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Entry Level Python Data Analysis Jobs in Los Angeles, CA

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance * Use best-in ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance * Use best-in ...

Integritymarketing

Remote Data Analyst

Orange, CA · On-site

Working knowledge of at least one programming language for data analysis (Python, R, or similar tool). * Database Skills : Knowledge of database & data warehouse structure, experience using SQL for ...

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All JobsPython Data Analysis JobsEntry Level Python Data Analysis JobsEntry Level Python Data Analysis Jobs in Los Angeles, CA

Entry Level Python Data Analysis information

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How much do entry level python data analysis jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level python data analysis in Los Angeles, CA is $35.48, according to ZipRecruiter salary data. Most workers in this role earn between $22.79 and $39.62 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

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:

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For Entry Level Python Data Analysis jobs in Los Angeles, CA, the most frequently searched job titles are:

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What cities near Los Angeles, CA are hiring for Entry Level Python Data Analysis jobs?

Cities near Los Angeles, CA with the most Entry Level Python Data Analysis job openings:

Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Los Angeles, CA as of June 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,796 per year, or $35.5 per hour.

Senior Marketing & Data Analyst

The Misch Group

Los Angeles, CA • On-site, Remote

$175K - $240K/yr

Full-time

Re-posted 25 days ago

Job description

Senior Marketing & Data Analyst
Department: Technology & Software
Employment Type: Full Time
Location: California
Compensation: $175,000 - $240,000 / year
Description
As a senior marketing data analyst, you will aggregate and perform analysis on demand generation and marketing data based on requests from project teams or senior leadership by integrating data from multiple data sources or functional areas. You will ensure data accuracy and integrity; updates data as needed and develop queries or reports to provide data for various analytical projects. This position is also responsible for interpreting key market data to identify business trends, conducting root cause analysis of business problems, and proposing areas for process improvement.
Key Responsibilities
  • Lead large, handles complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
  • Possesses comprehensive knowledge in the business and data landscape, standardized reporting, experimentation, and analysis to support performance discussions across multiple channels.
  • Proactively help the business leverage data and insights to enhance our ability to inform on event management efforts and increase the efficacy of our approaches. Provide rhythm of the business analytics support, actionable insights, and recommendations to optimize and scale flagship events.
  • Apply a customer/stakeholder-oriented focus and user experience design best practices to ensure data analysis is easily consumable through visualization, presentation, and storytelling.
  • Working with technical team on technical requirements to enable data availability, data quality, transformations, and integrity for analytics and wider business self-service usage.
  • Execute data analysis using multiple data sets and sources. Lead discussions interpreting results and connecting them to relevant business context. Provide actionable recommendations to optimize business investments in a way that can be repeated and scaled as needed.
  • Define, build, and maintain performance metrics, dashboards, and analysis. Provide relevant information in an automated, self-service, and efficient manner to enable business optimization and tracking.
  • Provides coaching, and/or mentoring to other members of the group and act as a data analytics lead.

Skills, Knowledge and Expertise
  • Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years' experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
  • 1+ years' experience with data visualization tools such as Power BI, Tableau, or Looker.
  • 1+ years' experience utilizing SQL AND Excel for data manipulation and analysis.
  • 1+ years' experience with Python and/or R for statistical analysis and data modeling is a plus
  • 2+ year of hands-on experience with Data Analytics tools and services or like products/services.
  • Ability to foster teamwork, analytical thinking skills, statistical knowledge, technical expertise, computer skills, detail oriented, ability to meet deadlines, mathematical skills, project management skills.
  • Experience with Generative AI (GenAI) applications in a marketing context is a plus.

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