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Python Data Analysis Jobs in Los Angeles, CA (NOW HIRING)

... Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform exploratory data analysis to identify patterns trends and opportunities for ...

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Proficiency conducting exploratory data analysis * Proficiency with a data visualization tool like ... Familiar with Python data-related libraries (e.g., Pandas, Airflow, Flask, Plotly) * Experience ...

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Proficiency conducting exploratory data analysis * Proficiency with a data visualization tool like ... Familiar with Python data-related libraries (e.g., Pandas, Airflow, Flask, Plotly) * Experience ...

... analysis (preferred) * Strong knowledge of Excel, SQL, and data visualization tools (Tableau/Power BI) * Basic knowledge of Python or R (preferred) Skills * Primary skills: Excel, SQL, data ...

Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn * Proven experience ... Proficiency in data analysis statistical modeling and machine learning theory * Experience with ...

Data Analyst Intern

El Segundo, CA · On-site

$20 - $25/hr

Familiar with SQL, Data Visualization, Statistical Analysis, Python Programming, ETL practices. * A go-getter with energy, creativity and determination to continuously improve and push boundaries.

Data Analyst Intern

Los Angeles, CA · On-site

$20 - $25/hr

Familiar with SQL, Data Visualization, Statistical Analysis, Python Programming, ETL practices. * A go-getter with energy, creativity and determination to continuously improve and push boundaries.

Data Analyst

Huntington Beach, CA · On-site

$90K - $100K/yr

... analysis and data visualization tools (e.g., Python, R, Tableau, Looker) • Proficiency in marketing analytics tools (e.g., Google Analytics, Adobe Analytics) • Strong analytical and problem ...

The Ideal Candidate would support data analysis and visualization, process improvements, business ... Strong experience with Python, R, SQL, Tableau, Power BI * Expertise in AI/ML model development ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python data analysis in Los Angeles, CA is $61.83, according to ZipRecruiter salary data. Most workers in this role earn between $50.96 and $70.24 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Los Angeles, CA? The most popular types of Python Data Analysis jobs in Los Angeles, CA are:
What are popular job titles related to Python Data Analysis jobs in Los Angeles, CA? For Python Data Analysis jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Los Angeles, CA look for? The top searched job categories for Python Data Analysis jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Python Data Analysis jobs? Cities near Los Angeles, CA with the most Python Data Analysis job openings:
Infographic showing various Python Data Analysis job openings in Los Angeles, CA as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $128,611 per year, or $61.8 per hour.
Senior Data Scientist

Senior Data Scientist

Staffingine LLC

Los Angeles, CA • On-site

Contractor

Re-posted 20 days ago


Job description

Job Title: Senior Data Scientist
Job Location: Los Angeles - California - USA
Job Type: Contract

Job Description:

  1. Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes
  2. Perform exploratory data analysis to identify patterns trends and opportunities for business improvement
  3. Collaborate with stakeholders to define key performance indicators and success metrics
  4. Optimize existing data science workflows and models for better performance and accuracy Document methodologies code and findings to ensure reproducibility and knowledge sharing
  5. Support the integration of data science solutions into production environments
  6. Drive continuous improvement initiatives by evaluating new tools and technologies relevant to Python and data science

Skills

Mandatory Skills : Python - Data Science