ZipRecruiter

Log In

2

Full Time Python Data Analysis Jobs in Birmingham, AL

Munich Re

Actuarial Data Scientist (FCAS)

Birmingham, AL · On-site +1

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal ... Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ...

FocusKPI

Marketing Operations Analyst

Birmingham, AL · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Birmingham, AL · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

previous page

Showing results 41-60

All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in Birmingham, AL

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 Sep 8, 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 is a full time python data analyst?

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 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 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 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:

Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Birmingham, AL as of June 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $114,274 per year, or $54.9 per hour.

Data Engineer / API Integration Developer

The McPherson Companies

Trussville, AL

Full-time

Re-posted 3 hours ago

Job description

General Summary:

Hands-on Data Engineer / API Integration Developer to help build and support modern data pipelines, system integrations, automation workflows, and internal web applications. This role will work across business systems, cloud platforms, databases, APIs, and AI-assisted development tools to deliver practical solutions that improve operational visibility, process automation, and enterprise data flow.

The ideal candidate is a builder who can move between data engineering, API development, workflow automation, and application prototyping. This person should be comfortable using Python, SQL, PHP, n8n, Snowflake, AWS services, and AI-assisted development tools to rapidly develop, test, and deploy business solutions. Experience with JD Edwards EnterpriseOne is a strong plus.

Primary Responsibilities and Duties:

  • Design, build, and maintain data pipelines between enterprise applications, databases, cloud platforms, and internal systems.
  • Develop API integrations between ERP, CRM, service platforms, third-party applications, and custom internal tools.
  • Build and maintain workflows using n8n and similar automation platforms.
  • Develop scripts, services, and lightweight applications using Python, PHP, SQL, and modern web technologies.
  • Work with Snowflake to support data ingestion, transformation, modeling, and reporting needs.
  • Support integration with cloud AI platforms such as AWS Bedrock and related services.
  • Assist in the development of internal AI-enabled tools, workflow automations, and business process applications.
  • Use AI-assisted development tools and “vibe coding” practices responsibly to accelerate development while maintaining quality, security, and maintainability.
  • Build and support web applications, internal portals, dashboards, and integration interfaces.
  • Partner with IT, finance, operations, sales, and business stakeholders to understand requirements and translate them into technical solutions.
  • Create reusable integration patterns, documentation, error handling, logging, and monitoring for production workflows.
  • Assist with data quality, data profiling, data mapping, and source-to-target validation.
  • Work with authentication, authorization, and identity platforms such as WorkOS or similar tools.
  • Support integrations involving ERP, CRM, service management, eSignature, document automation, analytics, and AI workflow platforms.
  • Troubleshoot production issues related to APIs, ETL jobs, workflows, databases, and application integrations.
  • Other duties and responsibilities as assigned by management.

Position Requirements:

  • Strong experience with Python development for data engineering, API integrations, automation, and backend services.
  • Strong SQL skills, including querying, joins, stored procedures, data validation, and performance troubleshooting.
  • Experience developing or consuming REST APIs, webhooks, JSON, XML, and other integration patterns.
  • Experience with PHP or similar backend web development languages.
  • Experience building workflows or automations using n8n
  • Experience with cloud-based data platforms, preferably Snowflake.
  • Experience working with AWS services; AWS Bedrock experience preferred.
  • Experience building internal web applications, portals, dashboards, or business process tools.
  • Understanding authentication and authorization concepts such as OAuth, SAML, JWT, API keys, and role-based access control.
  • Ability to use AI-assisted development tools effectively while still understanding, validating, and securing the code produced.
  • Strong troubleshooting skills across applications, databases, APIs, and workflow automation tools.
  • Ability to document technical designs, integration flows, dependencies, and support procedures.

Preferred Qualifications:

  • Experience with JD Edwards EnterpriseOne, Orchestrator, AIS, business functions, tables, or JDE integrations.
  • Experience integrating ERP, CRM, service management, billing, AR, AP, or financial systems.
  • Experience with Oracle databases, Microsoft SQL Server, or other enterprise relational databases.
  • Experience with data modeling, data warehousing, ELT/ETL patterns, and analytics enablement.
  • Experience with AWS Bedrock, AI agents, vector databases, RAG patterns, prompt engineering, or AI workflow automation.
  • Experience with WorkOS or other identity/access management platforms.
  • Experience with GitHub, CI/CD pipelines, Docker, containerized applications, and DevOps practices.
  • Experience with JavaScript, TypeScript, Node.js, React, or similar web application frameworks.
  • Experience working in a mid-market enterprise environment with a mix of legacy systems and modern cloud platforms.

The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the associate a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.

The McPherson Companies, Inc. is an Equal Opportunity Employer – M/F/Vets/Disabled.