{"id":3698613,"url":"https://alion.io/job/salesforce-data-systems-senior-analyst-seller-analytics","title":"Data Systems Senior Analyst — Seller Analytics","company":{"id":70,"name":"Salesforce","domain":"salesforce.com","url":"https://alion.io/company/salesforce","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":350,"ghost_share":0.02,"stale_share":0.68,"repost_share":0.043,"time_to_fill_p50_days":31,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":99400,"max":150300,"currency":"USD","period":"year","gross":null,"usd_annual":150300},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Slack","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-11-03T18:48:03Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T10:29:24Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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.\nJob Category\nEnterprise Technology & InfrastructureJob Details\nAbout Salesforce\nSalesforce 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.\nReady 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.\nThe Experience\nJoin 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.\nOur 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.\nWhat You'll Actually Be Doing\nTriage 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.\nInvestigate 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.\nRun row-level and column-level validation and parity checks when models change or legacy logic is migrated, and confirm the results match.\nWatch monitoring and alerting (Monte Carlo, dbt tests, source freshness) and act on failures. Open and track the work in Linear.\nSupport hypercare and UAT for launches and migrations. Verify fixes in Snowflake and keep stakeholders updated on status.\nKeep definitions, grain, and known issues documented so the next question is faster to answer.\nWhere This Role Grows\nThis 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.\nYou're Our Person If…\nYou are proficient in Tableau Desktop and/or SQL and can read, debug, and validate queries against real data.\nYou have an investigate-and-triage instinct. You are comfortable not knowing the answer yet and work a problem methodically until you find the cause.\nYou are comfortable in Snowflake or a similar cloud data warehouse.\nYou communicate clearly in writing and can explain a data issue, its cause, and its fix to a non-engineer.\nYou want to grow into data engineering and are ready to be trained on the rest.\nEven Better If…\nYou have used dbt or a similar transformation framework.\nYou have worked with data observability or monitoring tools (e.g. Monte Carlo).\nYou understand dimensional modeling, grain, and surrogate keys.\nYou have done migration or parity work: replacing legacy logic and proving the new results match.\nYou have used Airflow, Tableau, or Snowflake semantic views and Cortex.\nYou have used AI-assisted engineering tools such as Claude Code.\nUnleash Your Potential\nWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what’s possible - for yourself, for AI, and the world.\nAccommodations\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.\nPlease 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.\nPosting Statement\nSalesforce 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.\nIn 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. 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