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Data Analytics Python Jobs (NOW HIRING)

Position: Data Analytics Analyst I Location: Birmingham, AL Contract : 3 Years Client: Alabama ... Use Python, R, SQL , and visualization tools to identify trends, patterns, and insights. * Build ...

$85K - $108K/yr

Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive analytics), Python (data wrangling, automation), Tableau and Power BI (dashboard development ...

Manager, Data & Analytics

Chicago, IL ยท Hybrid

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Manager, Data & Analytics

Chicago, IL ยท Hybrid

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Senior Data Analyst

$88K - $111K/yr

Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive analytics), Python (data wrangling, automation), Tableau and Power BI (dashboard development ...

Manager, Data & Analytics

Chicago, IL ยท On-site

$74K - $138K/yr

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data. * Build scalable analytical solutions and automate recurring processes. * Collaborate with the Sr. ...

Use ETL and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed * Develop ...

Analyze large and complex datasets using tools such as Python, R, and SQL * Create clear and compelling visualizations using Matplotlib, Seaborn, Tableau , or similar tools * Present data insights ...

Data Analytics

Dallas, TX ยท On-site

$113K - $136K/yr

Data Analysis & Insights ... Perform deep-dive statistical analysis using SQL, Python, or R to identify trends and provide ...

Data Analytics

Dallas, TX ยท On-site

$113K - $136K/yr

Data Analysis & Insights ... Perform deep-dive statistical analysis using SQL, Python, or R to identify trends and provide ...

Data Analytics Analyst

Glendale, CA ยท Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Glendale, CA ยท Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Irvine, CA ยท Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Burlington, NJ ยท Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Irvine, CA ยท Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

... Python, etc to identify trends that lead to actionable problems and defend analysis to promote for ... Data Analytics, Mathematics, Economics or Computer Science; or equivalent and strongly-related ...

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Data Analytics Python information

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$26K

$113.8K

$185.5K

How much do data analytics python jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data analytics python in the United States is $113,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Python professional, and why are they important?

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

What are some typical challenges faced when working as a Data Analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What are Data Analytics Python professionals?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

What is the difference between Data Analytics Python vs Data Analyst?

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

More about Data Analytics Python jobs
What cities are hiring for Data Analytics Python jobs? Cities with the most Data Analytics Python job openings:
What states have the most Data Analytics Python jobs? States with the most job openings for Data Analytics Python jobs include:
Infographic showing various Data Analytics Python job openings in the United States as of May 2026, with employment types broken down into 11% As Needed, and 89% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,761 per year, or $54.7 per hour.

Data Analytics Analyst I

4pconsultinginc

Birmingham, AL โ€ข On-site

Contractor

Posted 7 days ago


Job description

Position: Data Analytics Analyst I

Location: Birmingham, AL
Contract : 3 Years
Client: Alabama Power
ย 

Position Overview

We are seeking a motivatedย Data Analytics Analyst Iย withย 1โ€“3 years of experienceย to support data analysis, reporting, data integration, and business intelligence initiatives.

The ideal candidate will have hands-on experience using tools such asย Python, R, SQL, Tableau, Matplotlib, and Seabornย to analyze data, create visual reports, and deliver meaningful business insights. This role is well-suited for someone with strong analytical skills, attention to detail, and a desire to grow in data analytics, reporting, ETL, and predictive modeling.

Key Responsibilities

  • Collect, clean, analyze, and interpret data from multiple sources.
  • Useย 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.

Required Qualifications

  • 1โ€“3 years of experience in data analytics, reporting, business intelligence, or a related role.
  • Bachelorโ€™s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
  • Proficiency withย SQLย for querying and analyzing data.
  • Experience withย Python or Rย for data analysis.
  • Familiarity with data visualization tools such asย 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 Qualifications

  • 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.

Key Skills

  • Data analysis and reporting
  • SQL querying
  • Python or R
  • Tableau / Power BI
  • Matplotlib / Seaborn
  • ETL and data integration
  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Data validation and documentation