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

Echo IT Solutions

Python AI

Santa Clara, CA · On-site

$164K - $201K/yr

Automated code reviews and refactoring, Dependency analysis and impact assessment, Regression ... Python/.NET best practices, and AI-assisted development techniques. • Support sprint planning ...

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 ...

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 ...

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 ...

Ursus, Inc.

Python Engineer (5+ YOE)

Fremont, CA · On-site

Ursus, Inc. is seeking a Python Engineer proficient in AI technologies to develop advanced AI ... Ursus, Inc., has been recognized by Staffing Industry Analysts (SIA) for four consecutive years as ...

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · On-site

$142K - $192K/yr

We are looking for an experienced Python developer with a passion for Generative AI and hands-on ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

Evolver

Senior GenAI Engineer (Python)

Palo Alto, CA · Hybrid

$142K - $192K/yr

We are looking for an experienced Python developer with a passion for Generative AI and hands-on ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

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Showing results 21-40

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 Aug 6, 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 are the key skills and qualifications needed to thrive as a Python Analytics professional?

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.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

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.

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.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
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 August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $143,202 per year, or $68.8 per hour.

FullStack Python Developer

WinMax Systems Corporation

Mountain View, CA • On-site

Contractor

Re-posted 18 days ago

Job description

Job Description

Job Title: Full stack python developer

Location: Mountain View, CA

Duration: 6 months

Duties:

- Responsible for the development of web applications enabling hardware and software teams.

- Develop data analytic solutions for regression tracking

- Design and implement a MySQL DB to store and to generate regression data.

- Work with other member of the team to automate different applications

Qualifications

Skills:

Excellent Python Development skills (6+ years)• Good database design and development using MySQL & bull; Excellent web application development skills with HTML, CSS, JavaScript, Node.js Excellent problem solving skills Hands on experience using Django or symphony frameworks Good knowledge in REST and AJAX APIs Experienced in optimizing webserver performance and scalability Ability to deliver projects with minimal guidance.


Additional Information

Education: Bachelor's or Master's degree in computer science or equivalent

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