Data Systems Senior Analyst - Seller Analytics

Salesforce; Washington; On-site; USD 90,000 - 130,000; Full time

Job summary

Salesforce, Inc. is seeking a candidate to join the Seller Analytics team within Digital Enterprise Technology. You will triage data issues, reproduce problems, and coordinate fixes across our data mesh in Snowflake.

Over the first year you will be trained to move from operating the mesh to building it, growing toward a data engineering role. Collaboration spans CRO Analytics, global sales leaders, and partner analytics teams.

Qualifications

• Proficient in Tableau Desktop and SQL, able to read and validate queries against real data.
• Investigate-and-triage instinct; methodical problem solving until root cause is found.
• Comfortable in Snowflake or similar cloud data warehouse.

Responsibilities

• Triage issues reported by consumers in Slack support channels. Reproduce, define grain, and provide clear next steps.
• Investigate data-quality and freshness problems across the bronze to gold layers; trace back to model/source/pipeline.
• Run row-level and column-level validation and parity checks when models change or logic migrates; verify results.
• Monitor and respond to alerts (Monte Carlo, dbt tests, source freshness); open and track in Linear.
• Support hypercare and UAT for launches and migrations; verify fixes in Snowflake and update stakeholders.
• Document definitions, grain, and known issues for faster future answers.

Skills

Tableau Desktop

SQL

Tools

Snowflake

dbt

Monte Carlo

Airflow

Cortex

Tableau

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Enterprise Technology & Infrastructure

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .

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