Cedars-Sinai is seeking a Senior Health Equity Analyst/Data Intelligence Analyst to translate end‑user needs into detailed data requirements and reports. You will produce datasets, dashboards, and ad-hoc analytics to sup…
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.
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Open data analyst roles
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Job Details:- Role :- Data Analyst Regulations and Materials Job Type:- Full Time with TCS Salary :- $100K to $130K Per Year Location:- Culver City, CA Onsite Experience Required:- 8+ years of experience Key Benefits...
A leading data services firm is seeking a Senior Data Analyst / Typing to enhance customer experience and manage contributor data activities. This remote role involves collaborating with cross-functional teams, overseein…
come, you’re exactly who we’re looking for. The Role: We are looking for a highly analytical and mission-driven People Data Analyst to join our People team. In this role, you’ll be the connective tissue between People Sy…
insurance ~ Wellness resources About the Role: MedPOINT Management is looking for a detail-driven Provider Directory Data Assurance Analyst to join our team in Sherman Oaks, CA. In this critical role, you'll help ensure…
Job Summary: We are seeking a detail-oriented and analytical Remote Data Analyst to join our team. The Data Analyst will be responsible for interpreting data, analyzing results, and providing actionable insights to suppo…
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…
Job Description Job Description Data Analyst Van Nuys, CA 91406 (On-Site) THE POSITION: An established and growing organization is seeking a Data Analyst to join its Finance team. This is an exciting opportunity for an a…
-stakes cases against major corporations and insurance companies. Position Overview We are seeking a highly motivated Data Analyst to support the organization with data analysis, reporting, business intelligence, dashboa…
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…
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 Sr. Principal Insights Analyst on Cent…
Job Description Job Description Data Analyst – Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to help dr…
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
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