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Python Analytics Jobs in Atlanta, GA (NOW HIRING)

Procure Analytics

Financial Data Analyst

Atlanta, GA · On-site

... Python, or R experience is a plus Requirements Qualifications * -Bachelor's degree in Finance, Accounting, Economics, Business Analytics, Data Analytics, Supply Chain, Industrial Engineering, or a ...

Infosys

Python AWS Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

... analyse results, and coordinate bug fixes to uphold the software quality standards • Develop ... Required Skill and Experience • Hands-on expertise in Python • Extensive experience with AWS ...

Pwc

GenAI Python Systems Engineer-Manager

Atlanta, GA · On-site

$99K - $232K/yr

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 ...

Yamaha

Risk & Analytics Manager

Marietta, GA

Responsibilities include, but are not limited to, building analytical and statistical methods to ... SQL, SAS, Python) * Proven experience in offering thought leadership to solve business problems

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All JobsPython Analytics JobsPython Analytics Jobs in Atlanta, GA

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How much do python analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for python analytics in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What are popular job titles related to Python Analytics jobs in Atlanta, GA? For Python Analytics jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Atlanta, GA look for? The top searched job categories for Python Analytics jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Python Analytics jobs? Cities near Atlanta, GA with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Atlanta, GA as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $117,257 per year, or $56.4 per hour.

Financial Data Analyst

Procure Analytics

Atlanta, GA • On-site

Other

Posted 9 days ago

Job description

Description

Company Overview


Strong Private Equity Ownership

  • In December 2021, Genstar Capital invested in PA, along with a large rollover from Bregal Sagemount and the management team.
  • Genstar Capital is a leading private equity firm that has been actively investing in high-quality companies for over 30 years. Based in San Francisco, Genstar has developed a strong market reputation of working in partnership with management teams and its network of strategic advisors to build industry-leading businesses while generating outsized returns. Genstar's vision is to help build lasting, impactful companies that will continue to succeed well beyond their ownership.

  • Genstar currently has approximately $33 billion of assets under management and targets investments focused on targeted segments of the software, industrials, healthcare, and financial services industries. In 2020, Genstar was ranked 2nd worldwide in aggregate private equity fund performance (out of 529 PE firms) and ranked 3rd in 2019 (out of 497 PE firms) by HEC-Dow Jones. For more information, please visit www.gencap.com.


Key Responsibilities

  • -Collect, clean, validate, and analyze financial, procurement, pricing, sales, and operational data.
  • -Support budgeting, forecasting, financial modeling, and scenario analysis.
  • -Prepare budget-to-actual and forecast-to-actual variance analyses and assist with management reporting.
  • -Maintain recurring reports, dashboards, and KPI tracking for revenue, pricing, customer activity, supplier performance,  expenses, and profitability.
  • -Support revenue planning, headcount forecasting, expense planning, and monthly financial reporting.
  • -Analyze supplier pricing, customer pricing, contracts, and rebate data to identify trends, discrepancies, and opportunities.
  • -Assist with rebate calculations, reconciliations, documentation, and forecasting.
  • -Maintain and improve reporting tools using Excel, Power BI, SQL, and other business intelligence platforms.
  • -Perform data-quality reviews and reconcile financial and operational data for accuracy and completeness.
  • -Provide ad hoc analysis and reporting to Finance, Accounting, Business Development, Account Management, and Supplier   Relations.
  • -Create reports, presentations, and visualizations that clearly communicate key findings.
  • -Identify opportunities to automate reporting, improve processes, and strengthen data quality.
  • -Maintain documentation for reports, models, and analytical processes.
  • -Perform other duties as assigned.

Key Skills

  • -Strong Microsoft Excel skills, including PivotTables, lookups, SUMIFS, and basic financial modeling
  • -Basic SQL knowledge
  • -Familiarity with Power BI, Tableau, or similar reporting tools
  • -Understanding of budgeting, forecasting, financial reporting, and variance analysis
  • -Strong analytical, problem-solving, and organizational skills
  • -High attention to detail and data accuracy
  • -Ability to manage multiple priorities and meet deadlines
  • -Strong written and verbal communication skills
  • -Experience with ERP, CRM, or database systems is a plus
  • -Knowledge of procurement, pricing, supply chain, or rebate programs is a plus
  • -Power Query, VBA, Python, or R experience is a plus

Requirements

Qualifications

  • -Bachelor's degree in Finance, Accounting, Economics, Business Analytics, Data Analytics, Supply Chain, Industrial Engineering, or a related field
  • -0-2 years of experience in financial analysis, FP&A, data analytics, business analysis, procurement, or a related area; internships and co-op experience considered
  • -Ability to learn quickly, work independently with guidance, and collaborate across teams
  • -Experience with financial reporting, data analysis, pricing, procurement, or project coordination is preferred

Apply