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

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 · 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 ...

We are looking for someone who is comfortable writing and understanding intermediate to complex SQL ... Prepare data and analysis for Fabletics' business teams, primarily Merch & Planning; share ...

We are looking for someone who is comfortable writing and understanding intermediate to complex SQL ... Prepare data and analysis for Fabletics' business teams, primarily Merch & Planning; share ...

We are looking for someone who is comfortable writing and understanding intermediate to complex SQL ... Prepare data and analysis for Fabletics' business teams, primarily Merch & Planning; share ...

QUALIFICATIONS * 5+ years of experience analyzing data, drawing conclusions and making recommendations. * 3+ years of experience using SQL, R or Python (or equivalent) programming languages required.

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 ...

We are looking for someone who is comfortable writing and understanding intermediate to complex SQL ... Prepare data and analysis for Fabletics' business teams, primarily Merch & Planning; share ...

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Mastery of SQL, Python, and other scripting/automation techniques * 5 years proven experience as a Data Analyst or Business Data Analyst * Technical expertise regarding data models, database design ...

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 ...

Business Data Analyst

Monterey Park, CA · On-site +1

$72K - $84K/yr

Candidates should be comfortable performing the following tasks: writing queries in SQL Management ... Provide data analysis and reporting solutions to our various business units in support of their ...

Showing results 41-60

Data Analyst Python Sql information

See Lomita, CA salary details

$36.1K

$87.7K

$144.3K

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

As of Aug 19, 2026, the average yearly pay for data analyst python sql in Lomita, CA is $87,690.00, 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 Lomita, CA look for?

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

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

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

Full-time

Re-posted 24 days ago


Job description

Company Description

Client is one of the largest independent banks headquartered in California serving consumers and businesses throughout the U.S. and Greater China. Client has over 130 locations worldwide including California, Texas, New York, Georgia, Massachusetts, Nevada, Washington, and Greater China.

Job Description
  • Extract and review monthly datasets for accuracy, validity and data integrity. Maintenance of report templates and production of performance reports.
  • Generate ad-hoc reports and assist in detailed analysis for areas of focus in the performance of business units. 
  • Build and enhance processes to iteratively improve the quality and efficiency of department deliverables
  • Conduct data analysis, data integration, and data management
  • Identify and develop new data sources and structure data models for monthly performance analysis and annual budgeting and forecasting
  • Plan and conduct small, short-term projects involving department subject matter experts and IT Department that focuses on improving processes and availability of data.

Qualifications
  • Advanced User of Microsoft Excel
  • 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 of data management activities involving large data sets(e.g., data gathering and profiling, data analysis, test data creation, data validation, and issue resolution) 
  • Ability and knowledge to effectively explain technical concepts to non-technical associates, data users, managers, and other stakeholders
  • Minimum 2 years of experience in a data management and analytics role. Experience in Finance or Accounting in the banking industry preferred.
  • Bachelor's Degree in finance, accounting, engineering, math or computer-science related program
Additional Information

All your information will be kept confidential according to EEO guidelines.