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Python Analytics Jobs in California (NOW HIRING)

Manager, Analytics

Culver City, CA · On-site

$100K - $130K/yr

SQL, Python * Analytics Platforms: Tableau (advanced proficiency preferred), Google Analytics Bonus Points * BS/MS in Statistics. * Tableau Desktop and Tableau Cloud/Server expertise, including ...

Python Developer

Sunnyvale, CA · On-site

$60 - $82.50/hr

* Seasoned Python programmer with extensive knowledge in Django ORM framework and cloud technologies ... Analyze requirements to ensure a compliant and secure infrastructure in cloud. * Managing and ...

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Analyzing business requirements and designing, programming, unit testing and documenting to support ... Python (Async), AWS and SQL. * Required Education and Training (As applicable - Specific education ...

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Analyzing business requirements and designing, programming, unit testing and documenting to ... Python (Async), AWS and SQL. * Required Education and Training (As applicable - Specific education ...

Python Developer

San Jose, CA · On-site

$59 - $81.25/hr

Our company provides application analysis, design, development and programming, software ... The Python Developer will create web applications using primarily Python * Work closely with our ...

Python/ Django + SQL Engineer

San Francisco, CA

$59.25 - $81.50/hr

You will work with a team to build an analytics and metrics platform using Python and common web ... technologies utilizing HTML, CSS and JavaScript. Our datastore is based on MongoDB and SQL, hence ...

Python/ Django + SQL Engineer

San Francisco, CA · On-site

$59.25 - $81.50/hr

You will work with a team to build an analytics and metrics platform using Python and common web ... technologies utilizing HTML, CSS and JavaScript. Our datastore is based on MongoDB and SQL, hence ...

Senior Python Developer

San Jose, CA

$142K - $191K/yr

Senior Python Developer Looking for a passionate Python developer who is excited about joining a ... large systems Strong analytical and problem solving skills. Qualifications BA/BS Additional ...

Senior Python Developer

San Jose, CA · On-site

$142K - $191K/yr

Senior Python DeveloperLooking for a passionate Python developer who is excited about joining a ... systems • Strong analytical and problem solving skills. Qualifications BA/BS Additional ...

Lead Python - Alo Yoga

San Ramon, CA · On-site

$153K - $188K/yr

ShiftCode Analytics, Inc. is seeking a Tech Lead / Staff Engineer to shape backend architecture for ... Required : • Strong backend engineering expertise in Python • Proven experience designing and ...

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Python Analytics information

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 cities in California are hiring for Python Analytics jobs? Cities in California with the most Python Analytics job openings:
Infographic showing various Python Analytics job openings in California as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

Machine Learning Data Collection Specialist

Prolim Global

Burlingame, CA • On-site

Contractor

Re-posted 15 days ago


Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking Machine Learning Data Collection Specialist for location Burlingame, California, United States for one of our Top clients

Job Description:

  • 3 + year of experience in either Software or Data Analytics related fields, with experience of using Linux/Android command console, using Python for data analysis. Basic understanding of Computer Vision/Machine learning is preferred but not required.
  • Either Bachelor's degree in STEM fields, or 3+ years industry/academic experience in developing Python software products or Data Analytics, alternatively 1+ year industry/academic experience in Computer Vision/Machine Learning
  • Experience with these Python analytics libraries: Pandas, Numpy, Plotly

Apply online for immediate consideration, please send your updated resume, and contact info via email praful.salunkey@prolim.com

About PROLIM Corporation  

PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services. 

Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.