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

Advanced Python development for data manipulation and machine learning (NumPy, Pandas, SciPy ... Proficiency in SQL for complex data extraction and platform integration. * Proficiency with data ...

Data Analyst

Irvine, CA · On-site

$70 - $100/hr

Write, debug, and optimize complex SQL queries to extract, aggregate, and analyze massive sets of automotive marketing and inventory data. * Investigate and resolve specific data logic issues ...

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

... such as SQL and DAX * Serves as an internal consultant to business leaders by conducting regular ... Python, and other programming languages * Develop technical as well as process-based solutions ...

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 ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Must be a ... SQL Server / Oracle/ Snowflake (experience with Python is new required but definitely considered a ...

Data Analyst Job ID: KAISJP00230764 Location: Pasadena, Ca 91101 Minimum three (3) years' of related work experience Experience using R, Python, SAS, and/or STATA Five (5) years' of work experience ...

People Data Analyst

El Segundo, CA · On-site

$150K - $200K/yr

Strong SQL skills and experience working with large datasets * Experience with data visualization ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

Strong SQL skills and experience working with large datasets * Experience with data visualization ... Experience with Python or R for advanced analytics * Understanding of statistics, experimentation ...

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Extensive experience writing optimized SQL to build and analyze datasets and associated data ... Familiar with Python data-related libraries (e.g., Pandas, Airflow, Flask, Plotly) * Experience ...

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Extensive experience writing optimized SQL to build and analyze datasets and associated data ... Familiar with Python data-related libraries (e.g., Pandas, Airflow, Flask, Plotly) * Experience ...

Fluent in SQL, data manipulation, and trend analysis in an OLAP environment * Ability to solve problems thoroughly, quickly and creatively with an eye for detail * Hands-on experience in all aspects ...

Fluent in SQL, data manipulation, and trend analysis in an OLAP environment * Ability to solve problems thoroughly, quickly and creatively with an eye for detail * Hands-on experience in all aspects ...

Data Analyst

Los Angeles, CA · On-site

$60 - $80/hr

Experience with Python for data analysis or automation. * Familiarity with Power BI or other data visualization tools. * Exposure to legal or law firm environments is a plus, but not required. #J ...

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 ...

Data Analyst

Valencia, CA · On-site

$70K - $90K/yr

Extract data utilizing queries from AS400 (or SQL) data management system * Partner with internal ... Strong analytical and problem-solving skills * Ability to work independently and maintain ...

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 ...

Global Data Analyst

Carson, CA · On-site

$80 - $100/hr

Proficient in SQL, Power BI, and Excel, with hands‑on experience building visualizations from ... Additional BI/ETL tools, automation skills (Python, Power Automate), or programming knowledge are a ...

Showing results 41-60

Data Analyst Python Sql information

See Los Angeles, CA salary details

$36.6K

$89K

$146.5K

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

As of Sep 5, 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:

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:

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.

Portfolio Data Analyst

Motorola

Los Angeles, CA • On-site

Full-time

Medical, Dental, Retirement

Posted 16 days ago


Key responsibilities

  • Build data pipelines and provide portfolio performance updates using production-grade code.

  • Develop automated decision engines and incorporate AI tools to synthesize data in near real-time.

  • Create and maintain interactive dashboards to enable visibility into feature usage and cloud cost drivers.


Motorola Solutions rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers


Job description

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.


Department OverviewThe Global Product Organization (GPO) is defining the future of safety and security technologies. This role sits within the Strategic Portfolio Management (SPM) team of the Unified Communications (UC) Group. We are unifying siloed voice and data networks into an ecosystem that provides actionable intelligence for end users while fostering an outcome-driven product culture where success is measured by how precisely we solve pervasive market problems.
Job Description

We are seeking an analytical growth architect to bridge the gap between market reality, advanced data infrastructure, and executive strategy. Operating at the structural intersection of Product Development, Sales Operations (RevOps), Data Science, and Strategic Finance, you will focus on utilizing data sources and AI tools for both holistic and product specific business intelligence. In this role, you will move beyond retrospective reporting to build automated strategic foresight and predictive decision engines.

Predictive Machine Learning & Advanced Data Engineering

  • Stochastic Risk Engineering & Code Development: Write production-grade code to build data pipelines and provide portfolio performance updates

  • Automated Decision Engines: Architect "Sense-Decide-Act-Learn" operational loops, incorporating agent-driven AI tools to automate complex data synthesis in near real-time

  • Financial & Monetization Modeling: Develop ad-hoc cost-benefit analyses, SKU attach rates, and competitive assessments to support product planning, roadmap prioritization, and high-margin innovations

Data Visualization & Intelligence Democratization

  • Democratizing Intelligence: Act as an enablement specialist by integrating self-service AI and natural language tools that allow non-technical stakeholders to converse with data

  • Metric Governance & Data Quality: Serve as a system data expert across platforms using SQL, ensuring data integrity, defining KPIs, and optimizing data architecture

  • Scalable Dashboards: Build, modify, and maintain interactive dashboards to enable deep visibility into feature usage and associated cloud cost drivers

Strategic Opportunity Valuation & Foresight

  • Strategic Prioritization: Evaluate and monitor timelines of key initiatives, ensuring key dates are met with the corresponding deliverable or business actions

  • Predictive Foresight & Value-Add Discovery: Proactively discover and quantify the ROI of new feature opportunities, leverage predictive models to anticipate competitive shifts, market changes, and customer behaviors

  • Competitive Intelligence: Maintain a granular understanding of competitive features, availability, and emerging technology across the industry

Technical Skills:

  • Advanced Python development for data manipulation and machine learning (NumPy, Pandas, SciPy, Scikit-learn)

  • Proficiency in SQL for complex data extraction and platform integration.

  • Proficiency with data visualization tools (Tableau or Power BI) and complex financial modeling in Excel

Preferred Qualifications

  • MBA or Master's degree in Data Science, Financial Engineering, or Strategic Portfolio Management

  • Prior experience in top-tier management consulting, corporate strategy, or Revenue Operations (RevOps) in B2B/SaaS

  • Demonstrated "Scientific Tinkerer" mindset, possessing deep intellectual curiosity, rigorous hypothesis testing habits, and comfort operating in fast-paced, high-ambiguity environments


Basic Requirements
  • Education: Bachelor's degree in Economics, Business Analytics, Data Science, Finance, STEM, or a related quantitative field

  • Experience: 2 to 4 years of experience as a data analyst, financial analyst, strategy analyst, or in a product growth/management consulting role within SaaS or high-growth tech environments


Travel RequirementsNone
Relocation ProvidedNone
Position TypeExperienced
Referral Payment PlanNo

Our U.S.Benefitsinclude:

  • Incentive Bonus Plans

  • Medical, Dental, Visionbenefits

  • 401K with Company Match

  • 10 Paid Holidays

  • GenerousPaidTime Off Packages

  • Employee Stock Purchase Plan

  • PaidParental & Family Leave

  • and more!


EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.

We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete thisReasonable Accommodations Formso we can assist you.


What Motorola Solutions employees say

Pay

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Hours and flexibility

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About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928