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Python Data Analyst Jobs in Alabama (NOW HIRING)

vTech Solution

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Python is widely used for automation, data validation, and integration with analytics pipelines; SQL is essential for querying and reporting. * Data Modeling & Warehousing: Understand ETL/ELT ...

Kemper

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

... analytics, and business applications using SQL, Informatica, IICS, Snowflake, and Python. * Data Validation and Quality Assurance Develop and execute data validation routines for extracts ...

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Python Data Analyst information

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because 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.
More about Python Data Analyst jobs
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:
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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:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Alabama as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 76% Full Time, 13% Part Time, 1% Temporary, and 8% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Analyst SME | Excel | PowerBI | Architect Level with Security Clearance

Kforce Federal Solutions

Huntsville, AL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Data Architect / Senior Data Analyst (SME) – TS Cleared ***One Round Interview / faster offers! *** Start 3-4 weeks*** Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours)
Clearance: Active Top Secret Required
Employment Type: W2 Consultant (Kforce)
Benefits: Medical, Dental, Vision, 401(k), and more Overview
We are seeking a Data Architect / SME-Level Data Analyst to support a mission-critical federal program focused on advanced data analytics, operational intelligence, and national security initiatives. This is a high-impact, hands-on role working with large-scale, complex datasets in secure environments, where your work directly supports decision advantage and operational readiness.
You will operate at the architect level, designing scalable data solutions while also driving deep analytical insights using modern data platforms. Key Responsibilities
Architect, design, and optimize data pipelines and data platforms, with a strong focus on Databricks and backend data processing
Perform advanced analysis using SQL and Python (Pandas, EDA) across large, complex datasets
Develop and maintain high-impact dashboards and visualizations using Power BI and/or Tableau
Ensure data integrity, validation, and quality control across multiple data sources
Collaborate with cross-functional teams across engineering, analytics, and infrastructure
Translate mission requirements into actionable insights and technical solutions
Support data governance, compliance, and secure data handling practices
Drive performance tuning and optimization of data workflows and analytics environments Required Qualifications
Active Top Secret clearance
8+ years of experience in data analytics, data engineering, or data architecture Strong expertise in:
Databricks (backend / architecture focus)
SQL (advanced queries, optimization)
Python (Pandas, data analysis, EDA) Experience with data visualization tools (Power BI, Tableau)
Proven experience working with large datasets in secure or regulated environments
Ability to operate at a senior/SME or architect level, owning solutions end-to-end Work Environment
Fully onsite at Redstone Arsenal (Huntsville, AL)
Monday–Friday within standard core business hours
Secure environment supporting real-world mission operations
Direct collaboration with highly skilled technical and mission-focused team Why Join Kforce?
As a W2 consultant with Kforce, you’ll have access to a strong benefits package and ongoing support: Aetna Medical, Dental, and Vision coverage
401(k) retirement plan with options to invest
Competitive weekly pay
Paid time off (where applicable)
Dedicated recruiter and care team support
Opportunities to work on high-visibility, mission-driven programs Impact
This role offers a unique opportunity to design and deliver data solutions that directly support national priorities, enabling leadership to make informed, real-time decisions in a highly secure environment. Apply Today
Join a team where your expertise in data architecture and advanced analytics directly contributes to mission success. Contact Recruiter Directly:
Brenton Anderson
Email: LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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