Senior Data Systems Analyst, Seller Analytics to Data Eng

Salesforce, Inc.; Seattle (WA); On-site; USD 99,000 - 150,000; Full time

Job summary

Salesforce, Inc. seeks a data-focused analyst on Seller Analytics to triage and resolve data issues in our Sales Data Mesh. You will reproduce problems, validate grain definitions, and provide clear resolution steps, while growing into data engineering responsibilities such as modeling and tests.

The role emphasizes data quality, governance, and collaboration with CRO Analytics, sales leaders, and finance partners. Training and growth into data engineering are part of the plan.

Qualifications

• Proficient in Tableau Desktop and/or SQL; ability to read, debug, and validate queries against real data.
• Strong investigate-and-triage instinct; comfortable working a problem until its cause is found.
• Familiarity with Snowflake or similar cloud data warehouses.
• Clear writing and ability to explain data issues, causes, and fixes to non-engineers.

Responsibilities

• Triage issues reported by consumers; reproduce problems, define grain and definitions, and provide clear next steps.
• Investigate data-quality and freshness across data layers; trace issues to models, sources, or pipelines.
• Run validation and parity checks when models change or logic is migrated; verify results.
• Monitor and act on alerts; track work in Linear; support launches and migrations; verify fixes in Snowflake.

Skills

Tableau Desktop

SQL

Data analysis

Communication

Tools

Snowflake

dbt

Monte Carlo

Airflow

Tableau

Cortex

Claude Code

Job description

Salesforce, Inc. seeks a data-focused analyst on Seller Analytics to triage and resolve data issues in our Sales Data Mesh. You will reproduce problems, validate grain definitions, and provide clear resolution steps, while growing into data engineering responsibilities such as modeling and tests.

The role emphasizes data quality, governance, and collaboration with CRO Analytics, sales leaders, and finance partners. Training and growth into data engineering are part of the plan.