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

Excelhire

Data Analyst

Los Angeles, CA

$32/hr

Data Analyst - Join Our Team Data Analyst Los Angeles, CA | Full-Time | CTC, W2 Job Summary We are ... Basic knowledge of Python or R (preferred) Skills * Primary skills: Excel, SQL, data visualization ...

1 point system

Data Analyst

Irvine, CA · On-site

Perform data analysis to explain trends, anomalies, and root causes ... Write and execute queries to pull data from multiple sources (SQL, Python). * Apply statistical ...

ZURU

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.

ZURU

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.

Pacificlife

Sr Data Analyst

Newport Beach, CA · On-site

$92K - $116K/yr

Strong hands-on experience in data analysis using SQL, Python, and data profiling techniques to identify anomalies, data quality issues, gaps, and inconsistencies across source and target systems.

Pop-Up Talent

Data Analyst

Van Nuys, CA · On-site

$85K - $105K/yr

Data Analyst Van Nuys, CA 91406 (On-Site) THE POSITION: * An established and growing organization ... Working knowledge of SQL, shell scripting, (Python, or R) * Experience supporting finance or ...

Posted today

FieldAI

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 ...

FieldAI

Field Data Analyst

Irvine, CA

$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 ...

FieldAI

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 ...

KRAFTON Americas

Data Analyst

El Segundo, CA · On-site

As a Game Data Analyst on the NA team, you'll sit at the intersection of game development, product ... Advanced SQL; proficiency in Python or R for analysis and automation * Familiarity with live ...

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 ...

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 ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$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 ...

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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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$36.6K

$89K

$146.5K

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

As of Jul 31, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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:
What cities near Los Angeles, CA are hiring for Data Analyst Python Sql jobs? 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 July 2026, with employment types broken down into 2% Internship, 72% Full Time, 3% Part Time, and 23% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $89,046 per year, or $42.8 per hour.

Data Analyst 3 (Korean Bilingual)

Intac Solution

Santa Ana, CA

$42 - $55/hr

Full-time

Re-posted 21 days ago

Job description

Job Title: Data Analyst 3 (#17536-1)
Position Details

  • Role: Sr. Data amp; Reporting Analyst (Data Analyst 3)

  • Pay Rate: Up to $55.00 / hr (Depends on education/qualifications)

  • Location: 3 MacArthur Place, Santa Ana, CA, USA (Fully Onsite)

  • Duration: 6 Months (06/29/2026 – 12/28/2026)

  • Language: Bilingual English/Korean (Required)

Role Summary

The Sr. Data amp; Reporting Analyst serves as the analytical engine for warehouse operations and logistics cost management. This role is responsible for all points of data mining, extraction, manipulation, analysis, and report automation. Turning complex enterprise data into clear, actionable business insights, the analyst will develop and publish daily, weekly, and monthly KPIs. Strong bilingual communication skills are critical, as the targeted audiences for these reports include senior leadership and global headquarters in Korea.

Top Skills

  • Advanced Data Management amp; Tools: Mastery of Python, SQL, Access, Excel, and database/ETL process design.

  • BI Dashboards amp; Automation: Experience building, maintaining, and automating reports and dashboards using BI tools (Tableau, Power BI, etc.).

  • Logistics amp; SCM System Literacy: Strong hands-on experience within SAP and Warehouse Management Systems (WMS).

  • Bilingual Communication (English/Korean): Exceptional written and verbal communication skills to interface with multi-cultural executive levels and HQ.

Key Responsibilities

  • Data Mining amp; Analytics: Extract and manipulate data from multiple large-scale sources to design, implement, and automate enterprise ETL and reporting processes.

  • KPI amp; Operational Reporting: Create, maintain, and publish standard and complex ad-hoc reports (charts, graphs, tables) monitoring warehouse operational metrics, logistics performance, and transportation costs.

  • Dashboard amp; Automation Management: Maintain existing dashboards and design automated reporting methods to ensure data accuracy and timely generation (99+% achievement targets).

  • Business Intelligence Support: Help drive critical business decisions and identify performance improvement opportunities by providing in-depth quantitative analysis and data-driven recommendations.

  • Cross-Functional Collaboration: Interact closely with broad operational teams to validate data, resolve discrepancies, and ensure consistent information sharing through daily/weekly briefings.

Qualifications

  • Education: Bachelor's degree in Business Analytics, Engineering, Mathematics, Computer Science, Accounting, or a related technical field.

  • Experience: Minimum 3 years of experience in data analysis within logistics, distribution center, warehouse, or supply chain environments (5–7 years preferred per Beeline requirements). Proven track record in cost analysis and report automation.

  • Technical Tools: High proficiency in Python, SQL, MS Excel, Access, PowerPoint, Tableau, SAP, and WMS. Experience with Microsoft SharePoint is a plus.

  • Certifications: Process certifications such as Six Sigma, CBPP, BPM, ISO, ITIL, or CMMI are a strong plus.

Core Competencies

  • Critical Thinking amp; Problem Solving: Exceptional analytical skills with the ability to handle highly diverse conditions and execute work assignments independently under minimal supervision.

  • Attention to Detail: Meticulous approach to tracking data accuracy and delivering objective, simple, and structured presentations of complex data.

  • Stress amp; Time Management: Ability to employ effective time management while working under tight time schedules, technical data feedback loops, and language barriers in a multi-cultural environment.

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About Intac Solution

Sourced by ZipRecruiter

Intac Solution, established in 2015 in Dallas, TX, started up with a group of leaders with over 15 years of experience in the mobile device engineering industry. Our company specializes in discovering talents and serving solutions to S/W & H/W Development, Testing Outsourcing, Market Research & Data Analysis to provide limitless solutions to Client Projects. We are dedicated to make sure our clients receive high quality services by providing options to continuously monitor status and quality of different projects. Currently employing over 300 members across the board, ITS is a fast growing company due to its performance, resources, and innovated services. In 2017, within 2 years of establishment, we expanded providing resourcing services to clients to different locations within the United States. ITS is continuing to grow by completing new team projects effectively and successfully.

Industry

Marketing

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

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