Sales Strategy Senior Analyst

Salesforce•San Francisco, CA

About The Position

Salesforce is seeking a strong, technical analyst for its Regulated Industries - Central Strategy Team. This role will be responsible for producing and maintaining the team's data infrastructure, conducting both ad-hoc and cyclical business analyses, and supporting stakeholders. The ideal candidate will have technical aptitude, be AI-native, possess a strong work ethic, and demonstrate analytical and strategic thinking. Experience with data analytics platforms like Tableau and Snowflake, familiarity with sales metrics and Salesforce Systems, and a background in Python or R are beneficial. The position requires proficiency in SQL for querying and manipulating large datasets, understanding data modeling concepts, and performing data cleaning and transformation. The candidate should be comfortable framing ambiguous business questions into structured analytical problems and synthesizing quantitative findings into clear narratives. This role is part of the Agentforce initiative, focusing on the future of AI in customer success.

Requirements

Technical Aptitude
Comfortable working with large, complex datasets and translating raw data into actionable insights
Proficient in querying and manipulating data using SQL
Able to write complex joins, subqueries, aggregations, and window functions
Strong understanding of data modeling concepts and database structures
AI Native - comfortable and proactive in usage + discovery of AI tools to streamline tools and processes wherever possible
Highly self-motivated with a strong sense of ownership over their work
Comfortable managing multiple priorities and delivering under tight deadlines
Detail-oriented - takes care to validate outputs and catch errors before presenting findings
Proactive in identifying problems and proposing solutions without waiting to be asked
Collaborative team player who also thrives working independently
Able to frame ambiguous business questions into structured analytical problems
Synthesizes quantitative findings into clear, compelling narratives for stakeholders
Thinks beyond the numbers — connects data insights to broader sales strategy
Comfortable forecasting, and scenario modeling
Experience working in a data analytics platforms, namely Tableau and Snowflake
Track record of building and maintaining dashboards and reports that stakeholders rely on
Familiarity with sales metrics
SQL Proficiency
Able to independently write and optimize SQL queries across relational databases
Comfortable working with normalized schemas and understanding data lineage
Able to perform data cleaning, transformation, and validation using SQL
Experience with version-controlled SQL scripts and query documentation best practices
Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Business Analytics) preferred
Strong communication skills. Able to present findings clearly to both technical and non-technical audiences

Nice To Haves

Salesforce Systems, Org62 a plus
Background in Python or R is a plus for more advanced statistical analysis
1-3+ years of experience in data analytics, strategy & operations, management consulting, or a related field

Responsibilities

Produce and maintain the team's data infrastructure.
Conduct ad-hoc and cyclical business analyses.
Support stakeholders wherever needed.
Query and manipulate data using SQL, including complex joins, subqueries, aggregations, and window functions.
Build and maintain dashboards and reports.
Frame ambiguous business questions into structured analytical problems.
Synthesize quantitative findings into clear, compelling narratives for stakeholders.
Connect data insights to broader sales strategy.
Perform forecasting and scenario modeling.
Perform data cleaning, transformation, and validation using SQL.
Write and optimize SQL queries across relational databases.
Work with normalized schemas and understand data lineage.
Practice version-controlled SQL scripts and query documentation best practices.