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Data Analyst Python Sql Jobs in California (NOW HIRING)

ZURU

Data Analyst Intern

El Segundo, CA

$20 - $25/hr

Familiar with SQL, Data Visualization, Statistical Analysis, Python Programming, ETL practices. * A go-getter with energy, creativity and determination to continuously improve and push boundaries.

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis ... Familiarity with SQL and database management systems. * Knowledge of statistical methods and ...

ZURU

Data Analyst Intern

Los Angeles, CA · On-site

$20 - $25/hr

Familiar with SQL, Data Visualization, Statistical Analysis, Python Programming, ETL practices. * A go-getter with energy, creativity and determination to continuously improve and push boundaries.

ZURU

Data Analyst Intern

El Segundo, CA · On-site

$20 - $25/hr

Familiar with SQL, Data Visualization, Statistical Analysis, Python Programming, ETL practices. * A go-getter with energy, creativity and determination to continuously improve and push boundaries.

CACi

Data Analyst

Riverside, CA

$142K/yr

Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis ... Familiarity with SQL and database management systems. * Knowledge of statistical methods and ...

CACI

Data Analyst

Riverside, CA · On-site

$142K/yr

Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis ... Familiarity with SQL and database management systems. Knowledge of statistical methods and ...

Uncoded Talent LLC

Data Analyst

Los Angeles, CA · On-site

Proficiency with data analysis tools (e.g., Excel, SQL, Python/R, or BI platforms such as Tableau or Power BI) is beneficial. * Bachelor's degree in Data Science, Statistics, Mathematics, Computer ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

Centraprise

Data Analyst

Santa Clara, CA · On-site

Expert proficiency in SQL for complex data extraction, manipulation, and performance optimization. Advanced experience with a statistical programming language (Python or R) for in-depth data analysis ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

Capolicylab

Senior Data Analyst

Berkeley, CA · On-site

$100 - $125/hr

... Python, R, Stata, and/or SAS. In addition, the Senior Data Analyst should have experience building and managing SQL databases, preferably in Microsoft SQL Server. The position works directly with ...

Goodwill

Data Analyst - IT

Santa Ana, CA · On-site

$100 - $125/hr

The ability to use Python and SQL to conduct ad-hoc analysis, data exploration, and automation of recurring tasks. * The ability to monitor data pipelines for errors, latency, and data quality issues ...

MindSource

Data Analyst III

Cupertino, CA · On-site

Job Summary : MindSource is looking for an experienced Data Analyst to support its Retail ... Required : • 5-7 Years of prior experience • Experience in python and SQL • Experience in ...

iSpace, Inc

Data Analyst / CDP Developer

Torrance, CA · On-site

Data Analyst / CDP Developer Location: Torrance, CA Duration: 6 Months JOB RESPONSIBILITIES Data ... SQL queries across Presto, Hive, and NoSQL systems. * Use Python to support data processing ...

KRAFTON Americas

Data Analyst

El Segundo, CA · On-site

As a Game Data Analyst on the NA team, you'll sit at the intersection of game development, product ... Advanced SQL; proficiency in Python or R for analysis and automation * Familiarity with live ...

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Data Analyst Python Sql information

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 California?

For Data Analyst Python Sql jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in California look for?

The top searched job categories for Data Analyst Python Sql jobs in California are:

What cities in California are hiring for Data Analyst Python Sql jobs?

Cities in California 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 California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 30% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Analyst

Santa Monica, CA • On-site

Disney Cruise Line - The Walt Disney Company
See more jobs at Disney Cruise Line - The Walt Disney Companyexternal

$100 - $125/hr

Other

Posted 10 days ago

Job description

The Subscriber Lifecycle & Commerce Analytics team is looking for a Data Analyst who will help to measure, understand, and take action to improve our purchasing and payment experience. Our team masters exploratory data analysis, advanced reporting, data visualization, and storytelling to deliver actionable insights and provide recommendations to drive business decision-making. This team collaborates with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analyses. This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective experiments around payment processing, fraud prevention, and other commerce domains.

Responsibilities
  • Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention. This includes defining success metrics, determining required sample sizes, and validating randomization.
  • Partner closely with business stakeholders (Product, Data Science, Business Operations, etc.) to analyze user behavior, design and evaluate interventions in payment and monetization, and identify ways to maximize subscriber retention.
  • Create and maintain operational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-service tools.
  • Translate complex business questions into actionable analysis plans, including testable hypotheses, SQL queries, statistical results, impact estimation and measurements, and executive-level business presentations.
  • Partner with Analytics Engineering, Data Engineering, and Data Science teams to build full pipelines on complex transactional data that simplify and clarify these domains for business users and enable advanced modeling and AI uses.
Required Qualifications
  • Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or other related field.
  • 3+ years of hands-on analytical work experience with SQL driving strategic analysis to inform product or business decision making.
  • Strong analytical skills with the ability to apply business strategy to data analysis and recommendations.
  • Strong foundational knowledge of applied statistics, causal inference, and experimentation mechanics in technology products.
  • Strong proficiency in SQL (especially Snowflake and/or Databricks) for manipulating large data sets, building data pipelines, and interpreting data trends.
  • Expertise with data exploration and data visualization tools like Looker and Tableau.
  • Strong technical analysis skills to investigate issues, analyze causes, quickly develop possible solutions, document changes, and communicate organizational impact.
  • Strong experience in documenting data requirements, data strategy, and data rules (standardization, cleansing, and validation).
Desired Qualifications
  • Experience with Python and/or R for statistical analysis and model building.
  • Experience with global billing, payment processing, and/or fraud prevention.
  • Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product.

The hiring range for this position in Santa Monica, CA is $97,500 to $130,700 per year and in New York, NY is $102.100 to $136,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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