Senior Data Analyst, Salesforce

• 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

Desirable

• 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
• 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