com or call at (***) ***-****. Direct End Client: California Governor's Office of Emergency Services (Cal OES) Job Title: Data Analyst Duration: 36 Months Location: Hybrid / Remote (Candidates must be within 50 miles of…
Data Analyst jobs in Sacramento, 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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OF THE DEPARTMENT AND IS SUBJECT TO CHANGE AS BUSINESS NEEDS ARISE. The Employment Training Panel (ETP) is seeking a Research Data Analyst II (RDA II) in the Planning and Research Unit within the Research and Analytics D…
Position titleSenior Data AnalystDescriptionLume Consulting Group is looking for a qualified individual to fill the role of a Data Analyst / Senior Data EngineerQualifications**Minimum Qualifications**1. Minimum five (5)…
A data consulting firm in Sacramento is seeking a Senior Data Analyst to take on responsibilities in electronic data analytics and programming. The ideal candidate will have at least 5 years of experience, with 3 years i…
experienced transcription specialist to support the Digital Democracy project, using AI-assisted tools to process legislative video and data for our team of transcribers. Remote with occasional travel to Sacramento and S…
oriented technology professional to support California’s emerging Artificial Intelligence (AI) Safety Reporting Program . As a Data Reporting Analyst within the Homeland Security Division’s Policy Branch, you will help d…
Relations (DIR), Division of Occupational Safety and Health (DOSH aka Cal/OSHA), the Analyst II performs complex analytical and technological studies/assignments related to the Cal/OIS data management system. The incumbe…
5+ years of experience in business intelligence, analytics, or data engineering, including at least 2 years leading a small team or... ...look for proven ability to direct the day-to-day work of a Data Analyst and Data I…
Job Description and Duties Under general direction of the Research Data Supervisor II (RD Sup II), the Research Data Analyst II (RDA II) is a member of the Research unit responsible for supporting the lead staff over the…
diverse team in the following role. If you are interested in joining our team, apply today! About this Role: The Enterprise Data and Information Management (EDIM), Data Analytics Division (DAD) at the California DHCS is…
Job Description and Duties Under general direction of the Research Data Supervisor II, incumbent serves as an analyst for supporting the various data-related projects for the Office of Health Workforce Development (OHWD)…
Statistical Analysis System (SAS) and SAS MXG (Merrill’s Expanded Guide) used to extract transform and load existing service usage data from source/mainframe systems. * Knowledge and experience evaluating IBM’s Z/OS main…
What data analysts earn in Sacramento
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $28–$41 | $59k–$86k |
| Mid level | $41–$54 | $86k–$113k |
| Senior | $52–$70 | $108k–$146k |
Adjusted for the Sacramento 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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