2

Full Time Python Data Analysis Jobs in Birmingham, AL

Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ... Depending on your eligibility, options for full-time employees include: medical/prescription drug ...

Be Seen First

Monday, Friday 1-3 Years Experience Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights ...

Strong programming and technical competency in large-scale data analysis using Python, R, and SQL; experience with cloud-based analytics platforms such as Databricks is preferred. * Experience ...

Strong programming and technical competency in large-scale data analysis using Python, R, and SQL; experience with cloud-based analytics platforms such as Databricks is preferred. * Experience ...

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 ...

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 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

next page

Showing results 1-20

Full Time Python Data Analysis information

See Birmingham, AL salary details

$12

$54

$80

How much do full time python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for full time python data analysis in Birmingham, AL is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $45.29 and $62.40 per hour, depending on experience, location, and employer.

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

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python Data Analysis jobs in Birmingham, AL? The most popular types of Python Data Analysis jobs in Birmingham, AL are:
What are popular job titles related to Full Time Python Data Analysis jobs in Birmingham, AL? For Full Time Python Data Analysis jobs in Birmingham, AL, the most frequently searched job titles are:
What job categories do people searching Full Time Python Data Analysis jobs in Birmingham, AL look for? The top searched job categories for Full Time Python Data Analysis jobs in Birmingham, AL are:

Data Analytics Analyst I 4P/685

4P Consulting Inc.

Birmingham, AL • On-site

Full-time

Posted 3 days ago


Job description

Job Summary:
4P Consulting Inc. is seeking a motivated Data Analytics Analyst I to support data analysis and business intelligence initiatives. The role involves collecting and analyzing data, creating visual reports, and collaborating with teams to understand data needs.
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.
Qualifications:
Required:
• 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:
• 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.
Company:
4P Consulting is a highly specialized Staffing and Recruiting company with significant experience and expertise in the Engineering industry, IT, Admin, Accounting, Advertising . Founded in 2012, the company is headquartered in Kennesaw, Georgia, US, , with a team of 11-50 employees. The company is currently Early Stage.