Data Systems Senior Analyst — Seller Analytics

Momentum; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Salesforce's Seller Analytics team within Digital Enterprise Technology is seeking a triage-focused data analyst to ensure trusted data across the Sales Data Mesh. You will reproduce issues, define grain/definitions, and provide clear next steps to consumers of the dashboards and metrics.

Over time, you will grow into building data products and expand depth in SQL/dbt, with exposure to Airflow and Snowflake.

Qualifications

• Proficient in Tableau Desktop and/or SQL; can read, debug, and validate queries against real data.
• Investigation-and-triage instinct; able to work methodically until cause is found.
• Comfortable in Snowflake or a similar cloud data warehouse.
• Clear written communication to explain a data issue, its cause, and its fix to a non-engineer.
• Willing to grow into data engineering and be trained on the rest.

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.

Skills

Tableau

SQL

Investigation & triage

Snowflake

Data quality

Tools

dbt

Airflow

Tableau

Snowflake

Job description

The Experience

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. Our consumers are the CRO Analytics team, sales leaders across the globe, and our partner analytics teams in Finance, Revenue, and Marketing.
Our consumers rely on those data products, and this role keeps them trustworthy. You are the first responder; when a consumer reports that a number looks wrong, a dashboard is stale, or a pipeline did not land, you reproduce the problem, find the cause, and resolve-or-route it with a clear writeup. It is an investigate-and-triage role first. Over the first year we will train you to move from operating the mesh to building it, growing into a data engineering role. We are hiring for someone who wants that path.

What You'll Actually Be Doing

• 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.

Where This Role Grows

• 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. If you want to become a data engineer, this role is built for that.

You're Our Person If…

• You are proficient in Tableau Desktop and/or SQL and can read, debug, and validate queries against real data.
• You have an investigate-and-triage instinct. You are comfortable not knowing the answer yet and work a problem methodically until you find the cause.
• You are comfortable in Snowflake or a similar cloud data warehouse.
• You communicate clearly in writing and can explain a data issue, its cause, and its fix to a non-engineer.
• You want to grow into data engineering and are ready to be trained on the rest.

Even Better If…

• You have used dbt or a similar transformation framework.
• You have worked with data observability or monitoring tools (e.g. Monte Carlo).
• You understand dimensional modeling, grain, and surrogate keys.
• You have done migration or parity work: replacing legacy logic and proving the new results match.
• You have used Airflow, Tableau, or Snowflake semantic views and Cortex.
• You have used AI-assisted engineering tools such as Claude Code.