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Python Data Analyst Jobs in Alabama (NOW HIRING)

This individual will support in the analysis of data from various sources as a part of testing ... Familiarity with coding in Python, C#, or similar * Ability to adapt to dynamic and frequently ...

deciBel Research has an immediate opening for a Data Analyst in Huntsville, AL. Position ... Working knowledge programming languages (C++, MATLAB, Python, or STK) * Proficiency with Linux and ...

This individual will support in the analysis of data from various sources as a part of testing ... Familiarity with coding in Python, C#, or similar * Ability to adapt to dynamic and frequently ...

Extracts and analyzes specific data elements from databases and information systems using software such as SQL, R, or Python. * Performs occasional non-routine or ad hoc analyses for leadership as ...

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

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

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

Extract, manipulate, and analyze data using SQL and Python. * Work independently with cross-functional teams to gather, define, and document data analysis requirements. * Support data validation ...

Proficiency in programming languages such as Python, R, or SQL. * Strong understanding of statistical methods and data analysis techniques. * Expertise in machine learning frameworks and libraries ...

Extract, manipulate, and analyze data using SQL and Python. * Work independently with cross-functional teams to gather, define, and document data analysis requirements. * Support data validation ...

Extract, manipulate, and analyze data using SQL and Python. * Work independently with cross-functional teams to gather, define, and document data analysis requirements. * Support data validation ...

Job Title :: Data Analyst 2 Location :: Birmingham, AL 35203(Onsite) Contract :: 6-Months Skills and Responsibilities ยท 3-5 Years Proficient in using tools like Python, R, SQL, and data ...

Proficiency in data analysis tools such as SQL, Python, R, or equivalent. * Proficiency in DAX queries. * Experience with data cataloging tools (e.g., Purview, Alation, Collibra) and maintaining data ...

Proficiency in data analysis tools such as SQL, Python, R, or equivalent. * Proficiency in DAX queries. * Experience with data cataloging tools (e.g., Purview, Alation, Collibra) and maintaining data ...

... Analyst I with 1-3 years of experience to support data analysis, reporting, data integration, and ... Use Python, R, SQL , and visualization tools to identify trends, patterns, and insights. * Build ...

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Python Data Analyst information

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$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.
Data Analyst

Full-time

Posted 26 days ago


Job description

Radiance Technologies, a rapidly growing employee-owned company, is seeking a talented Data Analyst to support the Test and Training Group. This individual will support in the analysis of data from various sources as a part of testing efforts for multiple Government and military customers. The candidate will provide technical and analytical support by developing analysis tools and supporting live data collection and analysis at test events. The Analyst will work in a fast-paced, team-oriented environment.

Job Responsibilities

  • Collect, catalog, compile, and analyze data from test events
  • Generate reports on data collected from events
  • Support running live display and analysis tools during test event
  • Develop software tools to aid in the analysis of data
  • Travel 25% for extended duration as assigned

Required Experience and Skills:

  • US Citizenship with the ability to obtain and maintain a security clearance.
  • Minimum of 4 years' experience in related field
  • Bachelor's Degree in a relevant field (Mathematics, Computer Science, Physics, Engineering, or other STEM field)
  • Familiarity with coding in Python, C#, or similar
  • Ability to adapt to dynamic and frequently changing customer requirements
  • Strong analytical, inference, critical thinking, and creative problem-solving skills
  • Ability to work both independently and in a team environment
  • Ability to travel for test events

Desired Skills:

  • Familiarization with source management repositories such as: Git (GitLab, GitHub, or bare Git), Apache Subversion, or BitBucket
  • Experience with Python, C#, C++, SQL
  • Experience with visualization tools, such as SIMDIS and TENA
  • Experience developing software for the Linux platform
  • Basic knowledge of networking
  • Experience with video processing

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.