We are looking for a Data Engineer to join a fast-paced IT consulting environment in Atlanta, Georgia. In this role, you will design and optimize modern data solutions that support analytics, machine learning, and busine…
Engineering & IT · Atlanta, GA
Data Analyst jobs in Atlanta, GA
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.
565
Open roles today
$27–$66/hr
Typical pay range
$94k
Median, full-time
9
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01
Open data analyst roles
12 shown of 565 · sorted by freshness
Lead Data Governance & Master Data Management Expert Employment Type: 6-week project with 3-6 month extension possibility Location: Remote Travel Required: N/A About Kaizen Kaizen Global is a global technology consulting…
$202k - $229k
Job Description Summary: At The Coca-Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today’s digital-first world. As consumers engage with our bran…
Managing Director, Data Engineering & AIWho You'll Work WithAs a Managing Director in Slalom's Data & AI practice, you will lead the growth of our Data Engineering & AI business by helping clients modernize their data fo…
$87.7k - $139.7k
experienced Senior High Voltage Electrical Engineer to lead the design and engineering of critical electrical infrastructure for hyperscale data centers and mission-critical facilities. This role provides technical leade…
$122k - $145k
Job Title: Salesforce - Business Analyst You are an experienced Salesforce Business Analyst with a passion for solving complex business... ...business workflows to assist in stakeholder alignment* Capture data, reporting…
9337Remote50% Remote Required: 3-5 Years. Proficient in Python or SQL, experienced in writing queries in Databricks, able to create data visualizations in Power BI that are connected directly to Databricks catalog and qu…
Job-ID28042269Reference26-10940 Modern Data Engineer (Enterprise + Lakehouse + AI‐Assisted) Experience 5+ years working with data in a software or data engineering role Experience in enterprise environment…
$80.46k - $142.72k
deliver more impact together.Role description:As an Electrical Engineer you will lead the electrical discipline of multiple concurrent data center projects through pursuit, proposal, design, and construction phases. You…
Hiring: W2 Candidates Only Job Description: We are seeking a Data Analyst to analyze business data, develop reports and dashboards, identify trends, and provide actionable insights to business stakeholders. Required Skil…
to handle all elements of the ticket sales lifecycle, from ingestion to sales fulfillment. THE POSITION The Marketplace Data Analyst will work closely with team members across Victory Live's Marketplace team to help driv…
The Senior Data Analyst plays a critical role within Enterprise Data, helping drive strategic, data-informed decisions across the organization. This role partners closely with business stakeholders to frame complex probl…
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What data analysts earn in Atlanta
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 Atlanta 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.
02
List SQL first and honestly grade your level; it is the single most tested skill for this role.
03
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.
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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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