Power sector, you’ll help shape how electricity is generated, transmitted, and delivered as global energy demands grow. From massive data centers to modernizing transmission systems, our industry-recognized engineers and…
Engineering & IT · Memphis, TN
Data Analyst jobs in Memphis, TN
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.
124
Open roles today
$23–$57/hr
Typical pay range
$81k
Median, full-time
10
Fresh in this list
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01
Open data analyst roles
10 shown of 124 · sorted by freshness
protocols and experiments. Sets up protocols and assists in developing new laboratory techniques as required.Identifies experimental data pertinent to the analysis problem. Processes, organizes and summarizes data, repor…
critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your wor…
Comply and follow all procedures within the company security policy.· Support and focus corrective action efforts, utilizing the SPC data and corrective action tracking package, and create and implement any meetings, pro…
$97.73k - $162.88k
Req ID:382980NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are cu…
headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Position: Service Engineer AI Data Center Location: Memphis, TN, 38118 Duration: 5 Months Job Type: Temporary Assignm…
critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your wor…
DescriptionAt HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas t…
Project Management and Coordination in BI/DW Development and Infrastructure upgrades Working with various functional teams Knowledge of data analysis with strong Excel skills Good documentation skill Excellent oral and w…
Power sector, you’ll help shape how electricity is generated, transmitted and delivered as global energy demands grow. From massive data centers to modernizing transmission systems, our industry-recognized engineers and…
02
What data analysts earn in Memphis
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $23–$34 | $48k–$70k |
| Mid level | $34–$44 | $70k–$92k |
| Senior | $42–$57 | $88k–$119k |
Adjusted for the Memphis 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.
05
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.
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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.
04
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
05
A small portfolio of public analyses with clear write-ups can offset limited job experience.
06
Where this role goes
Typical progression
01
Junior Data Analyst
02
Data Analyst
03
Senior Data Analyst
04
Analytics Manager
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