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

Astrana Health, Inc.

Business Data Analyst

Monterey Park, CA · On-site +1

$72K - $84K/yr

Business Data Analyst Department: Ops - Claims Ops About the Role: This position is responsible for ... Candidates should be comfortable performing the following tasks: writing queries in SQL Management ...

Dermalogica

Global Data Analyst

Carson, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

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

Trilon

Civic Data Analyst (Sustainable Mobility)

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in Python and/or R, SQL * Proficiency in Quantitative Analysis: A solid background in data analysis, cross tabulation, and data interpretation is essential. Candidates should be able to ...

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Data Analyst Python Sql information

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$87.6K

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

As of Aug 20, 2026, the average yearly pay for data analyst python sql in Monrovia, CA is $87,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $102,900.00 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 job categories do people searching Data Analyst Python Sql jobs in Monrovia, CA look for?

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

What cities near Monrovia, CA are hiring for Data Analyst Python Sql jobs?

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

Data Analyst Python Sql jobs near you

Business Data Analyst

Astrana Health, Inc.

Monterey Park, CA • On-site, Remote

$72K - $84K/yr

Full-time

Posted 6 days ago

Job description

Description
Job Title: Business Data Analyst
Department: Ops - Claims Ops
 
About the Role:
This position is responsible for meeting the company's delegated and regulatory reporting requirements for both the Claims and Provider Dispute Resolution departments. Additionally, there may be occasions when support is needed to generate operational reports for these functions.

The position involves analyzing, designing, developing, deploying, and managing data systems, reports, and dynamic dashboards. The Analyst may also be responsible for presenting analytic findings. This role includes extracting data from multiple sources, manipulating and validating the data, and may involve conducting root cause analysis.

Candidates should be comfortable performing the following tasks: writing queries in SQL Management Studio, developing reports in SQL Server Reporting Services (SSRS), writing Extract, Transform, Load (ETL) processes in SQL Server Integration Services (SSIS), creating analytical visualizations using tools such as Power BI, QlikView, and Tableau, as well as managing data systems development and enhancement projects. 

What You'll Do
  • Provide data analysis and reporting solutions to our various business units in support of their operational goals 
  • Work closely with our business units, compliance and project teams to understand reporting requirements of each of our contracted health plans, collaborate to define and document required reporting requirements, templates and cadence
  • Use sound judgment in analyzing business needs and provide guidance in determining the best reporting approach (ad-hoc, scheduled, real-time, etc.)
  • Implement reporting from new or existing datasets and ensure data integrity
  • Provide support for new dataset creation and architecture
  • Query multiple data sources using SQL, develop ETLs, and produce reports and dashboards using Power BI and SSRS
  • Analyzes root cause of errors; communicates errors to the appropriate clients and escalates system errors, issues, or problems to the Business Unit Manager
  • Assists in the research and evaluation of additional technical capabilities required in support of our organization’s needs
  • Meets or exceeds assigned standards from a compliance timeliness and accuracy perspective
  • Manages assigned escalations to resolution
  • Conducts root cause analysis (project and technical) to identify opportunities for improvement
  • Ensure that all forms of technical debt are identified, tracked, communicated, and addressed
  • Performance Management & Control: Defines, develops, and evaluates performance metrics to establish process success, and may participate in working with multiple stakeholders, often with competing/conflicting objectives, to ensure cohesive and reachable measures of success Reviews data post- implementation to measure success; participates in defining standards of improvement success
  • Change Management: Participates in and may lead change management activities associated with process improvement. Engages leadership and stakeholders to obtain support and buy in for changes. Partners with management, project champions, and process owners to align process improvement initiatives with business objectives

Qualifications
  • Bachelor’s degree in Business, Mathematics, Computer Science, Information Technology, or a related field
  • At least three years experience in healthcare, primarily related to Data Analysis, Database Development, or Database Administration
  • Experience working with healthcare claims data, including a strong understanding of CPT codes, diagnosis codes, and dates of service
  • Proficiency in SQL for querying, analyzing, and managing large datasets
  • Hands-on experience developing reports and dashboards using Power BI
  • Experience utilizing Databricks for data processing, analytics, and data engineering workflows
You're great for the role if: 
  • Experience in a Managed Care environment 
  • Experience with Managed Care Applications (MCA) or Healthcare Core system (EzCap or IDX) 
  • Experience with SSIS, Power Apps, and Power Automate is a plus 

Environmental Job Requirements and Working Conditions
  • This position is remotely based in the U.S. The home office is located at 1600 Corporate Center Dr. Monterey Park, CA 91754. 
  • The target pay range for this role is between $72,000.00 - $84,000.00. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.

Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided on the basis of qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation.
Additional Information:
The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.