A data services company is seeking a Junior Data Entry Operator to work remotely. The role involves inputting data from paper documents into digital spreadsheets, updating order statuses for customers, and ensuring accur…
Data Analyst jobs in Fresno, 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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January 2027 go-live, and needs a Senior IT HCM Business Systems Analyst to own the Dayforce rollout on the business side. The client... ...complex system issues and perform audits/validations to ensure data integrity •…
creation, password management, new computer setup, alert monitoring and response, gather information and troubleshoot client issues. Data restoration. Maintain internal technical documentation. Monitor and document the s…
Wonderful – and we have a great opportunity for a Sr. Business Systems Analyst. We’re looking to make the world a healthier place through an... ..., and Inventory modules. ~ Foundational knowledge of master data, Account…
As a data entry employee, you will be performing routine data entry tasks under close supervision. Your efforts will help ensure our client's database is maintained with updated account information by verifying, reviewin…
About The Opportunity Our client, a well-established and growing financial services organization, is seeking a BI Analyst to join their newly formed Data & Analytics team. This is an exciting opportunity to play a key ro…
FLSA Status : Non-Exempt, Hourly Reports To: Project Manager I Job Type: On-Call, Variable-Time Compensation: $22 - $35 per hour based on experience Work is anticipated to occur in the following counties: Fresno, Maripos…
Tier 2 Help Desk Technician (Hybrid) – Fresno, CA Grapevine MSP is expanding again, and we are seeking a skilled Tier 2 Help Desk Technician to join our team. If you excel at solving complex technical issues, enjoy colla…
About Us We are an award-winning California-based environmental consulting firm with 550+ professionals and more than 30 years of diverse experience serving clients in transportation, energy, water, infrastructure, priva…
minimization measures (WEAPs, ESAs, buffers, exclusion zones) Monitor and maintain wildlife exclusion fencing Collect and manage field data using GPS and mobile applications (e.g., ArcGIS Field Maps, Fulcrum) Prepare acc…
and maintain security of LANs. Work with multiple hardware and software platforms. Ensure the integrity and security of enterprise data on host computers, multiple databases. Practice network asset management, including…
you! Please review the job details below and then click “apply.” We're looking for someone to join our team as an Applications Analyst I-III who: Position Summary : The Applications Analyst I position at Clinica Sierra V…
What data analysts earn in Fresno
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$37 | $52k–$76k |
| Mid level | $37–$48 | $76k–$100k |
| Senior | $46–$62 | $95k–$128k |
Adjusted for the Fresno 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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