> Markdown version of [/jobs/ext/2014257-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/2014257-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Salesforce.com, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $123,100.0 - $186,300.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Relational Databases, Salesforce.Com, SQL Databases, Tableau (Software), Snowflake, Data Management - **Published:** August 10, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17881082?backUrl=%2Fcareer%2F17881082%2FSenior-Data-Analyst-California-San-Francisco ## About the Role * Tableau-savvy - Deep experience building Tableau dashboards; Tableau Next experience a plus, or strong readiness to ramp on it * Data Driven - Comfortable with SQL and querying relational databases like Snowflake * A Builder at Heart - You thrive in ambiguous, 0-to-1 environments and want to help stand up a data foundation from scratch * Detail-Oriented - Care about metric consistency, documentation, and getting definitions right, since these become the standard others build on * A Clear Communicator - Can translate data into insights stakeholders can act on * Advanced dbt experience * Strong Snowflake experience * Semantic modeling expertise * Advanced Tableau modeling experience * Tableau Next semantic layer experience Even Better If: * Experience with Salesforce Data Cloud or Salesforce CRM analytics * Familiarity with dbt or semantic-layer concepts * Exposure to RLS/access-controlled dashboards ## Description We are the CCO Product Strategy team - a newly formed and fast-growing group within Salesforce's Chief Customer Officer (CCO) organization. We sit at the intersection of product, data, and strategy, and we're building our data capability from the ground up. This is a rare opportunity to join at the foundation stage and directly shape how our team harnesses data to drive customer success outcomes across the Salesforce ecosystem. Our stack: Tableau Next, Snowflake, and Salesforce Data Cloud. Our mission: build the gold standard for data products that power CCO and Customer Success strategy. What You Will Be Building * Self-Serve Dashboards & Reports - Build and maintain dashboards in Tableau Next that serve as a reliable, self-serve source of truth for stakeholders across shelfware, MCP adoption, and P&L metrics * Metric Standardization - Help standardize metric definitions and maintain the semantic layer within the data product, working alongside the Analytics Engineer * Analysis & Insights - Turn ad-hoc stakeholder questions into fast, credible analysis, and contribute to broader insights delivery for CCO and Customer Success leadership * Data Stewardship - Partner directly with stakeholders to resolve reporting issues and keep improving the reporting experience. You will own the dbt semantic layer and metric governance end-to-end, and own metric catalog covering key P&L metrics and product adoption metrics ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)