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Temporary Python Data Analyst Jobs in Los Angeles, CA

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Senior Data Analyst Department: Technology Reports To: Director of Emerging Technologies Location ... Utilize SQL, Python, R, or other tools to extract and manipulate large datasets. Explore ...

Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross-functional environment. * Experience working with Microsoft SharePoint and the broader Microsoft ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data ... Design and implement automated workflows using SQL, Python, Snowflake, and related tools to ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data ... Design and implement automated workflows using SQL, Python, Snowflake, and related tools to ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). * Experience with data visualization tools (e.g., Tableau, Power BI) is advantageous. * Basic understanding of ...

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel. Collaboration * Partner ...

People Data Analyst

El Segundo, CA · On-site

$150K - $200K/yr

In this role, you will leverage data to inform critical decisions about our workforce, improve ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

Healthcare Data Analyst

Orange, CA · On-site

$85K - $115K/yr

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel. Collaboration * Partner ...

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as the ... Experience with R or Python * Experience with BI tools (Tableau, Looker, etc.) * Excellent ...

Global Data Analyst Dermalogica continues to lead the professional skin care industry with ... Additional BI/ETL tools, automation skills (Python, Power Automate), or programming knowledge are a ...

Showing results 21-40

Temporary Python Data Analyst information

See Los Angeles, CA salary details

$36.6K

$89K

$146.5K

How much do temporary python data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for temporary python data analyst in Los Angeles, CA is $89,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $104,500.00 per year, depending on experience, location, and employer.

What is a temporary Python data analyst?

Temporary Python data analysts are professionals hired on a short-term basis to analyze data using the Python programming language. They clean, organize, and interpret data sets, often creating visualizations or reports to help businesses make informed decisions. Their contracts may last for a few weeks to several months, depending on the project's needs. Python data analysts are valued for their ability to automate data processing and provide actionable insights quickly.

What is the difference between Temporary Python Data Analyst vs Temporary SQL Data Analyst?

AspectTemporary Python Data AnalystTemporary SQL Data Analyst
Required SkillsPython, data analysis, scripting, basic SQLSQL, data querying, database management, some Python
Work EnvironmentData analysis projects, scripting tasks, data visualizationDatabase querying, report generation, data extraction
CertificationsPython certifications, data analysis coursesSQL certifications, database management courses

Both roles are common in data-driven industries and often overlap in skills like data querying. The main difference is that the Temporary Python Data Analyst focuses on scripting and analysis using Python, while the Temporary SQL Data Analyst specializes in database querying and management. Your choice depends on whether your focus is on programming and analysis or database operations.

What are the key skills and qualifications needed to thrive as a temporary Python data analyst, and why are they important?

To thrive as a Temporary Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and experience with data manipulation, typically supported by a relevant degree or equivalent experience. Familiarity with data analysis libraries (such as pandas and NumPy), SQL databases, and data visualization tools is often required. Attention to detail, problem-solving ability, and effective communication make someone stand out in this position. These skills ensure accurate data analysis, actionable insights, and clear reporting to support business decisions within a limited timeframe.

What types of projects and data sets does a temporary Python data analyst typically work with, and how is their work integrated into the team’s overall objectives?

Temporary Python Data Analysts often handle time-sensitive projects such as data cleaning, exploratory analysis, and automation of reporting tasks using Python. They frequently work with diverse data sets, which may include sales figures, customer behavior metrics, or operational logs, depending on the industry. Their analyses and scripts are typically designed to support ongoing projects or to fill immediate gaps, and their findings are integrated into the team's decision-making processes. Collaboration is common, with analysts working closely with data engineers, business analysts, and project managers to ensure their contributions align with broader team goals and deadlines.

Data Analyst, Manufacturing

Anduril Industries

Santa Ana, CA • On-site

Other

Posted 8 days ago


Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,035 frontline employees who took The Breakroom Quiz


Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril's Manufacturing Operations team is seeking a Production Data Analyst to join our team. The Manufacturing Operations team ensures the company's production processes run smoothly, efficiently, and are continuously improving to deliver cutting-edge defense capabilities. This team uses data-driven methodologies and advanced analytics to optimize production lines, improve manufacturing efficiency, and drive operational excellence. Reporting directly to Manufacturing Operations leadership, the team works cross-functionally across engineering, supply chain, and business operations to ensure factory processes meet and exceed world-class operational goals.
ABOUT THE ROLE
As a Data Analyst for the Manufacturing team at Anduril, you will be a key player in advancing the efficiency and effectiveness of Anduril's production operations. You will use your expertise in data analytics to dive deep into production metrics, operational workflows, and system performance to extract actionable insights. Your work will empower manufacturing teams to identify bottlenecks, improve quality, streamline production processes, and scale operations intelligently. Together with manufacturing leadership, you will ensure that production data can be leveraged to solve critical challenges, inform strategic decisions, and build the next generation of defense manufacturing capabilities.
WHAT YOU'LL DO
  • Use manufacturing/production and operational data to develop insights and solutions that optimize workflows, enhance productivity, and improve product quality in the manufacturing process.
  • Create advanced dashboards and analytics tools using visualization platforms (e.g., Tableau, Power BI) and programming languages (e.g., SQL, Python, etc.) to measure and communicate performance metrics, identify trends, and drive improvements.
  • Collaborate with cross-functional teams to align analytics solutions with production objectives and broader business goals.
  • Act as a primary liaison between manufacturing operations and other business units, including IT and engineering teams.
  • Contribute to the integration, improvement, and optimization of manufacturing systems, including MES, ERP, and WMS.
  • Support the creation of seamless data workflows between systems to drive reliability and efficiency.
  • Lead and facilitate Lean Manufacturing, Six Sigma, Kaizen, or other initiatives to drive production teams toward best-in-class operational standards.
  • Monitor equipment performance, identify downtime patterns, and work on predictive maintenance strategies to prevent disruptions.
  • Conduct in-depth analysis of resource utilization, production outputs, and process flows to diagnose performance issues and recommend solutions.
  • Develop, track, and refine manufacturing KPIs to measure performance, highlight inefficiencies, and ensure accountability across production operations.
  • Document production processes, analytics workflows, and best practices to provide a foundation for training and ongoing operational improvements.
  • Stay updated on emerging technologies and industry trends in manufacturing analytics, digital transformation, and advanced automation to identify innovations Al and advanced data applications.

REQUIRED QUALIFICATIONS
  • Bachelor's degree in Data Science, Manufacturing/Industrial Engineering, Computer Science, Software Engineering, Operations Management, or a related field. A Master's degree is preferred (e.g., MBA, MS in Engineering, or Data Science).
  • Minimum of 5 years of experience in a manufacturing, business intelligence, or data analytics role with a focus on production data.
  • Proven ability to develop actionable insights that drive observable efficiency, productivity, and quality improvements.
  • Advanced skills in data visualization and analytics tools, including Tableau, Power BI, Python, SQL, or similar platforms for reporting and dashboard creation.
  • Solid understanding of manufacturing systems (MES, ERP, WMS) and data integration with operational workflows.
  • Proficiency in data modeling, pattern identification, and advanced statistical analysis of production performance metrics.
  • Experience working with manufacturing/production teams to understand on-the-ground challenges and develop scalable solutions to address them.
  • Exceptional communication and stakeholder management skills for conveying complex data in actionable, meaningful ways.
  • Highly organized and capable of independently prioritizing tasks to meet deadlines in a fast-paced environment.
  • Ability to lead cross-functional initiatives toward continuous improvement and data-driven transformation.
  • Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

PREFERRED QUALIFICATIONS:
  • Hands-on experience implementing and scaling data insights for predictive maintenance or process control using AI, machine learning models, or digital twin systems.
  • Familiarity with predictive analytics platforms, tools, and strategies that enhance production performance.
  • Demonstrated knowledge of industrial controls, SCADA, MES, and related protocols like ISA-95 or OPC UA.
  • Advanced data and business intelligence certifications such as Power BI Expert, Tableau Professional, Six Sigma Black Belt, or similar credentials.
  • Successful track record of applying Lean, Six Sigma, or other process optimization methodologies within manufacturing environments.
  • Experience working in defense, aerospace, or similarly regulated manufacturing environments with strict quality and security standards.

US Salary Range
$112,000-$149,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
  • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
  • Please always verify communications:
    • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
    • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to
  • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
  • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy
To view Anduril's candidate data privacy policy, please visit
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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