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Full Time Python Data Analysis Jobs in Birmingham, AL

Motion

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

... analysis, and business intelligence needs. • Designs and manages data security frameworks ... Python, PySpark, Databricks or similar data engineering technologies. • Experience with cloud ...

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

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

Full Time Python Data Analysis information

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$80

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

As of Jul 17, 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.

Can I be a data analyst with just Python?

A data analyst role typically requires knowledge of multiple tools and skills, including SQL, Excel, and data visualization software, in addition to Python. While Python is a valuable skill for data analysis, relying solely on it may limit your ability to perform all necessary tasks effectively. Developing a broader skill set can improve job prospects and performance in data analysis roles.

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.

Is 40 too late for data science?

Full Time Python Data Analysis roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

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 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.
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
Risk & Operations Analyst ONI

Risk & Operations Analyst ONI

O'Neal Industries, Inc.

Birmingham, AL

Full-time

Posted 20 days ago

Job description

Responsibilities Include But Are Not Limited To:

  • Work with ONI operating company team members and external vendors to perform deep-dive analyses on operational spend and propose cost-savings strategies.
  • Monitor vendor performance metrics and contract compliance to ensure we are receiving maximum value and service quality.
  • Evaluate and report on insurance claims, claims history and claims costs to identify trends and to support insurance and claims negotiations.
  • Work directly with Director of Safety to analyze and report on safety and near miss data and develop proactive reports and recommendations to help minimize workplace hazards.
  • Support administration, data integrity, and continuous improvement across various management system platforms related to safety, risk management, and other departments as needed.
  • Support data migration, validation, and system implementation efforts related to management system platforms. Build out automated processes using AI tools to support risk, safety, and other departments as needed at ONI.
  • Utilize Excel, AI and process automation to implement and improve financial and operational reporting. Be a key driver in understanding current AI tools and assist in developing new applications of these tools.
  • Be self-motivated, want to find win-win solutions, and want to help business units identify operational improvements and cost-savings opportunities.
  • Perform third party and vendor risk assessments and compliance monitoring activities.
  • Coordinate and collaborate with internal audit and finance team resources on key projects where needed.
  • Work through root cause analyses of operational and corporate issues. Assist with building out new tools and processes for global risk management issues and monitoring.
  • Perform research on key trends and industry publications to assist with company risk analysis and modeling. Assist with ESG and other regulatory requirements and corporate responses / monitoring.
  • Assist and support governance, regulatory, and risk assessment projects, processes, documentation, and solution tracking activities. Help formalize processes for compliance activities as risk assessments are completed.  This will include both domestic and international territories.
  • Act as a shared resource between Risk, Safety, Finance, and Special Projects.
  • Assist with various ONI Executive team presentations and ad-hoc reporting requests.
  • Continually build relationships with key contacts at ONI operating companies and help drive brainstorming / best practices across the company.

Required Skills and Background:       

  • Bachelor’s degree in Risk Management, Operations, Finance, Economics or Statistics. Master’s degree or professional credential desired but not required.
  • 3+ years of relevant experience dealing with financial analysis, reporting, risk modeling, cost analysis, claims management, investment analysis, etc.
  • A very high level of proficiency with Microsoft Office products, specifically Excel.
  • Working knowledge of Analytics and AI tools such as Power BI, Python, Copilot, Anthropic, ChatGPT, Gemini, etc.
  • Strong project management, technical, and data analytics/analysis skills. Responsible for providing error-free work to all internal and external parties.
  • Communication skills related to data analysis, modeling and the ability to clearly articulate technical projects and recommendations / conclusions.
  • Ability to work semi-autonomously and self-direct daily work.
  • Advanced understanding of general business concepts, including business operations, industry and economic analysis, return and profitability analysis, investment and statistical modeling.
  • Interested in analyzing real-world business challenges and providing recommendations and solutions.

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