Description
Overview
Looking to bring on a strong, technical analyst to our Regulated Industries - Central Strategy Team who will be responsible for producing and maintaining the team's data infrastructure, conducting both ad-hoc and cyclical business analyses, and plugging in to support our stakeholder, Mark Sullivan wherever needed.
Core Traits
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
Work Ethic & Drive
- 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
Analytical & Strategic Thinking
- 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
Data Analytics Experience
- 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, Salesforce Systems, Org62 a plus
- Background in Python or R is a plus for more advanced statistical analysis
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
Preferred Background
- 1-3+ years of experience in data analytics, strategy & operations, management consulting, or a related field
- 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
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.