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Python Analytics Jobs in California (NOW HIRING)

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 ...

Sr. Python Developer

San Francisco, CA

$143K - $192K/yr

... and analytics, infrastructure, marketing systems. Advanced knowledge of some and a willingness to ... Python, Javascript, PostgreSQL, Node.js, Redis, iOS apps, Android apps. Intelligent. Highly ...

Python Developer

San Francisco, CA · On-site

$59.25 - $81.50/hr

... Analytics and Big Data) o Enterprise Mobility o Cloud Services o Testing o Enterprise Content ... Python Developer Location: San Francisco, CA 94103 The hunt is for an Software Developer with the ...

Analytics: Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have ... Python proficiency - comfortable writing production Python code; Django experience preferred but ...

Python Developer

San Francisco, CA

$59.25 - $81.50/hr

... Analytics and Big Data) o Enterprise Mobility o Cloud Services o Testing o Enterprise Content ... Python Developer Location: San Francisco, CA 94103 The hunt is for an Software Developer with the ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Analytics: Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have ... Python proficiency - comfortable writing production Python code; Django experience preferred but ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Analytics: Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have ... Python proficiency - comfortable writing production Python code; Django experience preferred but ...

Design and maintain systems for data aggregation and analysis * Build UIs that interface with hardware and software systems Required Skills * Expertise developing Python libraries * Strong ...

We offer a survey data analysis platform that allows market researchers, analysts, and marketers to ... We are hiring a Python Software Systems Engineer to help develop and deploy our platform. We are ...

Design and maintain systems for data aggregation and analysis * Build UIs that interface with hardware and software systems Required Skills * Expertise developing Python libraries * Strong ...

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Python Analytics information

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

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.

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.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
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.
Senior Python Developer

Senior Python Developer

eTouch Systems

San Jose, CA • On-site

$142K - $191K/yr

Contractor

Re-posted 15 days ago


Job description

Company Description
eTouch Systems is a global technology solutions and services company specializing in Enterprise Web, Big Data, Test Engineering, Mobility and Business Intelligence/Data Management. We provide high-end technology and business consulting, software development, application testing and systems integration services.
Job Description
Senior Python DeveloperLooking for a passionate Python developer who is excited about joining a team that is execution oriented, fast moving, and running on agile methodology. Direct ClientLocation-San JoseProficient in Programming languages• 6+ years of relevant experience in Python.• Extensive knowledge and experience in popular web development frameworks, like Python, Django, Flask, Jinja2.• Expert-level JavaScript programming and working knowledge of at least one popular JavaScript framework, extensive knowledge in JQuery/Ajax, experience with AngularJS is a plus.• Thorough understanding and knowledge of RESTful API services, experience of consuming services with Python technology stack will be highly considered.Minimum qualifications• 6+ years of relevant work experience, including large systems• Strong analytical and problem solving skills.
Qualifications
BA/BS
Additional Information
eTouch Systems Corporation is an Equal Employment Opportunity Employer that is committed to inclusion and diversity.