journey, commercializing Sensing as a Service and enabling “Intelligence for Everyday Thing”. About the Role We are looking for a Data Solutions Team Lead to join our delivery teams and work closely with customers on rea…
Engineering & IT · San Francisco, CA
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.
845
Open roles today
$37–$91/hr
Typical pay range
$129k
Median, full-time
5
Fresh in this list
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01
Open data analyst roles
12 shown of 845 · sorted by freshness
work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analyti…
$45.33 per hour
job summary: We are seeking an experienced Senior Data Analyst to drive enterprise business intelligence, executive reporting, and operational analytics. In this role, you will partner with cross-functional leadership to…
$145k - $170k
happening in the business, why it is happening, and what to do next. Data and Business Insights at Philo Data underpins nearly every... .... The Role We're looking for a Senior Business Insights Analyst to help Philo mak…
verification, analysis, interpretation, organization, quality control, storage and mapping of broadband eligibility and subscriber data used to evaluate location eligibility, income and other data for determining project…
JOB SUMMARY The Division of Geriatrics seeks to recruit a full-time Data Analyst to support the Cognitive Health Assessment Metrics Post Positive Screen (CHAMPPS) project to focus on data collection, organization, manage…
Job Title: Data Analyst (Excel) Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and pe…
$85k - $110k
Data Analyst Company Description Sagetap is a rapidly growing startup changing how enterprise technology executives discover and evaluate software. Our AI-driven platform anonymously connects tech buyers with the industr…
$75 - $85 per hour
partnering with a leading healthcare technology company to hire a Data Engineer, Consultant for its Data Services team. This... ...model, collaborating closely with solution leads, data modelers, analysts, and business p…
$25 - $28 per hour
Job Description Job Description Job Title : Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANAL…
Job Description Job Description Role Overview Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you’ll not only analyze data to gene…
$38 per hour
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…
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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.
03
What employers ask for
The skills these listings keep naming
SQLExcel / Google SheetsTableau, Power BI, or LookerBasic statisticsPython or R (a plus)Data cleaningDashboard designPresenting findings clearlyBusiness domain knowledge
04
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.
05
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
01
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
02
List SQL first and honestly grade your level; it is the single most tested skill for this role.
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Name the BI tools you have shipped dashboards in, and how many people relied on them.
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Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
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A small portfolio of public analyses with clear write-ups can offset limited job experience.
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Where this role goes
Typical progression
01
Junior Data Analyst
02
Data Analyst
03
Senior Data Analyst
04
Analytics Manager
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