formulas and workbook architecture Familiarity with Workday data structures Experience serving as a point of contact for regional... ...Security More: We are seeking a detail-oriented Data Analyst III for a temporary lea…
Data Analyst jobs in San Francisco, CA
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
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Open data analyst roles
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interview process. About the Role The Senior GTM Insights Analyst is the strategic and analytical backbone of Gusto's GTM organization... ...the GTM org relies on, defining the metrics, definitions, and data sources that…
stakeholders to support complex commercial opportunities and drive business outcomes.Strong analytical skills with the ability to interpret data, identify trends, and develop actionable recommendations.Demonstrated abili…
Analytics Team Our People Analytics team distills insights from our data to drive informed workforce decisions across the organization.... ...and supports better business outcomes. The Staff Data Analyst People Analytics…
Senior Operations Data Analyst 6 MonthsOakland, CA, Hybrid (once a month onsite)Local candidates onlyEquipment: Client laptop will be provided. Any other required tools must be provided by the vendor.Top Things Looking F…
Job Title: Salesforce - Business Analyst You are an experienced Salesforce Business Analyst with a passion for solving complex business... ...business workflows to assist in stakeholder alignment* Capture data, reporting…
Agency: Customs and Border ProtectionDepartment: Department of Homeland SecuritySub agency: Office of Field OperationsSalary: Starting at $111,896 Per year (GS 12)Dates: Open 09/23/2026 to 09/29/2026Schedule: Full-timeWo…
partnering with a client to bring on a Senior Business Systems Analyst who will lead the buildout of a client reporting solution within... ...functional specifications and platform configuration requirementsPerform data…
About the roleAdobe’s Security Data Platform team builds and operates a petabyte-scale security data lakehouse that turns enterprise... ...make data ownership and governance traceable from raw events to analyst- facing d…
Job Title: Data Migration & Business Data Analyst Location: San Francisco, CA (Preferred) / Rocklin, CA Work Arrangement: Hybrid Monday to Thursday in-office, Friday work from home Duration: 6+ months Key Responsibilitie…
2027 July Analyst, Strategic Insights (SF) Position: Financial Technology Partners is seeking Full-Time Strategic Insights Analysts to... ...sizing analyses. Furthermore, you will leverage extensive market data to first…
Excellence Are you an experienced QA professional who knows how to mentor others and maintain a high bar for data integrity? Welo Data is seeking Data Quality Analysts for Project Perseus . This isn't just about labeling…
What data analysts earn in San Francisco
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $37–$54 | $77k–$112k |
| Mid level | $54–$71 | $112k–$147k |
| Senior | $67–$91 | $140k–$189k |
Adjusted for the San Francisco market from national ranges.
What employers ask for
The skills these listings keep naming
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
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