$115k - $184k
tech or follow us on LinkedIn.What we are looking forOn the Aurora Data Solutions team, you will join a world-class group whose mission... ...Vehicle technology. We are looking for an exceptional Data Analyst that can pl…
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.
458
Open roles today
$37–$89/hr
Typical pay range
$128k
Median, full-time
12
Fresh in this list
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01
Open data analyst roles
12 shown of 458 · sorted by freshness
$160.98k - $265.87k
Job Details:Job Description: Job DescriptionWe are seeking an experienced Senior Product Manager to define, build, and scale our Data Center System and Manageability Software Portfolio. In this role, you will lead the st…
ID27801708Reference26-07957Remote100% Remote Job Title: Contract Data Engineer (API & Database Focus) Role Summary: We are seeking an... ...integrity throughout the data pipelines. Collaborate with data analysts and BI d…
$176.1k - $308.2k
in identity security, purpose-built to answer the fundamental question enterprises face: who can and should take what action on what data. Veza's Access Graph platform maps an organization's entire identity ecosystem acr…
want to do the same. No matter where you are in the world, this is your chance to be part of something exceptional.Job title: (Senior) Data Scientist / ConsultantLocation: Remote (USA)About the RoleAt Centric, we help so…
We are seeking an experienced Kinaxis Data Migration Engineer with 8–10 years of experience in data migration, supply chain systems, data analysis, and enterprise data integration. The ideal candidate will have strong kn…
is what allows us to drive sustained growth. Stronger together, we promote an environment where individuals can thrive.IT Business Analyst ISan José, Costa RicaWorld Fuel is seeking a motivated and analytical IT Business…
$159.2k - $301.6k
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…
$51 - $61 per hour
DescriptionA client with Kforce is seeking a Data Engineer II to join their team in Mountain View, CA.Summary:We are looking for creative problem solvers with a passion for tackling tough customer problems involving data…
$144.4k - $234k
StatesSalary: $144402 - $234000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficePosition: Senior Data EngineerJob Location: 1375 Crossman Avenue, Sunnyvale, CA 94089Duties: Designs and…
$149.8k - $262.2k
meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500 work smarter, faster, and…
$155.5k - $315k
Data scientist - Agentic AIThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.Who We Are:Hewlett Packard Enterprise is the global edge-to-cloud company advancing…
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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.
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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
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Analytics Manager
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