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Python Data Analyst Jobs in Alabama (NOW HIRING)

4pconsultinginc

Data Analytics Analyst 3

Birmingham, AL · On-site

... 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 ...

LG Electronics

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 ...

B&A

Senior Data Analyst

Huntsville, AL

$80K - $101K/yr

Description Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of ... Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation

Bart & Associates

Senior Data Analyst

Huntsville, AL · On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation

Genuine Parts Company

BI Data Analyst

Birmingham, AL · On-site

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 ...

DivIHN Integration Inc

HR Data Analyst

Huntsville, AL · On-site

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. • ...

Bart and Associates, Inc

Senior Data Analyst

Huntsville, AL · On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation

Genuine Parts Company

BI Data Analyst

Birmingham, AL · On-site

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 ...

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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:
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:
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 Analytics Analyst 3

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 7 days ago

Job description

Data Analytics Analyst 3

Location:  Birmingham, AL ( HYBRID)

Contract- 3 Years

Client- Alabama Power
 

Job Summary

We are seeking an experienced Data Analytics Analyst (Level 3) with 5–10 years of experience to support enterprise-wide decision-making in the utilities sector. This position is responsible for developing advanced analytics solutions, integrating data from multiple sources, and presenting actionable insights to business and engineering leaders. The ideal candidate has strong technical skills, a background in ETL, SQL, and visualization, and the ability to translate complex datasets into meaningful business recommendations.

Key Responsibilities

  • Data Analysis & Reporting

    • Analyze complex operational and financial datasets to identify patterns, trends, and opportunities.

    • Develop dashboards, reports, and visualizations using Power BI and related tools.

    • Apply statistical and analytical techniques to provide actionable insights for stakeholders across utility operations, finance, and engineering.

  • Data Integration & ETL

    • Extract, transform, and load (ETL) data from multiple sources, ensuring data integrity and accuracy.

    • Develop and optimize queries using SQL, Python, DAX, and Power Query.

    • Maintain and improve data pipelines to support ongoing business operations.

  • Business Support & Collaboration

    • Partner with project managers, engineers, and finance teams to provide data-driven recommendations.

    • Support regulatory, financial, and operational reporting requirements.

    • Present findings clearly to both technical and non-technical stakeholders.

  • Innovation & Process Improvement

    • Explore and implement automation and low/no-code solutions to improve reporting efficiency.

    • Proactively identify opportunities for data-driven improvements in processes, systems, and performance tracking.

Qualifications

  • Education:

    • Bachelor’s Degree in Computer Science, Data Science, Statistics, Engineering, Finance, or related field (required).

  • Experience:

    • 5–10 years of hands-on experience in data analytics, ETL, and dashboard/report development.

    • Strong experience with SQL, Python, DAX, Power Query, and Power BI.

    • Experience with financial data analysis (preferred).

    • Knowledge of utility operations, engineering, or energy-related datasets is a strong plus.

    • Prior experience with Azure, Databricks, or big data technologies is advantageous.