$140k - $170k
Build the Financial Systems Powering Our Growth - Love Where You Work Role: Principal Financial Systems & Data Analyst Location: San Diego, CA 92101 (Onsite at Symphony Towers) Compensation Range: $140,000-$170,000 DOE…
Engineering & IT · San Diego, CA
Data Analyst jobs in San Diego, 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.
421
Open roles today
$31–$76/hr
Typical pay range
$109k
Median, full-time
5
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01
Open data analyst roles
11 shown of 421 · sorted by freshness
$72k
Description Location: Onsite | San Diego, CA Job Type: Fulltime, direct hire Salary: $72,000/year We are seeking a Data Analyst to join a nonprofit organization to serve as the primary administrator of the data managemen…
About the job Remote Data Analyst / Entry Level As the successful Data Operations Analyst , your performance objectives include: Provide thought leadership and subject matter expertise related to financial controllership…
Data Analyst: III ID: SEMPJP00000495 Period: 2 Years Location: 8680 Balboa Ave. San Diego, CA 92123 Some Notes on the Role: -1 round of interviews with the host manager and two supervisors -No FTE conversion for this rol…
$60 per hour
Job Description Job Description Data Analyst III Job Overview Nexiya is seeking a motivated, analytical, and self-directed Data Analyst III to provide advanced analytical support to our client, a major utility company in…
$36 per hour
Business analyst I (Hybrid/ San Diego) What You’ll Do Build and maintain Power BI dashboards and reports to support both internal teams... ...clients. Write SQL queries to extract, analyze, and validate data across multi…
$125k - $175k
fast-paced and passionate team as a Senior Mechanical Engineering Analyst. As we scale, you will be instrumental in building our... ...Execute complex engineering tasks involving planning, preparation, data/ information…
$175k - $200k
The Marlin Alliance is seeking a forward-thinking Data Engineer/Data Architect in San Diego, CAto provide client support to our Navy... ...a quality assurance process. Work closely with data analysts and data scientists…
$175k - $225k
The Marlin Alliance is seeking a forward-thinking Data Engineer in San Diego, CAto provide client support to our Navy client. This... ...Experience: ~5 - 10 years' experience working as a business analyst, data analyst,…
$155k - $240k
solutions, develop lasting impact, and grow their careers in a supportive environment. The company is seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Mod…
Only local candidates are allowed to apply(San Diego, CA) Hybrid model: 2 days a week Project Details: They are having data coming in from different source (40 different properties) and it needs to be cleaned, uploaded,…
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What data analysts earn in San Diego
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $31–$45 | $65k–$94k |
| Mid level | $45–$60 | $94k–$124k |
| Senior | $57–$76 | $118k–$159k |
Adjusted for the San Diego 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.
05
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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