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Python Analytics Jobs in California (NOW HIRING)

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 ...

Senior Python Developer

San Jose, CA · On-site

$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 ...

Senior Python Developer

San Jose, CA

$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 ...

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 ...

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 ...

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

Python AI

Santa Clara, CA · On-site

$163K - $200K/yr

Tech Lead Python /.Net and software development using Gen AI Tools We are seeking an experienced ... Dependency analysis and impact assessment * Regression detection and test automation * Operational ...

Sr. Python Developer

San Francisco, CA

$143K - $192K/yr

... and analytics, infrastructure, marketing systems. Advanced knowledge of some and a willingness to ... Python, Javascript, PostgreSQL, Node.js, Redis, iOS apps, Android apps. Intelligent. Highly ...

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Showing results 1-20

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:
python Developer

$59.50 - $82/hr

Full-time

Posted 27 days ago


Job description

PYTHON Developer--San Jose,CA--W2 only
Responsibilities:
• Create and deliver automation software required for building & improving the functionality, availability, and manageability of application and cloud platform using Python language
• Design, architect, and build self-service, self-healing, monitoring and alerting platform and tools
• Automate the development and test automation processes through CI/CD pipeline (Git, Jenkins, SonarQube, Artifactory, Docker containers)
• Collaborate with other core services teams to design and develop solution
• Interpret high-level requirements and refine as agile-based implementation stories
• Mentor other team members in cloud technology skills and programing
Required Skills and Experience
• 6+ years of solid hands-on software development experience with a focus on continuous delivery and deployment, cloud automation development and enterprise application development
• Software programming experience in one or more programming languages: Python (must), Go
• Excellent knowledge of building server-side RESTful web applications, APIs and automation tools
• Understanding of Software design patterns, SDLC, Test Driven Development (TDD), Continuous Integration and Continuous Delivery
• Experience building cloud-based application using micro-services and deploying in containerized environments
• Experience in using public cloud providers to develop and deploy applications
• Possess good understanding of QA methodologies and processes
• Experience working in an agile development environment
• Strong analytical and problem-solving skills
• Strong communication and collaboration skills
Desired SkillS
• Programming experience in Go
• Configuration Management Tools - Ansible/Puppet, Terraform
• Experience building an integrated test automation platform/framework
• Experience with service assurance tooling such as ElasticSearch, Logstash, Kibana, Kafka InfluxDB, Splunk