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

Walmart

Manager, Advanced Analytics

Sunnyvale, CA · On-site

$104K - $202K/yr

Experience building advanced analytics solutions (statistical modeling and predictive modeling) in R and Python to drive insights into business and product growth. Experience designing and executing ...

CoreWeave

Senior Analytics Engineer

Sunnyvale, CA · On-site

... and/or Python. • Expert-level SQL, including writing, optimizing, and debugging complex analytical queries. • Deep experience querying MPP analytical databases such as StarRocks, Snowflake ...

PDF Solutions

Senior Systems Engineer

Milpitas, CA

$130K - $180K/yr

Prototype and implement algorithms using Python * Analyze large data sets to evaluate system behavior and guide system behavior using Pandas, Exensio, and machine learning tools * Document findings ...

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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 Jul 16, 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, 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.

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 a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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 is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
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 July 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% 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.
Operations Business Analyst -(Analytics, sql, python basics)

Operations Business Analyst -(Analytics, sql, python basics)

TriOptus LLC

Sunnyvale, CA • On-site

Contractor

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

Job description

Description:
Overview:
This role will be a key contributor to the Marketplace Partner Payments Financial Operations team with a primary focus on Payments Compliance as well as more general payment related activities.
In this role, you will partner cross-functionally to understand the seller journey, how data is data collected and managed for the purpose of tracking and controlling seller compliance and mitigating the exposure resulting from non-compliance and fraud.
Specific areas of focus include:
• How sellers provide and change their tax and payment information
• Ensuring that the data is properly formed and verified
• Managing data sharing across teams and our payment processors
• Ensuring data integrity and adhering to data privacy guidelines
• Data analysis and reporting
• Process automation and complex system integrations
• Implementing internal and regulatory mandates in a user centric context where clarity and consistency of the user experience are leveraged to maximize adoption and minimize seller friction/attrition
• Interface design and user interaction flows
• Understanding and resolving operational issues in coordination with support teams
• Ability to develop user support documentation to be used by support teams
• General payments, accounting and finance concepts
Key Success Criteria
• Strong analytical aptitude
• Driving ownership and accountability
• Strong customer advocate
• Excellent people skills
• Uses data and analysis to drive decisions
• Fosters trust with internal partners
• Values team dynamics and inputs
• Commitment driven
• Attention to details
• Bias for action
Qualifications
• Business/Finance degree with minor in Computer Science/Statistics or Computer Science/Statistics with a minor in Business/Finance
• Strong organizational skills (PMP, ACP certification)
• Excellent SQL and Excel skills
• Ability to analyze large datasets, summarize findings and make actionable recommendations
• Experience with agile/lean principles to effectively manage requirements, prioritize workstreams and drive quality implementations
Additional Information :
Will this role be hybrid?
  • Yes

If hybrid, how many days per week will need to be in office?
  • Preferred 5 in office (Sunnyvale or San Bruno). flexible 3-5 in office.

Top 3 Skills Needed or Required
  • Analytics, sql, python basics, payment experience nice to have

What are the day-to-day responsibilities?
  • working with stakeholders on payment initiatives

What is the makeup of the team?
  • 1 supervisor, overall team 7 associates

Required Skills : SQL
Basic Qualification :
Additional Skills : Business Intelligence Analyst
Background Check : No
Drug Screen : No

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