Paid Media Analyst  Wilshire Law Firm is a distinguished, award-winning legal practice with over 18 years of experience, specializing... ...Media Analyst to support performance marketing leadership with data integrity,…
Data Analyst jobs in Los Angeles, 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.
No email, no resume, no sign-up. Save any listing below and you start anonymously.
You're signed in. Saving a listing drops it straight into your pipeline.
Open data analyst roles
12 shown of 371 · sorted by freshness
critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your wor…
professional development resources that allow you to hone existing skills and learn new ones “I can succeed as an Order Management Analyst” As an Order Management Analyst, you will primarily be responsible for the accura…
About the OpportunityKilroy Realty Corporation is seeking a highly analytical and detail-oriented Senior Financial Systems & Data Analyst to serve as the bridge between Finance, Accounting, and Information Technology. Th…
on products consumers actually trust. We're investing heavily in data and AI to sharpen how we develop products and scale brands.... ...right in. About the Role We are looking for a mid-level Data Analyst who is far more…
We are seeking a highly skilled, detail-oriented Data Analyst to join our team. In this role, you will interpret data, apply statistical techniques, and deliver reports that support business decisions. Responsibilities C…
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…
Job Overview Job Summary We are seeking an analytical and detail-oriented Data Analyst to turn raw data into actionable business insights. In this role, you will collect, clean, and analyze datasets to identify trends, f…
Data Analyst Reports To: Associate Director of Data Operations Status: Full-time; Exempt Location: Hybrid – Los Angeles (Little Tokyo Office), with occasional travel to the Inland Empire office and to program sites acros…
Data Analyst – Contract-to-Hire Location: On-Site / Hybrid Job Type: Contract-to-Hire Compensation: $40–$50/hour (contract); competitive salary upon conversion Job Summary We are hiring a Data Analyst for a contract-to-h…
Insights discipline helps empower Rioters' decision-making to be more data- informed. We're an interdisciplinary group of scientists,... ...science, and helping others succeed. As a Principal Insights Analyst on Central…
Project Details Job Title: Data Quality Analyst Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston Hours: Full-time, 40 hours per week Em…
What data analysts earn in Los Angeles
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $32–$47 | $67k–$98k |
| Mid level | $47–$62 | $98k–$128k |
| Senior | $59–$79 | $122k–$165k |
Adjusted for the Los Angeles 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
Applying for data analyst jobs in Los Angeles?
Robbi carries this page into your first day: your role, your city, your shift preference. Then it hands you a few small things each morning and keeps the pipeline honest.
Save what looks right here, then let Robbi hand you a few small things each morning and keep the follow-ups honest.