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

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 ...

Senior Data Analyst / Remote

Los Angeles, CA ยท 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 ยท 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 ...

Senior Data Analyst

Los Angeles, CA ยท 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 ...

Data Analyst

Alhambra, CA ยท On-site

$35 - $40/hr

Utilize SQL, SAS, Microsoft Access, Excel, and Business Objects for reporting and data analysis. * Collaborate with cross-functional teams to support ongoing data management initiatives. Skills ...

Senior Data Analyst

Los Angeles, CA ยท 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 ...

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 ...

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 Science Analyst

Los Angeles, CA ยท 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 ...

Sr. Data Analyst

Los Angeles, CA ยท On-site +1

$92K - $116K/yr

Advance SQL skills required, experience with Python, R, or similar scripting languages for data analysis, automation, or prototyping a plus. * Experience building foundational datasets, data models ...

Our GTM and Operations teams rely on rigorous, timely analysis to move fast and make confident ... Strong SQL skills: you can independently query, validate, and explore data without engineer support.

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Data Analyst Python Sql information

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$89K

$146.5K

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

As of Aug 15, 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.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $89,046 per year, or $42.8 per hour.

Front-Facing Data Analyst

Plat.AI

Glendale, CA โ€ข On-site

Other

Re-posted 6 days ago


Job description

We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as

the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.

The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.


Key Responsibilities:


๐Ÿ”น Client & Stakeholder Engagement

  • Serve as the primary analytics point of contact for clients
  • Present performance reports, dashboards, and model insights
  • Translate complex statistical results into clear business recommendations
  • Participate in strategy calls


๐Ÿ”น Data Analysis & Reporting

  • Analyze large datasets to identify trends, risks, and opportunities
  • Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
  • Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
  • Segment performance by channel, risk tier, geography, or campaign
  • Perform root cause analysis on performance shifts


๐Ÿ”น Modeling & Optimization Support

  • Work alongside data scientists to interpret model outputs
  • Conduct A/B testing and performance experiments
  • Identify segments with low performance and recommend optimization strategies
  • Validate model deployment performance in production environments

๐Ÿ”น Cross-Functional Collaboration

  • Coordinate with underwriting, marketing, risk, and engineering teams
  • Assist in translating business requirements into analytical frameworks
  • Support compliance and reporting needs where applicable


Required Qualifications

  • Bachelorโ€™s degree in Statistics, Mathematics, Economics, Computer Science, or related
  • field
  • 2โ€“5+ years of experience in data analytics, preferably in fintech or lending
  • Strong proficiency in SQL
  • Experience with R or Python
  • Experience with BI tools (Tableau, Looker, etc.)
  • Excellent communication and presentation skills
  • Ability to explain technical concepts to non-technical audiences


Preferred Qualifications

  • Experience with underwriting analytics or credit risk modeling
  • Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
  • Knowledge of fraud detection metrics
  • Experience working in a client-facing or consulting environment


Core Competencies

  • Strong analytical thinking
  • Business acumen
  • Executive-level communication
  • Detail-oriented but able to see big picture
  • Proactive problem-solving mindset