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Data Analytics

Santa Clara, CA · On-site

Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1.    Strong in ...

CVS Health

Lead Python Developer, Data Analytics

Cary, IL · On-site +1

$67K - $199K/yr

... Python to develop new reporting and analytics using healthcare data (medical, pharmacy, lab) Create business applications to deliver clinical or analytic solutions to constituents in a self-service ...

CVS Health

Lead Python Developer, Data Analytics

Phoenix, AZ · On-site +1

$67K - $199K/yr

... Python to develop new reporting and analytics using healthcare data (medical, pharmacy, lab) Create business applications to deliver clinical or analytic solutions to constituents in a self-service ...

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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 25, 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 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.

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:
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
Infographic showing various Data Analytics Python job openings in the United States as of June 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $113,761 per year, or $54.7 per hour.
Product Owner with Data and analytics

Product Owner with Data and analytics

Programmers.io

San Antonio, TX • On-site

Contractor

Posted 20 days ago

Job description

Role Descriptions:

Essential Skills: Primary Skill Product Owner in Data AnalyticsSecondary Skill Snowflake|Channel analytics|Python

7 + yrs of experience in Product Owner with Data and analytics Experience.

Desirable Skills:
 

Keyword:

Skills: Domain : Product Ownership~Database Technology

Experience Required: 6-8

CL-BFSI Americas 10501603
Development product Owner (Data Analytics) Product Owner  Product Owner in Data Analytics

Comments for Suppliers:      7 + yrs of experience in Product Owner with Data and analytics Experience.