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Python Analytics Jobs in Santa Clara, CA (NOW HIRING)

Redolent, Inc

Python programmer

Sunnyvale, CA · Remote

Python programmer LOCATION: Sunnyvale, CA Or Remote - PST Time zone Duration: 6 to 12+ Months Rate ... Analyze requirements to ensure a compliant and secure infrastructure in Azure cloud. Managing and ...

Redolent, Inc.

Python Developer

Sunnyvale, CA

$59 - $81.25/hr

* Seasoned Python programmer with extensive knowledge in Django ORM framework and cloud technologies ... Analyze requirements to ensure a compliant and secure infrastructure in cloud. * Managing and ...

Kanak Elite Services Inc

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Analyzing business requirements and designing, programming, unit testing and documenting to support ... Python (Async), AWS and SQL. * Required Education and Training (As applicable - Specific education ...

Kanak Elite Services Inc

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Analyzing business requirements and designing, programming, unit testing and documenting to ... Python (Async), AWS and SQL. * Required Education and Training (As applicable - Specific education ...

Atria Group LLC

Python Developer

San Jose, CA

$59 - $81.25/hr

Our company provides application analysis, design, development and programming, software ... The Python Developer will create web applications using primarily Python * Work closely with our ...

eTouch Systems

Senior Python Developer

San Jose, CA · On-site

$142K - $191K/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

$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 ...

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All JobsPython Analytics JobsPython Analytics Jobs in Santa Clara, CA

Python Analytics information

See Santa Clara, CA salary details

$15

$68

$101

How much do python analytics jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for python analytics in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

What is the salary of a Python analyst?

The salary of a Python analyst typically ranges from $60,000 to $110,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and Jupyter Notebook tend to earn higher salaries.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

Can I be a data analyst in 3 months?

Becoming a data analyst with a focus on Python typically requires several months of dedicated learning, including skills in data manipulation, visualization, and tools like pandas and SQL. While some individuals may acquire foundational skills in three months, gaining proficiency for a professional role usually takes longer and depends on prior experience and learning pace.

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 still in demand?

Python analytics roles remain highly in demand due to Python's versatility in data analysis, machine learning, and automation. Employers seek professionals skilled in libraries like Pandas, NumPy, and frameworks such as TensorFlow, often requiring proficiency in data visualization and scripting. Staying updated with Python versions and related tools enhances job prospects in this field.

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 are popular job titles related to Python Analytics jobs in Santa Clara, CA? For Python Analytics jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Santa Clara, CA look for? The top searched job categories for Python Analytics jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Python Analytics jobs? Cities near Santa Clara, CA with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Santa Clara, CA as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $143,202 per year, or $68.8 per hour.
Product Data Scientist *** Direct End Client ***

Product Data Scientist *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Posted 25 days ago

Job description

Product Data Scientist

Job Summary

We re hiring a Product Data Scientist to drive insights and deliver data-backed strategies that accelerate growth and enhance customer experience. This role combines advanced analytics, experimentation, and technical expertise to solve complex product challenges.

Responsibilities

  • Formulate data-driven strategies to drive business growth and customer benefit.
  • Generate hypotheses based on customer behavior, industry trends, and market factors.
  • Design and interpret complex experiments beyond traditional A/B testing.
  • Build reusable and scalable analytics solutions to streamline workflows.
  • Communicate insights effectively to influence decision-makers and align cross-functional teams.

Required Skills

  • Technical Tools: Databricks, Tableau, SQL, Python.
  • Advanced SQL for complex queries and data manipulation.
  • Data Visualization: Qlik, Tableau, Plotly Dash.
  • Python Analytics & Modeling: numpy, pandas, scikit-learn.
  • Familiarity with Linux/OS X command line, Git, and general software development practices.
  • Experience with Generative AI and emerging technologies for multi-modal data insights.

Preferred Qualifications

  • Experience solving growth-related problems in fintech companies.
  • Strong analytical mindset with proven ability to design scalable data solutions.
  • Excellent communication and collaboration skills.

Product Data Scientist, Data Science, Analytics, SQL, Advanced SQL, Python, numpy, pandas, scikit-learn, Databricks, Tableau, Qlik, Plotly Dash, Data Visualization, Experiment Design, A/B Testing, Generative AI, Machine Learning, Linux, OS X, Git, Software Development, FinTech, SMB, Growth Strategy, Data Modeling, Data Pipelines, Dashboard Development, Statistical Analysis, Cloud Analytics, Big Data, Data Engineering

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