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Python Analyst Jobs in California (NOW HIRING)

InterSources

PL/SQL and Python

San Leandro, CA · Hybrid

$55.50 - $76.75/hr

PL/SQL And Python Developer Location: San Leandro, CA Onsite San Leandro, CA at least 4 days a week ... Collaborate with cross-functional teams to gather and analyze requirements, ensuring alignment with ...

SynergisticIT

Python Developer

Fremont, CA · On-site

$55 - $75.75/hr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. Who Should Apply * Recent IT graduates looking to make their ...

eTouch Systems

Senior Python Developer

San Jose, CA

$142.40K - $191.60K/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 ...

eTouch Systems

Senior Python Developer

San Jose, CA · On-site

$142.40K - $191.60K/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 ...

PTR Global

Python Developer

San Francisco, CA · On-site

$59.25 - $81.50/hr

THIS WAS CREATED BY AI, REVIEW BEFORE POSTING Senior Software Engineer - Python / PySpark ... Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering ...

Bright Vision Technologies

Python Developer

Fremont, CA · Remote

$100K - $150K/yr

Python Developer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... Gather, analyze, and synthesize large and diverse datasets to support continuous improvement of ...

Diverse Lynx

GenAI Python Developer

Irvine, CA · On-site

$54 - $74.25/hr

... Analytical skills Candidate should display sense of ownership and accountability of their ... Python, SQL, Gen AI Platform/Environment: AWS Database Management System: RDS Application Packages ...

Ova Technologies

Job Title:Python Developer

Encino, CA · On-site

$52.75 - $72.50/hr

Python Developer Location: CA Job Type: Full time Experience Level: Senior About the Role We are ... Exposure to data analysis, machine learning, or data science libraries (e.g., Pandas, NumPy ...

Cynet Systems

Python Principal Architect

San Jose, CA · On-site

$75 - $80/hr

Strong expertise in Python and SQL. * Experience designing enterprise-grade applications. * Hands ... Strong knowledge of architecture decision-making and trade-off analysis. * Experience with ...

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How much do python analyst jobs pay per year?

As of Jun 3, 2026, the average yearly pay for python analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a Python Analyst job?

A Python Analyst is a professional who uses Python to analyze data, build models, and automate tasks. They work with large datasets, extract insights, and create reports to support decision-making. Their role often involves data cleaning, visualization, statistical analysis, and scripting for process automation. Python Analysts are commonly found in industries such as finance, healthcare, marketing, and technology. Strong analytical skills, programming expertise, and knowledge of data analysis libraries like Pandas and NumPy are essential for this role.

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

To thrive as a Python Analyst, you need strong proficiency in Python programming, data analysis, and statistical methods, often supported by a degree in computer science, mathematics, or a related field. Experience with data visualization tools, SQL databases, and certifications such as Microsoft Certified: Data Analyst Associate or relevant Python credentials are highly beneficial. Excellent problem-solving skills, attention to detail, and effective communication help set top candidates apart. These skills ensure the accurate analysis and presentation of data, enabling informed decision-making and collaboration within organizations.

What are the typical daily responsibilities of a Python Analyst?

Python Analysts spend their days gathering, cleaning, and analyzing large datasets to uncover actionable insights for their organizations. They write and maintain Python scripts to automate repetitive tasks and use data visualization tools to present their findings to stakeholders. Collaboration with data scientists, business analysts, and IT team members is common, as analysts work to translate data into meaningful recommendations. You'll also regularly validate data quality, troubleshoot code, and stay current with best practices in data analytics. This role offers a dynamic mix of technical work and cross-functional teamwork.

What does a Python analyst do?

A Python analyst uses Python programming to analyze data, develop models, and automate tasks. They often work with data analysis libraries like pandas and NumPy, and may create visualizations or reports to support decision-making.
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Python Analyst jobs near you
Application Developer/Backend Python

Application Developer/Backend Python

Apex Informatics

San Jose, CA • Hybrid

Other

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

Job description

Title: Python Backend Engineer/Application developer on W2
Location: San Jose, CA (Hybrid)
Duration: long term
Job Description:
Experience:
• 8+ years of professional experience in software development, with a strong emphasis on backend development in Python
• Experience with modern data warehousing technologies (e.g., Big Query, Analytics Hub) and has informed perspectives on their advantages, limitations, and how they fit into evolving data architectures.
• High proficiency and strong skills in Cloud Technologies, object-oriented, and familiarity with AWS Lambda, Dynamo DB, GCP Dataflow, Pub-sub, Analytics Hub, and hands-on Typescript experience is a plus.
Top 3 Skills:
Python Development - • Advanced proficiency in Python for building scalable, reliable, and high-performance backend systems.
Cloud Platforms (GCP or Equivalent) - • Strong experience designing, deploying, and managing applications on Google Cloud Platform (GCP) or similar cloud environments (AWS, Azure).
Big Data Technologies - • Hands-on expertise with big data frameworks and tools (e.g., Hadoop, Spark, Beam, or equivalent) for processing and analyzing large-scale datasets

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