acumen and can independently translate ambiguous business questions into measurable frameworks and insights. Analyze Acrobat funnel data (traffic trial/download conversion retention) across surfaces, geos, and plan types…
Engineering & IT · San Jose, CA
Data Analyst jobs in San Jose, 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.
621
Open roles today
$37–$89/hr
Typical pay range
$128k
Median, full-time
3
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01
Open data analyst roles
12 shown of 621 · sorted by freshness
Position: Data & Governance Consultant Location: Milpitas, CA Contract Key Responsibilities POC Planning & Requirements Gathering Participate in project kickoff and planning activities. Conduct stakeholder interviews (up…
WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model... ...and operationally focused Supply Chain Planning Principal Data Analyst to lead the dev…
$108.8k - $145.2k
buyers discover relevant, high-quality items, and accelerate growth through innovative advertising solutions. We are hiring a Data Science Analyst to partner closely with the eBay Advertising Product team. In this role,…
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in F…
$71.78k - $151.11k
and overseeing day-to-day Human moderation activities. Our mission is to transform moderation from a labor-intensive process into a data- driven, system-powered operation that balances efficiency and accuracy, enabling T…
Job Description: We are looking for early-career Data Analytics / Data Science professionals who are passionate about working with data and deriving meaningful insights. Candidates with internship experience, academic pr…
connect people and build communities to create economic opportunity for all. About the team and the role eBay, Inc. seeks Data Science - Analyst 2 in San Jose, CA What you will accomplish Job Duties: Collaborate with cro…
$85k - $95k
Job Title: Insights Analyst Compensation Range: $85-95K base + 10% Bonus (Depending on Experience) This role is remote... ...of foresight. Position Overview Quid Analysts are data storytellers that use insights to create…
$48 - $55.61 per hour
Job Title: Senior Sourcing Supplier Data Analyst Location: San Jose, CA Type: Contract Compensation: $48-55.61/hr Contractor Work Model: Hybrid oin a fast-paced, innovation-driven medical technology organization where st…
Description Job Description Description This position is ideal for senior-level data engineering professionals to join the Product Analytics team as a Sr. Data Engineer/Data Analyst. You will drive the design, developmen…
Job Description Job Description TITLE: IT DATA ANALYST/ TECHNICIAN POSITION: FULL TIME/DIRECT HIRE Summary: Founded in Santa Clara County in 1928, Goodwill of Silicon is dedicated to improving employment opportunities, i…
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What data analysts earn in San Jose
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $37–$53 | $76k–$110k |
| Mid level | $53–$70 | $110k–$145k |
| Senior | $66–$89 | $138k–$186k |
Adjusted for the San Jose market from national ranges.
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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.
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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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