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Python Data Analyst Jobs in Alabama (NOW HIRING)

Sr Data Analyst

Huntsville, AL · On-site

$85K - $107K/yr

... Python or R, along with experience in data visualization and statistical analysis • Valid driver's license • Ability to obtain and maintain installation access • U.S. Citizen • Possess ...

Data Analyst / BI Analyst Birmingham, AL: Hybrid (3 days office; 2 days remote) 36 + Months (3 + ... Core Tech: Proficiency in Python, R, and SQL. Data Visualization: Experience with Tableau ...

Senior Data Analyst

Huntsville, AL · On-site

$84K - $106K/yr

These tasks will involve using tools and technologies such as Python, SQL, and data visualization platforms like Power BI. The Senior Data Analyst will also be responsible for ensuring data integrity ...

The Network Data Analyst will act as the primary point of contact for managing and optimizing data ... Experience with programming languages such as Python. * Familiarity with cloud platforms ...

Senior Data Analyst

Huntsville, AL

$80K - $101K/yr

These tasks will involve using tools and technologies such as Python, SQL, and data visualization platforms like Power BI. The Senior Data Analyst will also be responsible for ensuring data integrity ...

Senior Data Analyst

Huntsville, AL · On-site

$84K - $106K/yr

These tasks will involve using tools and technologies such as Python, SQL, and data visualization platforms like Power BI. The Senior Data Analyst will also be responsible for ensuring data integrity ...

Working knowledge of at least one major programming language (e.g., Python, C#, Java, or Scala) required. * Proficiency with statistical analysis and data visualization tools (e.g., Tableau, Power BI ...

... Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power Job Summary We ... Develop and optimize queries using SQL, Python, DAX, and Power Query . * Maintain and improve data ...

Network Data Analyst

Huntsville, AL · On-site

$55K - $73K/yr

The Network Data Analyst will act as the primary point of contact for managing and optimizing data ... Experience with programming languages such as Python. * Familiarity with cloud platforms ...

Minimum 3 years of experience in data analysis, supply chain analysis, defense logistics, or ... Excel, Python/pandas, SQL, Snowflake, or equivalent) Experience producing analytic products ...

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... This typically includes BI dashboards, Python programs, or Excel/VBA reports. • Enhances business ...

HR Data Analyst Location: Huntsville, AL Duration: 6 Months (For the right individual could be temp ... Python, or R is a plus. • Excellent written, visual, and verbal communication abilities. • ...

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Python Data Analyst information

See Alabama salary details

$30.8K

$74.9K

$123.3K

How much do python data analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for python 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 Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
What are the most commonly searched types of Python Data Analyst jobs in Alabama? The most popular types of Python Data Analyst jobs in Alabama are:
What are popular job titles related to Python Data Analyst jobs in Alabama? For Python Data Analyst jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Alabama look for? The top searched job categories for Python Data Analyst jobs in Alabama are:
Infographic showing various Python Data Analyst job openings in Alabama as of June 2026, with employment types broken down into 3% As Needed, 38% Full Time, 48% Part Time, 10% Contract, and 1% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $74,904 per year, or $36 per hour.
Sr Data Analyst

Sr Data Analyst

XOtech, LLC.

Huntsville, AL • On-site

$85K - $107K/yr

Full-time

Posted 3 days ago


Job description

Job Summary:
XOtech, LLC. is seeking a Sr Data Analyst to lead their Data Analysis section. The role involves conducting complex statistical analyses, predictive modeling, and data mining to influence effective logistics execution while ensuring data quality and governance compliance.
Responsibilities:
• Serves as the lead for advanced data analytics
• Ensures successful task execution of predictive modeling requirements
• Liaison with key Government and corporate personnel
• Evaluates and assesses the strengths and weaknesses of various programs/activities
• Coordinates with cross-functional teams to resolve issues
• Performs data mining, statistical modeling and machine learning
• Uses Vantage, Tableau and MS Office products to include Power BI and Power Automate.
• Monitors projects to ensure goals are met
• Schedules and manages tasks effectively
• Possess excellent written and verbal communication skills
• Organizational and multitasking skills
Qualifications:
Required:
• Over 5 years analytics and logistics experience
• Bachelors in Computer Science, Statistics, or a related field
• Secret Clearance required
• Expert proficiency in SQL and programming languages like Python or R, along with experience in data visualization and statistical analysis
• Valid driver’s license
• Ability to obtain and maintain installation access
• U.S. Citizen
• Possess excellent written and verbal communication skills
• Organizational and multitasking skills
Preferred:
• Prior U.S. Army data analytics experience
• Experience with Army STAMIS to include GCSS-A and Vantage
• Demonstrated experience with MS Office products including Power BI and Power Automate
Company:
XOtech, LLC is a Service Disabled Veteran-Owned Small Business (SDVOSB), proud of its strong ties to the military. Founded in 2002, the company is headquartered in Tyrone, Georgia, US, , with a team of 51-200 employees. The company is currently Growth Stage.