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…
Data Analyst jobs in New Orleans, LA
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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clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As a PROJECT - Data Engineer II on the AI & Data team, you will be responsible for… Designing, de…
to learn how you could help make great things possible not only in your community, but around the world. HDR is currently seeking a Data Center Project Manager to join one of the largest, fastest growing, and comprehensi…
Job ID: 44157Reference: 300016272956432Location: Baton Rouge, LA, United States | New Orleans, LA, United States | Metairie, LA, United StatesDepartment: Structural EngineeringBusiness Unit: ANA United StatesWork Type: H…
governance, risk, and compliance tools, identity and access management solutions, security information and event management platforms, or data loss prevention solutionsExperience with cloud platforms such as Amazon Web S…
We are seeking an AI Data Integration Engineer with strong hands-on experience in Snowflake, healthcare claims data, and practical AI/LLM integration. This role will lead the creation of a sanitized claims data layer (Sn…
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…
Engineering plans, specifications, and design calculationsTechnical reports, memos, and client deliverablesCollect, analyze, and present data to clients, stakeholders, and in public forumsManage and mentor multidisciplin…
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…
a talented Senior Systems Engineer (Amazon Web Services (AWS) Data Engineer) - II Location: Remote Department: Veterans Affairs... ...AWS data architecture that enables business stakeholders and analysts to run performan…
DATA & ENROLLMENT MANAGER Bricolage Academy | New Orleans, Louisiana POSITION OVERVIEW Bricolage Academy is seeking a highly organized, detail-oriented, and service-driven Data & Enrollment Manager to support the accurat…
Job Summary: As an IT Support Technician, you will provide technical support for PCs, laptops, printers, network issues, software updates, and end-user support for all IT services. The ideal candidate should be able to t…
What data analysts earn in New Orleans
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$36 | $52k–$75k |
| Mid level | $36–$48 | $75k–$99k |
| Senior | $45–$61 | $94k–$127k |
Adjusted for the New Orleans 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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