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Python Data Analysis Jobs in California (NOW HIRING)

You should possess deep expertise in Python, data science libraries, and visualization/BI tools to lead advanced analytics initiatives supporting mission-critical objectives. The ideal candidate ...

Python, R, or SQL preferred * Understanding of data cleaning, structuring, and basic statistical analysis * Strong communication skills and ability to explain insights clearly * Ability to work in a ...

Data Analyst Intern

Emeryville, CA · On-site

$22 - $32/hr

We're looking for a motivated Data Analyst Intern to join our team. You'll play a hands-on role in ... Proficiency in Excel (advanced formulas/pivots) and foundational knowledge of SQL and Python or R ...

Data Analyst Intern

Emeryville, CA · On-site

$22 - $32/hr

We're looking for a motivated Data Analyst Intern to join our team. You'll play a hands-on role in ... Proficiency in Excel (advanced formulas/pivots) and foundational knowledge of SQL and Python or R ...

... Python or R for data analysis, modeling, and automation. • Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics. • Experience with A/B ...

... Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus * Exposure to statistics, process analysis, forecasting, or ...

... Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus * Exposure to statistics, process analysis, forecasting, or ...

... Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus * Exposure to statistics, process analysis, forecasting, or ...

... Python, SQL, R, and/or Excel * Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn) is a plus * Exposure to statistics, process analysis, forecasting, or ...

Python, R, or SQL preferred * Understanding of data cleaning, structuring, and basic statistical analysis * Strong communication skills and ability to explain insights clearly * Ability to work in a ...

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

... in Python or R for data analysis. * Knowledge of A/B testing methodologies and statistical analysis. * Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools

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Python Data Analysis information

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$13

$57

$85

How much do python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data analysis in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
What are the most commonly searched types of Python Data Analysis jobs in California? The most popular types of Python Data Analysis jobs in California are:
What job categories do people searching Python Data Analysis jobs in California look for? The top searched job categories for Python Data Analysis jobs in California are:
What cities in California are hiring for Python Data Analysis jobs? Cities in California with the most Python Data Analysis job openings:

Full-time

Posted 13 days ago


Job description

Job Description:
Location: Santa Clara, CA
1. Strong in advance SQL
2. Good at data analysis
3. Should be able to build BI dashboards using Tableau & Power BI
4. Candidate should be able to assist business stakeholders to build their dashboards
Supply chain domain knowledge
Interview: BB test + L1 + 3 end customer round
Data Analytics role:
3 Positions:
1: Strong SQL, Tableau & Data Analytics
2. Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python
3. Strong SQL, Tableau ,Databricks and AWS with Domain specific