ZipRecruiter

Log In

1

Python Analytics Jobs in California (NOW HIRING)

Evolver

Senior Python Developer

Palo Alto, CA · Hybrid

$142K - $192K/yr

As a Senior Python Developer, you will lead the design, development, and deployment of scalable ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

Evolver

Senior Python Developer

Palo Alto, CA · On-site

$142K - $192K/yr

As a Senior Python Developer, you will lead the design, development, and deployment of scalable ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Source origins of data inaccuracies through data pipeline dependencies and python code base

Tror AI for everyone

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 ...

next page

Showing results 1-20

All JobsPython Analytics JobsPython Analytics Jobs in California

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 are popular job titles related to Python Analytics jobs in California? For Python Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in California look for? The top searched job categories for Python Analytics jobs in California are:
What cities in California are hiring for Python Analytics jobs? Cities in California with the most Python Analytics job openings:
Python Analytics jobs near you
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 Software Engineer/Python Developer

Futran Tech Solutions Pvt. Ltd.

Santa Clara, CA • On-site

$142K - $191K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Software Engineer/Python Developer
Location: Bellevue, WA / Santa Clara, CA (Onsite day 1)
Long term Contract
Mandate - Python, Multi-threading, AWS (RDS, S3)
Job Description:
  • 6+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
  • 2+ years of design, implementation, or consulting experience in applications or infrastructures?
  • Minimum 3 years of technical support and/or systems/solutions engineering, and/or development experience
  • Minimum 3 years of experience with HTML and Javascript.
  • Minimum 3 years' experience with Python, Pip, and Virtual Python Environments
  • Ability to run and debug code through an IDE such as PyCharm or VSCode, with the ability to demonstrate:
  • Setting, stepping over, into, and out of breakpoints
  • Setting and viewing watches
  • Observing and modifying variables in the debugger
  • Usage / benefit of selecting different frames of execution
  • Must have Lambda experience

Apply