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

SKIMS

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. * Apply statistical and ...

SKIMS

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. * Apply statistical and ...

SKIMS

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. * Apply statistical and ...

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

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 ...

The Walt Disney Company

Sr Data Analyst

Santa Monica, CA · On-site

$96K - $121K/yr

Job Posting Title: Sr Data Analyst Req ID: 10157869 The Product & Tech Analytics team is seeking a ... SQL and Python, and provide expert clarity on results. * Analytics Engineering & Reporting ...

CorVel Corporation

Data Analyst III

Irvine, CA · On-site

$95 - $120/hr

Intermediate proficiency in SQL required with the ability to perform stored procedures, temp tables ... Python, etc. with the ability to utilize the language for data manipulation, statistical analysis ...

New

SolluCIO Partners

Senior Data Analyst

Los Angeles, CA

$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 ...

CorVel Career Site

Data Analyst III

Irvine, CA · Hybrid

Intermediate proficiency in SQL required with the ability to perform stored procedures, temp tables ... Python, etc. with the ability to utilize the language for data manipulation, statistical analysis ...

Miller Kaplan Arase LLP

Junior Data Analyst

Burbank, CA · On-site

The Junior Data Analyst in the Data Analytics Department supports both external client engagements ... Proficient in programming with Python or SQL. * Proficient with data visualization tools such as ...

New

K2 Space

Senior Data Analyst

Los Angeles, CA

$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 ...

iSpace, Inc

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Senior Data Analyst Location: Century City, CA (Remote / Hybrid role 1-2 days onsite, 3-4 days ... SQL, Python, Tableau, Looker and Excel * Deep understanding of linear / digital platforms and ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Familiarity with SQL or other query languages. * Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross-functional environment. * Experience working with ...

K2 Space

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 ...

Capstone Energy+, Inc.

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Data Analyst Position Description Date Issued: June 2026 Department: Finance Reports to: VP of ... Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.

Plat.AI

Front-Facing Data Analyst

Glendale, CA · On-site

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

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Los Angeles, CA

Data Analyst Python Sql information

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$89K

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

As of Sep 3, 2026, the average yearly pay for data analyst python sql 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 data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Los Angeles, CA?

For Data Analyst Python Sql jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Los Angeles, CA look for?

The top searched job categories for Data Analyst Python Sql jobs in Los Angeles, CA are:

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Cities near Los Angeles, CA with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Los Angeles, CA as of August 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,046 per year, or $42.8 per hour.

Senior Data Analyst

SKIMS

Los Angeles, CA

$92K - $116K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Skims rating

7.5

Company rating: 7.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear, shapewear, and essentials. We are setting new standards by delivering technically innovative, comfort-driven products with elevated design for everybody.
At the intersection of culture, innovation, and commerce, SKIMS is a global brand redefining modern apparel. Our teams are built on creativity, collaboration, and operational excellence, and we are committed to fostering an inclusive, high-performance environment where ambitious, curious, and values-driven individuals can do the best work of their careers.
As we continue to scale globally, our HQ teams play a critical role in shaping strategy, building world-class infrastructure, and driving sustainable growth across markets.
We are looking for a Senior Data Analyst based in Los Angeles to join our Data & Analytics team. In this role, you will partner closely with a key business function (areas could include Performance Marketing, Product Planning, Merchandising, Operations, or Production) with the final placement informed by your background and where your expertise will have the greatest impact. You will work as part of a collaborative data team while serving as the analytical point of contact for your stakeholders, translating complex data into clear, actionable insights that drive real decisions.
  • Partner with a dedicated business function as the primary analytics contact, owning analytical deliverables and translating business questions into clear, data-driven recommendations. 
  • Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. 
  • Apply statistical and predictive modeling techniques to uncover patterns, forecast outcomes, and support decisions around areas such as customer lifetime value, demand planning, and resource allocation.
  • Identify opportunities for optimization, customer segmentation, and targeting across the supported business function by providing stakeholders with actionable insight into customer preferences, behaviors, and trends. 
  • Design and execute experiments, including A/B tests, to measure the impact of business initiatives and communicate results and recommendations clearly to stakeholders. 
  • Evaluate and validate analytical models using appropriate statistical performance metrics to ensure accuracy and reliability. Develop analytics roadmaps in partnership with business stakeholders, aligning data initiatives to functional goals and translating trend analysis into actionable forecasts. 
  • Partner with data engineering and technology teams to define data requirements, ensure data quality, and build robust pipelines that support reliable, scalable analytics across the organization.
  • Create executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI that empower self-service, data-driven decision making. 
  • Build strong relationships with business stakeholders, proactively identifying analytical needs, communicating findings in clear and compelling ways, and influencing decisions at the leadership level.
  • Serve as a resource and informal mentor to junior team members, sharing expertise in analytical methods, data best practices, and stakeholder communication to continuously elevate the team's capabilities.
  • Strong analytical instincts with the technical skills to back them up. You can access, transform, and model data independently and know how to turn ambiguous questions into structured analysis.
  • A natural communicator and business partner. You don't just produce analysis, you influence decisions. You're comfortable presenting to leadership and translating technical findings into clear business narratives.
  • Curious and self-directed. You thrive in a fast-moving environment, can operate with ambiguity, and take ownership from question to recommendation without needing heavy direction.
  • A team builder at heart. You take pride in sharing knowledge, raising the bar for those around you, and contributing to a data culture where good decisions are the norm.
Requirements: 
  • Bachelor's degree in Statistics, Data Science, or a related field and 5+ years of experience in a senior analytics role. Prior experience in the ecommerce or retail industry (e.g., DTC apparel, fashion, or consumer goods) is a plus. 
Experience must include: 
  • Accessing, transforming, and modeling large datasets using SQL and Python to surface patterns, trends, and actionable insights, including experience applying predictive and statistical models to business problems. 
  • Querying and manipulating large datasets using BI and analytics tools (e.g., Snowflake, SQL, Python, Looker), with strong command of data wrangling, transformation, and exploratory analysis. Designing and measuring experiments, including A/B tests, to evaluate business initiatives. 
  • Creating executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI.
  • Leading end-to-end analytics projects with minimal oversight, defining measurement frameworks and translating ambiguous business questions into structured analytical plans.
Benefits and Culture
  • Up to 100% Company Paid Healthcare (medical, dental, vision) 
  • Kind Body Fertility Benefits   
  • 401(k) savings plan with up to 4% match 
  • Unlimited PTO  
  • Full Access to LinkedIn learning 
  • Employee Discounts  
Perks (HQ Location)
  • Free weekly catered lunch at HQ - M/T/W/Th
  • Dog-Friendly office on a Thursday and Friday
  • Free Swag Giveaways  
  • Annual Holiday Party 
  • Annual Summer Party  
  • Invitations to pop-ups and other company events  
  • Complimentary daily office snacks and beverages 

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