A data solutions company is seeking a Remote Data Entry Operator in Phoenix, Arizona. The candidate should have at least 2 years of experience in data analysis and strong skills in Power BI. Responsibilities include crea…
Engineering & IT · Phoenix, AZ
Data Analyst jobs in Phoenix, AZ
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.
561
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$27–$66/hr
Typical pay range
$94k
Median, full-time
4
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01
Open data analyst roles
11 shown of 561 · sorted by freshness
Job Summary: The Senior Data Migration Validation Analyst is responsible for ensuring the accuracy, integrity, and completeness of data throughout a complex migration process from a legacy Mainframe system to Salesforce…
UAT, training, and solution adoption. Experience with Oracle Fusion Applications (Finance). Experience with Oracle Fusion Data Intelligence (FDI). Experience with Oracle Analytics Cloud (OAC). Experience with OTBI (Oracl…
Description Join Our Team and Help Drive Mission Impact Through DataThe Worker is seeking a detail-oriented and analytical Development Data Analyst to serve as the primary steward of our donor database and fundraising da…
Job Description Job Description Senior Data Migration Validation Analyst – Mainframe/SQL/Salesforce – $60-65/hr W2 – Phoenix (Hybrid, ~1 Day/Week Onsite) Own data integrity on a high-stakes legacy-to-cloud migration. A s…
Data Migration Validation Analyst Phoenix, AZ We are seeking a Senior Data Migration Validation Analyst to oversee the end-to-end data reconciliation and quality assurance for a complex migration pipeline moving data fro…
Job Title: Senior Data Migration Validation Analyst Location: Phoenix, AZ (Local Candidates Only | Hybrid: 1 day/week onsite or as needed) Job Description: Arizona DES/DTS is seeking a Senior Data Migration Validation An…
The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations. This role works at the…
We are seeking a highly analytical and detail-oriented Data Business Analyst to join our team. In this role, you will transform complex data into meaningful insights that drive strategic business decisions for our custom…
$161.3k
powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Analyst, Technology Consulting - Data & Analytics (Data Product Management) – Financial…
with some time spent in office for meetings. In Person interview is required. Our direct client has an opening for a Data Analyst 5681. This position is up to 12 months with the option of extension. The client is in Phoe…
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What data analysts earn in Phoenix
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $27–$39 | $56k–$82k |
| Mid level | $39–$51 | $82k–$107k |
| Senior | $49–$66 | $102k–$138k |
Adjusted for the Phoenix market from national ranges.
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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
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Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
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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
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Junior Data Analyst
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Data Analyst
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Senior Data Analyst
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Analytics Manager
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