Support the testing process at in-house and third-party laboratories. Evaluate test results and revise designs based on empirical data and established engineering concepts. • Characterize the electrical and thermal perfo…
Engineering & IT · Sacramento, CA
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.
116
Open roles today
$28–$70/hr
Typical pay range
$100k
Median, full-time
11
Fresh in this list
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01
Open data analyst roles
12 shown of 116 · sorted by freshness
$8k - $10k
numerical models Design and manage field investigations, well drilling and testing, and monitoring programs, and interpret hydrogeologic data Prepare technical reports, proposals, and work plans; review deliverables and…
spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial... ...and build a legacy of excellence. In the role of Project Controls Analyst, we'll coun…
benefit plan selections based on represented employee organization changes, and other various reports - mostly centered around payroll data and including FI postings. There is additional ABAP work needed for payroll repo…
Job-ID28987312Reference26-21543Remote50% Remote This position needs to be a strong SAP benefits and payroll functional consultant with at least 8 years of recent SAP configuration experience in the benefits module, 3 of…
$96.1k - $139.4k
Communities everywhere share the need for clean water. And as they work to meet that need, they’re facing new, more complex challenges every day. Our water professionals collaborate to contribute innovative ideas, guided…
Associates, ***Greetings from My3Tech*** Position: ERP Data & Integration Lead / Architect Location: Sacramento, CA - Remote... ...integration readiness roadmap. Collaborate with business analysts to ensure business requ…
$110.3k - $165.5k
contaminants study and clearance analysis for transmission line design.Experience with lattice towers.Experience with geotechnical data interpretation for foundation design and embedment calculations for a variety of tra…
$110.3k - $165.5k
At Stantec, we know the work we do matters. From decarbonizing mines to modernizing electric grids and building the infrastructure that fuels communities, we’re powering the world. Our clients come to us with their bigge…
$93.6k - $135.7k
Grounded in safety, quality, and ethics, our experts lead their fields with dedication, a creative spirit, and a vision for growth. We draw from more than 20 technical specialties worldwide and are devoted to fostering a…
Work Authorization # LinkedIn Id Job Title: Senior Data Engineer/SQL DBA/SSIS Developer Location: Sacramento, CA... ...Collaborate with application developers, architects, business analysts, reporting teams, QA staff, an…
us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that de…
02
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.
03
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.
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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
04
Analytics Manager
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