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Statistical Analysis Data Reconfiguration Jobs in Alabama

4pconsultinginc

Data Analyst II

Birmingham, AL · On-site

This role works with primary and secondary data sources, maintains data systems, and delivers meaningful insights through statistical analysis and reporting. The ideal candidate has strong analytical ...

Mindlance

Data Analytics Analyst 1

Birmingham, AL · On-site

The role involves using tools like Python, R, and SQL for data analysis, as well as performing data integration and statistical analysis to derive insights from data. Responsibilities : • ...

4P Consulting Inc.

Data Analyst 2

Birmingham, AL

Proficiency in statistical analysis and hypothesis testing to draw · meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive modeling.

Aviagen

Continuous Improvement Data Analyst

Athens, AL · On-site

... analysis tools based on this data • Interpret and analyze data based on statistical techniques • Liaise with internal consumers of analyses in designing dashboards and reports to meet reporting ...

Mission Pet Health

Senior Statistical Analyst

Birmingham, AL · On-site

$81K - $100K/yr

Define the data model that translates raw event streams into clean, analysis-ready assets - in ... Translate statistical findings into clear decision points for product, business, and leadership ...

Varsity Tutors

Data Science Tutor

Huntsville, AL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Montgomery, AL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Leidos

Data Analyst

Huntsville, AL

$87K - $157K/yr

Organize and manage data analysis efforts to produce clear analytical reports and deliverables that support customer needs and mission objectives. * Develop and apply statistical methods, algorithms ...

Leidos

Data Analyst

Huntsville, AL · On-site

$87K - $157K/yr

Organize and manage data analysis efforts to produce clear analytical reports and deliverables that support customer needs and mission objectives. * Develop and apply statistical methods, algorithms ...

Leidos

Sr. Data Analyst

Huntsville, AL · On-site

$107K - $195K/yr

Intermediate ability in Python with familiarity using statistical and data analysis libraries (NumPy, SciPy, Pandas, scikit-image, statsmodels, etc.) and data visualization libraries (matplotlib ...

Peraton

Data and Analytics Engineer

Huntsville, AL

$80K - $128K/yr

Perform rigorous statistical data analysis on complex datasets derived from lab, flight, and field testing of ASE systems (e.g., missile warning systems, laser detection systems, and infrared ...

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All JobsStatistical Analysis Data Reconfiguration JobsStatistical Analysis Data Reconfiguration Jobs in Alabama

Statistical Analysis Data Reconfiguration information

See Alabama salary details

$27.2K

$63.9K

$106.5K

How much do statistical analysis data reconfiguration jobs pay per year?

As of Jul 31, 2026, the average yearly pay for statistical analysis data reconfiguration in Alabama is $63,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $73,400.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Analysis Data Reconfiguration vs Data Analyst?

AspectStatistical Analysis Data ReconfigurationData Analyst
Primary FocusRearranging and transforming data sets for analysis readinessInterpreting data to generate reports and insights
Skills & CertificationsStatistical software, data manipulation, certifications like CAP or SASData visualization, SQL, Excel, often with a bachelor's degree in related fields
Work EnvironmentData processing teams, research labs, analytics departmentsBusiness units, marketing, finance, or operations teams

While both roles involve working with data, Statistical Analysis Data Reconfiguration specializes in preparing and transforming data for analysis, whereas Data Analysts focus on interpreting data to produce reports and insights. Understanding these differences helps organizations assign the right skills to each role.

Can I make 6 figures as a data analyst?

Statistical Analysis Data Reconfiguration roles can offer six-figure salaries, especially with experience, advanced skills in programming languages like Python or R, and proficiency with data visualization tools. Salaries vary by industry, location, and level of expertise, but high-level data analysts with specialized skills can reach or exceed six figures.

Is 40 too late for data science?

The role of a Statistical Analysis Data Reconfiguration specialist typically requires strong analytical skills and experience with data tools. Age is generally not a barrier if you have relevant skills, certifications, and a solid understanding of data analysis, programming languages like Python or R, and statistical methods. Many professionals successfully transition into data science later in their careers by building their technical expertise and portfolio.

Is statistical analysis and data reconfiguration a real job?

Yes, statistical analysis and data reconfiguration are real job functions often performed by data analysts, statisticians, or data engineers. These roles involve analyzing data sets, restructuring data for better usability, and using tools like SQL, Python, or R to support decision-making processes.

How much does statistical analysis and data reconfiguration pay?

Salaries for roles involving statistical analysis and data reconfiguration typically range from $60,000 to $100,000 annually, depending on experience, education, and industry. Professionals often use tools like R, Python, or SQL, and certifications such as SAS or data analysis degrees can influence compensation.
What are popular job titles related to Statistical Analysis Data Reconfiguration jobs in Alabama? For Statistical Analysis Data Reconfiguration jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Statistical Analysis Data Reconfiguration jobs in Alabama look for? The top searched job categories for Statistical Analysis Data Reconfiguration jobs in Alabama are:
What cities in Alabama are hiring for Statistical Analysis Data Reconfiguration jobs? Cities in Alabama with the most Statistical Analysis Data Reconfiguration job openings:
Statistical Analysis Data Reconfiguration jobs near you
Infographic showing various Statistical Analysis Data Reconfiguration job openings in Alabama as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $63,855 per year, or $30.7 per hour.

Data Analytics Analyst I

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 4 days ago

Job description

Position: Data Analytics Analyst I

Location: Birmingham, AL
Contract : 3 Years
Client: Alabama Power
 

Position Overview

We are seeking a motivated Data Analytics Analyst I with 1–3 years of experience to support data analysis, reporting, data integration, and business intelligence initiatives.

The ideal candidate will have hands-on experience using tools such as Python, R, SQL, Tableau, Matplotlib, and Seaborn to analyze data, create visual reports, and deliver meaningful business insights. This role is well-suited for someone with strong analytical skills, attention to detail, and a desire to grow in data analytics, reporting, ETL, and predictive modeling.

Key Responsibilities

  • Collect, clean, analyze, and interpret data from multiple sources.
  • Use Python, R, SQL, and visualization tools to identify trends, patterns, and insights.
  • Build reports, dashboards, charts, and visual presentations for business users.
  • Support data extraction, transformation, and loading processes.
  • Work with databases and structured datasets to prepare data for analysis.
  • Perform statistical analysis and hypothesis testing to support business decisions.
  • Assist with predictive modeling and basic machine learning techniques.
  • Validate data accuracy and ensure reporting consistency.
  • Collaborate with business, technical, and operational teams to understand data needs.
  • Document data processes, reporting logic, and analysis results.

Required Qualifications

  • 1–3 years of experience in data analytics, reporting, business intelligence, or a related role.
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
  • Proficiency with SQL for querying and analyzing data.
  • Experience with Python or R for data analysis.
  • Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
  • Basic understanding of ETL processes and database concepts.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail and ability to work with large datasets.
  • Good written and verbal communication skills.

Preferred Qualifications

  • Experience with machine learning or predictive analytics.
  • Familiarity with statistical analysis and hypothesis testing.
  • Experience working with multiple data sources and databases.
  • Knowledge of data cleaning, data validation, and data quality practices.
  • Exposure to business intelligence or dashboard development.

Key Skills

  • Data analysis and reporting
  • SQL querying
  • Python or R
  • Tableau / Power BI
  • Matplotlib / Seaborn
  • ETL and data integration
  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Data validation and documentation