Data Systems Senior Analyst — Seller Analytics

100 Salesforce, Inc.; Seattle (WA); Presencial; USD 99.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Time off programs

Medical insurance

Dental insurance

Vision insurance

Mental health support

Descripción de la vacante

Salesforce is seeking a data-oriented professional to join the Seller Analytics team in Digital Enterprise Technology. You will triage data issues, reproduce root causes, and guide remediation across the data mesh that covers Pipeline Metrics, Annual Order Value, and more.

The role offers a clear path from operations to data engineering as you deepen SQL/dbt skills and cloud data warehousing expertise. You’ll work with Tableau Desktop, Snowflake, and other data tooling to ensure accuracy and

Formación

• Proficient in Tableau Desktop and/or SQL; can read, debug, and validate queries against real data.
• Comfortable in Snowflake or a similar cloud data warehouse.
• Eager to grow into data engineering and build/own mesh data products.

Responsabilidades

• Triage issues reported by consumers in Slack support channels.
• Reproduce problems, establish grain and definitions, and provide clear next steps.
• Investigate data-quality and freshness across the data pipeline from bronze to gold.
• Trace wrong/missing numbers to model, source, or pipeline run.
• Run row-level and column-level validation and parity checks when models change.
• Monitor and act on failures using tools like Monte Carlo, dbt tests, and source freshness.
• Open and track work in Linear and support hypercare and UAT for launches and migrations.
• Verify fixes in Snowflake and keep stakeholders updated.

Conocimientos

Tableau Desktop

SQL

Data validation

Herramientas

dbt

Airflow

Snowflake

Tableau

Cortex

Monte Carlo

Descripción del empleo

Job Category Enterprise Technology & Infrastructure Job Details 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. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including:

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• and an employee stock purchasing program

The typical base salary range for this position is $99,400 - $150,300 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place.