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Data Analytics Python Jobs (NOW HIRING)

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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 ...

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc

CYNET SYSTEMS

Operations Data Analyst

Oakland, CA · On-site

$77 - $82/hr

Data analytics (Python, Excel, conduct data queries as needed). * Power BI (advanced skills, ability to create executive boards and day-to-day dashboards for business analytics). * SAP. * Microsoft ...

Programmers.io

Product Owner

San Antonio, TX · On-site

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:

BMO Capital Markets

Manager, Data & Analytics

Chicago, IL · 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. ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · 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. ...

Subaru

Data Analytics Developer

Lafayette, IN · On-site

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 ...

4pconsultinginc

Data Analytics Analyst 3

Atlanta, GA · On-site

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 ...

Cotality

Data Analytics

Dallas, TX · On-site

$113K - $136K/yr

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

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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 Jul 15, 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.

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Data Analytics Python jobs near you
Product Owner with Data and analytics

Product Owner with Data and analytics

Programmers.io

San Antonio, TX • On-site

Contractor

Re-posted 10 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.