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Python Data Analysis Jobs in California (NOW HIRING)

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

Tror AI for everyone

Data Analytics

Santa Clara, CA · On-site

... and Python 1.    Strong in advance SQL 2.    Good at data analysis 3.    Should be able to build BI dashboards using Tableau & Power BI 4. Experience in Databricks, AWS and ...

Excelhire

Data Analyst

Los Angeles, CA

$32/hr

... analysis (preferred) * Strong knowledge of Excel, SQL, and data visualization tools (Tableau/Power BI) * Basic knowledge of Python or R (preferred) Skills * Primary skills: Excel, SQL, data ...

Bloom Energy

Stack Data Analysis Engineer

San Jose, CA

$95.10K - $136.90K/yr

Experience in MySQL database, and Python programing * Experience in 3D modeling, 3D data analysis, and image processing * Design and Build hardware with hand-on experience is a plus * Strong ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142.70K/yr

Write efficient Python scripts for data manipulation, analysis, and automation. * Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis. * Collaborate with data ...

Staffingine LLC

AI/ML Engineer

Los Angeles, CA · On-site

Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn * Proven experience ... Proficiency in data analysis statistical modeling and machine learning theory * Experience with ...

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How much do python data analysis jobs pay per hour?

As of May 31, 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.
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Director, Data Analytics & Strategic Solutions

Director, Data Analytics & Strategic Solutions

Thermo Fisher Scientific

Carlsbad, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 388 frontline employees who took The Breakroom Quiz

186th of 512 rated manufacturers

Job description

Job Summary:
Thermo Fisher Scientific is a leading company in the Life Sciences Group, and they are seeking a Director of Data Analytics & Strategic Solutions. In this role, you will design and support scalable data analytical solutions, lead AI transformation projects, and manage a team of data engineers and analysts to modernize the digital supply chain initiatives.
Responsibilities:
• Lead and scale digital transformation and AI initiatives, from ideation to implementation, that align both predictive analytics and machine learning with business needs.
• Own and drive the end-to-end data and analytics roadmap—partnering with executives to align priorities to business objectives and leading teams through disciplined execution and delivery
• Re-imagine, modernize, and scale the data solutions architecture and reporting suite for faster, more reliable access to insights and efficiency
• Manage and mentor a global team of data engineers, data partners, and data analysts and collaborate to ensure successful project delivery
• Lead a monthly Technology Governance Board to ensure that data analytics projects align to strategy, achieve intake goals, and are not redundant
• Provide hands-on technical support and troubleshooting of data solutions, including investigation of data issues, validation, and load balancing.
• Set standards and best practices for analytics and visualization platforms (including Power BI), ensuring scalable, well-governed, and business-ready insights
• Define analytics engineering direction in alignment with IT platform choices, enabling modern tools such as Databricks, Git-based development, and scalable cloud-native analytics architecture
• Keep abreast of industry trends and best practices in supply chain and operations analytics
Qualifications:
Required:
• Bachelor’s or Advanced Degree in Computer Science, Computer Engineering, Mathematics, or related field preferred.
• 8+ years technical engineering experience with top industry tools to include, but not limited to, SQL, Python, Data Bricks, GitHub, etc.
• 4+ years of management experience leading analytics teams.
• 4+ years of experience with data engineering, business intelligence (visualization/dashboard/reporting), data science, data analysis, business analysis
• Proven experience modernizing analytics across 10+ ERP systems and consolidating data from traditional data warehouses or lakes into centralized analytical platforms.
• Hands-on experience in data preparation, data gateway, and data warehousing projects.
• Working knowledge of relational database design and data modeling.
• Strong written and verbal communication skills (English).
• Ability to communicate with internal and external customers (including communicating technical information to nontechnical audiences).
Preferred:
• Life Sciences supply chain consulting experience driving large scale transformations is a plus.
Company:
Thermo Fisher Scientific is a biotechnology and laboratory equipment company that provides a wide range of scientific products and services. Founded in 1956, the company is headquartered in Waltham, USA, with a team of 10001+ employees. The company is currently Late Stage.

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