# Seller Analytics Engineer

**Company**: Salesforce
**Location**: Seattle, Washington
**Job type**: full-time
**Salary**: $99,400 - $150,300 annually
**Category**: Engineering
**Industry**: Technology

**Apply**: https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/Washington---Seattle/Data-Systems-Senior-Analyst---Seller-Analytics_JR363794?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2aff38ac-ef4

## Description

Join the Seller Analytics team in Salesforce's Digital Enterprise Technology organization. We build and run the Sales Data Mesh: our governed, certified data products for Sales, covering our Pipeline Metrics, Annual Order Value, AE and Product Participation, Product Usage, and more.

**Responsibilities**

- Triage issues reported by consumers in Slack support channels. Reproduce the problem, establish the grain and definitions involved, and give a clear answer or next step.

- Investigate data-quality and freshness problems across the bronze to gold layers. Trace a wrong or missing number back to the model, source, or pipeline run that caused it.

- Run row-level and column-level validation and parity checks when models change or legacy logic is migrated, and confirm the results match.

- Watch monitoring and alerting (Monte Carlo, dbt tests, source freshness) and act on failures. Open and track the work in Linear.

- Support hypercare and UAT for launches and migrations. Verify fixes in Snowflake and keep stakeholders updated on status.

- Keep definitions, grain, and known issues documented so the next question is faster to answer.

**Growth Opportunities**

- This is an operate-and-support role today, with a deliberate path into data engineering. As you build SQL and dbt depth, you will take on model changes and tests, and in time build and own mesh data products.

**Requirements**

- Proficient in Tableau Desktop and/or SQL and can read, debug, and validate queries against real data.

- An investigate-and-triage instinct. Comfortable not knowing the answer yet and work a problem methodically until finding the cause.

- Comfortable in Snowflake or a similar cloud data warehouse.

- Clear communication in writing and ability to explain a data issue, its cause, and its fix to a non-engineer.

- Willingness to grow into data engineering and be trained on the rest.

**Nice to Have**

- Experience with dbt or a similar transformation framework.

- Familiarity with data observability or monitoring tools (e.g., Monte Carlo).

- Understanding of dimensional modeling, grain, and surrogate keys.

- Experience with migration or parity work: replacing legacy logic and proving new results match.

- Knowledge of Airflow, Tableau, or Snowflake semantic views and Cortex.

- Experience with AI-assisted engineering tools such as Claude Code.

**Benefits**

- Time off programs

- Medical, dental, vision

- Mental health support

- Paid parental leave

- Life and disability insurance

- 401(k)

- Employee stock purchasing program

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Tableau Desktop
- SQL
- Snowflake
- data engineering
- dbt

### Nice to have
- Monte Carlo
- dimensional modeling
- Airflow
- Tableau
- Snowflake semantic views
- Cortex
- Claude Code

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Source: [Apply at salesforce.wd12.myworkdayjobs.com](https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/Washington---Seattle/Data-Systems-Senior-Analyst---Seller-Analytics_JR363794?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)