ZipRecruiter

Log In

2

Entry Level Python Data Analysis Jobs in Los Angeles, CA

Capstone Energy+, Inc.

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

KEY RESPONSIBILITIES Data Analysis & Reporting * Collect, validate, and analyze large datasets from ... Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.

Dlapiper

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Los Angeles, CA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Goodwill

Data Analyst - IT

Santa Ana, CA · On-site

$93.60 - $127.46/hr

Working proficiency in Python for data manipulation and analysis (e.g., pandas, NumPy). * Hands-on experience designing or maintaining data pipelines in Azure Data Factory (or a comparable ETL/ELT ...

previous page

Showing results 41-60

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

See Los Angeles, CA salary details

$14

$35

$66

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

As of Sep 5, 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:

What are popular job titles related to Entry Level Python Data Analysis jobs in Los Angeles, CA?

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

What job categories do people searching Entry Level Python Data Analysis jobs in Los Angeles, CA look for?

The top searched job categories for Entry Level Python Data Analysis jobs in Los Angeles, CA are:

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.

Data Analyst

Capstone Green Energy Holdings LLC

Van Nuys, CA • On-site

$85K - $105K/yr

Full-time

Re-posted 18 days ago

Job description

Data Analyst
Position Description
Date Issued:
June 2026
Department:
Finance
Reports to:
VP of Finance
Location:
Van Nuys, CA
Position Purpose:
We are seeking a highly analytical and detail-oriented Data Analyst to support data-driven decision-making across the organization. This role will be responsible for transforming raw data into actionable insights, developing dashboards and reports, and partnering cross-functionally to improve operational and financial performance. The ideal candidate combines strong technical skills with business acumen and the ability to clearly communicate findings to senior leadership. This is an on-site role.
DESTINATION STATEMENT Who we strive to be:
Who We Strive to Be: We will be the first choice when energy matters. Our bespoke solutions solve the energy trilemma of resiliency, sustainability, and affordability. We push boundaries, challenge norms, and drive change. We’re committed to making the impossible possible in the energy sector.
Safety: Our commitment to safety and security is uncompromised. At the end of each day, we are only successful when all associates can return home to their families in good wellness. Safety and security is at the heart of our advanced engineering that allows us to design, build and operate our units to do no harm.
Technology: We dare to innovate and are not afraid to fail. Our unique, stable inverter-based technology is at the forefront of the industry creating a seamless integration with our customers’ energy systems. We are a high precision power technology company.
Our Team: An intense zeal for excellence drives us. We are a collaborative team focused on building trust and engaging in healthy conflict to solve difficult problems quickly. Our sense of urgency ensures we meet both our own high standards and the evolving needs of our customers.
KEY RESPONSIBILITIES
Data Analysis amp; Reporting
  • Collect, validate, and analyze large datasets from multiple sources including ERP, CRM, and operational systems.
  • Develop dashboards and recurring reports using BI tools (e.g., Power BI, Tableau, Looker) to support Finance and cross-functional leadership.
  • Build and maintain queries and data models to support reporting accuracy, consistency, and scalability.
Insights amp; Decision Support
  • Identify trends, anomalies, and performance drivers; translate findings into clear, actionable recommendations for senior leadership.
  • Partner with Finance, Operations, Sales, and Executive Leadership to define KPIs, metrics, and reporting frameworks.
  • Support forecasting and scenario modeling through advanced analytics to inform strategic and operational decisions.
Process Improvement amp; Data Governance
  • Automate manual reporting processes to improve efficiency, reduce error risk, and free capacity for higher-value analysis.
  • Ensure data integrity, governance, and documentation standards are maintained across all reporting outputs.
QUALIFICATIONS
Education amp; Experience
  • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Finance, Economics, or a related field.
  • 1–3 years of experience in data analytics, business intelligence, or a related role.
  • Demonstrated ability to translate complex data into clear, concise insights for non-technical stakeholders.
Skills amp; Abilities — Required
  • Advanced proficiency in Microsoft Excel required.
  • Experience with BI tools (Power BI, Tableau, or equivalent); ability to build and maintain production-ready dashboards.
  • Strong communication skills with the ability to present findings and recommendations to Finance leadership and cross-functional teams.
  • Analytical rigor and meticulous attention to detail; strong problem-solving capability.
  • Ability to manage multiple priorities simultaneously in a fast-paced environment.
  • Intellectual curiosity and a continuous process improvement mindset.
Skills amp; Abilities — Preferred
  • Experience working with ERP systems (NetSuite, SAP, Oracle, or similar) is a strong plus.
  • Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.
  • Background in a manufacturing, energy, or operationally complex environment.
WHAT SUCCESS LOOKS LIKE
  • Finance and operating leadership have reliable, trusted dashboards that reduce ad hoc reporting requests and accelerate decision-making.
  • Manual reporting processes have been identified, documented, and systematically automated — reducing cycle time and human error.
  • KPIs and performance metrics are clearly defined, consistently measured, and actively used across Finance, Operations, and Sales.
  • Data integrity and governance standards are in place and maintained, with documentation that supports audit and scalability.
  • The Data Analyst is recognized as a key analytical partner to the VP of Finance and broader leadership team.
WORK ENVIRONMENT
  • On-site at Capstone’s Van Nuys, CA headquarters; regular in-office presence required.
  • Collaborative, cross-functional environment with direct exposure to Finance, Operations, Sales, and Executive leadership.
  • Extended periods of sitting and computer use are typical for this role.
  • Willingness to work beyond a standard 40-hour workweek as driven by reporting cycles, close periods, or business needs.

Apply