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Full Time Data Analyst Jobs in Alabama (NOW HIRING)

In lieu of a degree, minimum of 10 years of prior related data analytics experience. WORK HOURS * Full-Time * 9/80 work schedule * 1st Shift HYB ADDITIONAL INFORMATION * Employment will be contingent ...

Data Scientist Experience 3-6 Years Job Type Full-Time Job Summary We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and provide data-driven insights ...

Non-Tenure Track Work Status Full-Time (FT) Temporary No Location Troy - T01 Job Summary The Lecturer position in Data Analytics is responsible for a commitment to quality teaching, advising, and ...

Job Title Data Scientist Career Level Experienced (Non-Manager) Job Type Full-Time Location RWESS ... In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and ...

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

Collection and analysis of data * Research current and future cyber security threats against ... Experience working full-time in an agile software engineering team environment. * Strong knowledge ...

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

Collection and analysis of data * Research current and future cyber security threats against ... Experience working full-time in an agile software engineering team environment. * Strong knowledge ...

Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of statistical analysis and machine learning tasks, ranging from designing and evaluating experiments ...

Showing results 41-60

Full Time Data Analyst information

See Alabama salary details

$30.8K

$74.9K

$123.3K

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

As of Aug 25, 2026, the average yearly pay for full time data analyst in Alabama is $74,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $87,900.00 per year, depending on experience, location, and employer.

What does a full time data analyst do?

A Full Time Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make informed decisions. They use statistical tools and techniques to interpret data trends and patterns, create reports and visualizations, and present actionable insights to stakeholders. Data analysts often work with databases, spreadsheets, and specialized software to ensure data accuracy and reliability. Their work supports business strategies, improves efficiency, and identifies opportunities for growth.

What are the key skills and qualifications needed to thrive as a full time data analyst, and why are they important?

To thrive as a Full Time Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, communication skills, and attention to detail help analysts present actionable insights and collaborate effectively with stakeholders. These skills and qualifications are crucial for transforming raw data into meaningful information that drives business decisions.

What are typical collaboration partners for a full time data analyst, and how do they work together on projects?

Full Time Data Analysts frequently collaborate with cross-functional teams such as business stakeholders, software engineers, and product managers. They work closely with these partners to understand data needs, define project goals, and translate technical findings into actionable business insights. Regular meetings, data review sessions, and feedback loops are common practices to ensure alignment and effective communication throughout a project's lifecycle. This collaborative approach helps ensure that data-driven recommendations are both relevant and implementable.

What is the difference between Full Time Data Analyst vs Part Time Data Analyst?

AspectFull Time Data AnalystPart Time Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employmentPart-time employment
CertificationsOften requires relevant degrees and certificationsMay require similar credentials but with flexible schedules
Work EnvironmentOffice or remote, full-time engagementFlexible, part-time roles often remote or freelance

Full Time Data Analysts work regular hours, often in a dedicated office or remote setting, with full employment benefits. Part Time Data Analysts work fewer hours, offering flexibility but typically with limited benefits. Both roles require similar skills and certifications, but the commitment level differs.

What are the most commonly searched types of Data Analyst jobs in Alabama?

The most popular types of Data Analyst jobs in Alabama are:

What cities in Alabama are hiring for Full Time Data Analyst jobs?

Cities in Alabama with the most Full Time Data Analyst job openings:

Infographic showing various Full Time Data Analyst job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,904 per year, or $36 per hour.

Data Scientist

Chipton Ross

Huntsville, AL • On-site

Full-time

Re-posted 27 days ago


Job description

Job Description
Job #218613
Chipton-Ross is seeking a Data Scientst for a hybrid contract opportunity in Huntsville, AL.
Hybrid schedule. 2-3 days onsite and then work from home.
BASIC QUALIFICATIONS (REQUIREDSKILLS/EXPERIENCE)
  • 2+ years experience working with relational database management systems (Oracle).

2+ years experience with Snowflake, Palantir, and/or Alteryx.
POSITION RESPONSIBILITIES
  • Lead and manage analytics and BI-related project activities, ensuring deliverables align with program schedules, stakeholder requirements, and operational priorities
  • Develop, maintain, and enhance Power BI dashboards, standardized reports, KPI frameworks, and data visualizations to support leadership decision-making.
  • Perform data extraction, transformation, and analysis using Snowflake, Palantir, and other enterprise platforms to support business operations, supply chain visibility, program performance, and financial analysis.
  • Utilize project management tools such as Azure Dev Ops or Jira for coordinating and prioritizing tasks across the BI organization Support self-service analytics initiatives by defining data requirements, creating documentation, and establishing data-quality and governance practices.
  • Identify analytics gaps, process bottlenecks, and improvement opportunities; recommend solutions that enhance efficiency across programs and functional organizations.
  • Coordinate with IT, data engineering, and other technical teams to ensure BI tools, datasets, and data pipelines meet business needs-without requiring deep data-architecture ownership.
  • Present findings and recommendations to executives and cross-functional audiences in clear, business-oriented language.
  • Stay current on BI, analytics, visualization, and data driven program management best practices.

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE)
  • Strong critical thinking and problem-solving skills.
  • Experience working across cross-functional teams to influence outcomes.
  • Ability to analyze large datasets, uncover trends, and present data-driven insights.
  • Experience with project management tools (ADO, Jira) • Knowledge of cloud platforms (AWS, Azure, GCP) and data warehousing best practices Experience in • Aerospace & Defense, Manufacturing, or Supply Chain industries.
  • Experience utilizing SQL for data extraction and database management.
  • Experience with programming languages, such as JavaScript and Python.
  • Experience with full-stack application development.

REQUIRED EDUCATION
  • Accredited Bachelor's Degree and minimum 6 years of prior relevant data analytics experience. Graduate Degree and a minimum of 4 years of prior related data analytics experience. In lieu of a degree, minimum of 10 years of prior related data analytics experience.

WORK HOURS
  • Full-Time
  • 9/80 work schedule
  • 1st Shift HYB

ADDITIONAL INFORMATION
  • Employment will be contingent on clearing a drug screen and background check. Both must clear prior to start date.
  • Candidates responding to this posting must currently possess the eligibility to work in the United States. No third parties please.

For more information, please apply or contact:
Zachary Fasano 800.927.9318 x252
zfasano@chiptonross.com
Chipton-Ross provides equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, national origin, sex (including pregnancy), age, disability, sexual orientation, gender identity and/or expression, protected veteran status, genetic information, or any other characteristic protected by Federal, State or local law. This policy governs all areas of employment at Chipton-Ross, including recruiting, hiring, training, assignment, promotions, compensation, benefits, discipline, and terminations.

Chipton-Ross logo

About Chipton-Ross

Sourced by ZipRecruiter

Chipton-Ross, based in El Segundo, California, is a leading provider of staffing and recruitment services in the US. The company is renowned for its specialization in fields like engineering, information technology, aircraft manufacturing, and other technical industries. Founded in 1983, Chipton-Ross has grown to become a recognized name in the national recruitment arena with a reputation for integrity, quality, and excellence in management. The company's mission is to provide cost-effective staffing solutions that allow their clients to maximize the power of their people, enhancing both perspective and productivity.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

El Segundo, CA, US

Year founded

1983