
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
The Data Engineer Consultant at DAS42 is responsible for developing data integrations, implementing data warehouses and ETL pipelines, and optimizing clients' data environments. They work collaboratively on projects, document client data environments, and support the pre-sales process while utilizing technologies like Python and SQL alongside data visualization and cloud platforms.
The Senior Revenue Insights Analyst will drive business growth through data analysis and reporting. Responsibilities include understanding the data needs of the Customer Success organization, creating actionable dashboards, managing projects, and influencing strategic decisions based on business modeling and insights.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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