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Full Stack Data Analyst Jobs in Mandeville, LA (NOW HIRING)

Data Science Tutor

New Orleans, LA · Remote

$18 - $40/hr

Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization ...

Sr. BA

Mandeville, LA · On-site

$83K - $107K/yr

Experience leading teams through the full development life cycle is a plus. * Familiarity with scripting languages like Python or R for data analysis and automation. * Experience with SQL for ...

Showing results 21-40

Full Stack Data Analyst information

See Mandeville, LA salary details

$30.6K

$74.4K

$122.4K

How much do full stack data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full stack data analyst in Mandeville, LA is $74,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,300.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or Tableau. They possess skills across data management, analysis, and presentation, enabling them to work independently through the entire data workflow.

What are popular job titles related to Full Stack Data Analyst jobs in Mandeville, LA?

For Full Stack Data Analyst jobs in Mandeville, LA, the most frequently searched job titles are:

What cities near Mandeville, LA are hiring for Full Stack Data Analyst jobs?

Cities near Mandeville, LA with the most Full Stack Data Analyst job openings:

Infographic showing various Full Stack Data Analyst job openings in Mandeville, LA as of June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $74,395 per year, or $35.8 per hour.

$106K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

This position is located in the National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), with 2 vacancies in one of the listed locations.
Qualifications:

Qualification requirements in the vacancy announcements are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal qualification standards. This handbook is available on the Office of Personnel Management's website located at: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/
BASIC REQUIREMENTS: This position requires applicants to meet the Basic Education Requirement in addition to at least one full year (52 weeks) of specialized experience in order to be found minimally qualified. Transcripts must be submitted with an application package. You MUST meet one of the following basic education requirements:
To qualify for the 1560 series:
EDUCATION:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
-AND-
SPECIALIZED EXPERIENCE:
Applicants must possess one year of specialized experience equivalent in difficulty and responsibility to the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills and abilities to successfully perform the duties of the position. This experience need not have been in the federal government.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations e.g., professional; philanthropic, religious; spiritual; community, student, social). Volunteer work helps build critical competencies; knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
To qualify at the ZP-4 or GS-13 level:
SPECIALIZED EXPERIENCE: In addition to meeting the Basic Requirement above, applicants must also possess one full year (52 weeks) of specialized experience equivalent to the ZP-3 or GS-12 in the Federal service. Specialized experience MUST include all of the following:

  • Analyzing data related to workforce management;
  • Utilizing programming or statistical software suites (i.e. R, Python, SAS, SPSS, STATA, Tableau, PowerBI, etc.) to construct predictive models or machine learning algorithms; and
  • Creating infographics, visualizations, or reports conveying insights derived from data analysis.
Education:

Substitution of education for specialized experience is not applicable to this vacancy.
College Transcript: If you are qualifying based on education, submit a copy of your college transcript that lists college courses detailing each course by the number and department (i.e., Bio 101, Math 210, etc.), name of accredited institution, course title, number of credit hours and grade earned. You must submit evidence that any education completed in a foreign institution is equivalent to U.S. education standards with your resume. You may submit an unofficial copy of the transcript at the initial phase of the application process. If course content cannot be easily identified from the title of the course as listed on your transcript, you must submit an official course description from the college/university that reflects the content at the time the course was taken.
Note: Your college transcript is used to verify successful completion of degree, or college course work. An official college transcript will be required before you can report to duty.
Education completed in colleges or universities outside the United States may be used to meet the above requirements. You must provide acceptable documentation that the foreign education is comparable to that received in an accredited educational institution in the United States. For more information on how foreign education is evaluated, visit: OPM Foreign Education Evaluation.

Employment Type: OTHER