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Python Analytics Jobs in California (NOW HIRING)

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 ...

Python Developer

San Francisco, CA · On-site

$140K - $175K/yr

We are seeking an experienced Python Developer to join our team supporting the front office. The ... analytics, and model scoring • Establish initial AI governance guardrails including approved ...

Python Developer

Sunnyvale, CA · On-site

$60 - $82.50/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 ...

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 ...

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 ...

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 ...

Python engineer

Los Angeles, CA · On-site

$110K - $130K/yr

Must Have Technical/Functional Skill • Strong analytical, problem determination and resolution skills. • Strong proficiency in Python (2+ years) • Experience with Python frameworks such as ...

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Python Analytics information

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 job categories do people searching Python Analytics jobs in California look for? The top searched job categories for Python Analytics jobs in California are:
What cities in California are hiring for Python Analytics jobs? Cities in California with the most Python Analytics job openings:
Machine Learning Data Collection Specialist

Machine Learning Data Collection Specialist

Prolim Global

Burlingame, CA • On-site

Contractor

Posted 2 days ago


Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking Machine Learning Data Collection Specialist for location Burlingame, California, United States for one of our Top clients

Job Description:

  • 3 + year of experience in either Software or Data Analytics related fields, with experience of using Linux/Android command console, using Python for data analysis. Basic understanding of Computer Vision/Machine learning is preferred but not required.
  • Either Bachelor's degree in STEM fields, or 3+ years industry/academic experience in developing Python software products or Data Analytics, alternatively 1+ year industry/academic experience in Computer Vision/Machine Learning
  • Experience with these Python analytics libraries: Pandas, Numpy, Plotly

Apply online for immediate consideration, please send your updated resume, and contact info via email praful.salunkey@prolim.com

About PROLIM Corporation  

PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services. 

Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.