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

Astiva Health

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

TriOptus LLC

Data Analyst

El Segundo, CA · On-site

SQL and database digging (role would be focused on data support for upcoming product enhancement and analysis) * Analytical thinking (there are no pre-existing solutions for the most of the request ...

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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

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

As of Aug 6, 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:
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 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $89,046 per year, or $42.8 per hour.

Healthcare Data Analyst

Astiva Health

Orange, CA • On-site

$85K - $115K/yr

Full-time

Re-posted 20 days ago

Job description

About Us:
Astiva Health, Inc., located in Orange, CA is a premier healthcare provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.
SUMMARY:
The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical, operational, and financial decision-making within Medicare Advantage programs. This role focuses on key areas including risk adjustment, quality measures (HEDIS and Star Ratings), pharmacy adherence, and claims analysis.
The analyst collaborates with clinical, quality, pharmacy, and provider teams to identify trends, monitor program performance, and support CMS regulatory reporting. The role also includes developing automated data workflows and reporting solutions that deliver timely, actionable insights across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:
Data Analysis & Reporting
  • Analyze medical and pharmacy claims, membership, supplement, lab, risk adjustment, and encounter data to support Medicare Advantage quality, risk, and operational programs.
  • Develop and maintain dashboards and reports for HEDIS, Star Ratings, medication adherence, RAF/HCC performance, and EDPS encounter data.
  • Identify trends, care gaps, and performance opportunities to support quality improvement, pharmacy initiatives, and risk adjustment efforts.
  • Provide analytics and reporting to MSOs/IPAs and internal teams, including quality, pharmacy, and risk adjustment.
  • Support regulatory and CMS-related analyses, including encounter data monitoring, claims acceptance, and HCC performance.
  • Deliver consolidated reporting and insights to leadership for strategic decision-making.
  • Examine payments, cost of care, and utilization data to produce metrics for bid submission and JOMs or to address concerns from business partners.
  • Support ad hoc reporting needs across the organization.

Data Quality & Validation
  • Validate and reconcile claims, pharmacy, provider, membership, supplement, and lab data to ensure accuracy and completeness.
  • Investigate and resolve data discrepancies, anomalies, and reporting issues across Medicare Advantage data sources.

Technical & Database Work
  • Write and optimize SQL queries and stored procedures for data extraction, transformation, and analysis.
  • Develop automated ETL workflows and data pipelines to support ongoing reporting needs.
  • Work with large datasets in SQL Server and healthcare analytics platforms.
  • Build dashboards and data visualizations using Power BI or SSRS.
  • Utilize tools such as SQL Server, SSIS, Power BI, SSRS, Python, and Excel.

Collaboration
  • Partner with clinical, pharmacy, quality, enrollment, credentialing, and finance teams to interpret results and support program initiatives.
  • Assist with regulatory and compliance-related reporting requirements.
  • Present findings and insights to both technical and non-technical stakeholders

Requirements
Required Qualifications
  • Bachelor's degree in Data Analytics, Health Informatics, Statistics, Computer Science, or related field.
  • 2-5+ years of healthcare data analytics experience.
  • Knowledge of Medicare Advantage programs, HEDIS, and/or CMS Star Ratings.
  • Advanced SQL skills for querying and analyzing large datasets.
  • Experience with BI tools such as Power BI, SSRS, or similar tools.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience working in Medicare Advantage organizations, MSOs, or managed care settings.
  • Knowledge of HCC risk adjustment, RAF methodologies, capitation payment model, DOFR, claim processing, bid design, and CMS regulatory requirements.
  • Experience analyzing pharmacy adherence metrics (e.g., PDC).
  • Familiarity with EDPS encounter data, claims submissions, and acceptance processes.
  • Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET.

Salary Description
$85,000 - $115,000/annually

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