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Data Analytics Python Jobs (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python * Conduct exploratory data analysis (EDA ...

Dexian DISYS

Data Analytics Analyst

Atlanta, GA · On-site

$50 - $55/hr

Data Analytics Analyst Atlanta, GA 6 Months $50-55/HR Experience: 3-5 years Skills ... Python, SQL, Databricks, Power BI Role: Write Databricks queries, join data sources, and build ...

New

Dexian

Data Analytics Analyst

Atlanta, GA · On-site

$50 - $55/hr

Data Analytics Analyst Atlanta, GA 6 Months $50-55/HR Experience: 3-5 years Skills ... Python, SQL, Databricks, Power BI Role: Write Databricks queries, join data sources, and build ...

New

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

At NuView Analytics - we help companies accelerate the time to insights from their data. We do this ... R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ...

Specialty Foods Group

Data Analytics Manager

Delphi, IN · Remote

Data Analytics Manager Location: This is a remote position Travel: Up to 25 percent, with heavier ... Automate data processes using tools such as SQL, Python, R, or Alteryx Process Improvement and ...

New

Mattel, Inc.

Manager, Data Analytics

El Segundo, CA · On-site

... Python or R for statistical analysis, data processing, and modeling • Experience with data visualization and BI tools such as Tableau, QuickSight, Looker, or similar platforms • Strong ...

NuView Analytics

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

At NuView Analytics we help companies accelerate the time to insights from their data. We do this ... R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ...

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How much do data analytics python jobs pay per year?

As of Jul 13, 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.

Is 40 too late for data science?

Data Analytics Python 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 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 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.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building models, and handling large datasets, making it a valuable skill for the role.

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, which are difficult for AI to fully replicate. Therefore, while AI may change some aspects of the job, it is unlikely to fully replace data analysts in the near future.

What is the salary for Python data analytics?

The salary for a Python data analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, machine learning, and certifications may earn higher salaries. Entry-level positions generally start lower, while senior roles can exceed this range.

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
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What states have the most Data Analytics Python jobs? States with the most job openings for Data Analytics Python jobs include:
What job categories do people searching Data Analytics Python jobs look for? The top searched job categories for Data Analytics Python jobs are:
Data Analytics Python jobs near you

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Re-posted 16 days ago

Job description

Overview:
Job Title: Data Analyst
Job Location: Remote
Interview: Virtual
Job Duration: 6 Months Contract
Overview:
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.
Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
  • Perform data validation and quality checks using SQL and Python
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights
  • Analyze data structures, relationships, and lineage to ensure data integrity
  • Ensure data is usable, consistent, and reliable for analytics, BI, and business teams
  • Support data manipulation, reporting, and downstream data consumption
  • Collaborate with stakeholders to understand data requirements and usage

Required Qualifications
  • Bachelor's degree (Master's or PhD preferred)
  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
    • Data shape, relationships, and storage
    • Data quality, consistency, and lineage
    • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications
  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

Skills:
Data Analyst,pYTHON

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