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Data Analyst Python Sql Jobs in California (NOW HIRING)

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

FieldAI

Field Data Analyst

Irvine, CA

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Proficiency in Python, SQL, or similar data analysis tools * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar) * Strong problem-solving ability and attention to ...

Tristar Insurance

Data Analyst I

Signal Hill, CA · On-site +1

$114K - $140K/yr

Write queries and scripts using SQL and Python or R to extract and analyze data efficiently. * Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic ...

Tristar Insurance

Data Analyst I

Signal Hill, CA

Write queries and scripts using SQL and Python or R to extract and analyze data efficiently. * Ensure data integrity and accuracy in reports and data feeds used for compliance, audit, and strategic ...

Zoom

Senior Data Analyst

San Jose, CA

$187K - $228K/yr

Utilizing Python (Pandas) in data analysis; * Utilizing Tableau to build enterprise BI reporting; * Performing SQL query optimization to reduce execution time and processing costs; * Performing ...

Tror AI for everyone

Data Analytics

Santa Clara, CA · On-site

... Analyst), Databricks and AWS and Python 1.    Strong in advance SQL 2.    Good at data analysis 3.    Should be able to build BI dashboards using Tableau & Power BI 4. ...

4Creeks, Inc.

Data and Technology Manager

Visalia, CA

$30 - $40/hr

Automation & Analytical Tools * Utilize Python, SQL, R, or similar languages to automate regulatory reporting workflows, compliance tracking, and monitoring data processing. * Build tools, scripts ...

Astiva Health

Healthcare Data Analyst

Orange, CA

$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 ...

SKIMS

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. * Apply statistical and ...

Kids Empire US LLC

Data Analyst

West Hollywood, CA · On-site

... • Advanced SQL skills. • Experience with BigQuery or similar cloud data warehouse. • ... Python is a plus since we do the data extraction in-house) • Solid understanding of data modeling ...

SKIMS

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities. * Apply statistical and ...

Brex

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

Write production-quality SQL and Python code to extract, transform, and analyze data at scale. * Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models ...

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 ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in California

Data Analyst Python Sql information

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 are Data Analyst Python SQL jobs?

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, and why are they important?

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 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
Data Analyst & AI Automation Specialist

Data Analyst & AI Automation Specialist

Aquent

Culver City, CA • On-site

$80 - $85/hr

Temporary

Medical, Dental, Vision, Retirement

Posted yesterday

Job description

Placement Type:
Temporary
Salary:
$80-85 Hourly
Data Analyst & AI Automation Specialist
  • Location: Culver City, California
  • Schedule: Hybrid; In-Office T/W/Th; Remote M/F
  • Pay Comments: W2, weekly pay, benefits, 401k w/ match
  • Background screening required
We are seeking a highly autonomous Data Analyst & AI Automation Specialist. In this role, you will support all lines of business by transforming manual financial processes into streamlined, automated data solutions. This is not a traditional engineering position; it is an operational data role embedded within a non-technical business team. You will act as a strategic partner-listening to high-level business logic and requirements from non-technical stakeholders and independently figuring out how to build, automate, and maintain the underlying technical pipelines. The ideal candidate is a proactive self-starter who looks at manual data bottlenecks and leverages scripting, cloud data structures, and generative AI tools to eliminate them.
Key Responsibilities:
Automation & Pipeline Engineering
  • Proactive Process Automation: Identify manual workflows (e.g., weekly data exports and snapshots) and proactively leverage tools like Python, SQL, and AI prompting to build background scripts that automate execution and data storage.
  • Data Refresh & Infrastructure Integration: Build and deploy custom automation solutions that seamlessly pull data from multiple sources (Snowflake), process it, and automatically push refreshes to front-end visualization tools.
  • Version Control & Maintenance: Manage code, analytical assets, and automation scripts using basic GitHub repository management practices (commits, branches, pull requests).
  • Data Entry & Optimization: Perform necessary data cleanups, optimization, and data entry tasks to ensure reporting accuracy and system integrity.
Financial Insights & Dashboarding
  • Dashboard Maintenance & Troubleshooting: Own the day-to-day maintenance, running, and troubleshooting of the team's pre-built Tableau dashboards.
  • Custom Analysis Generation: Gather user feedback and business requirements from finance partners to spin up new, dynamic dashboards, internal reporting tools, or comparative analytics.
  • Variance & Trend Reporting: Build automated slicing-and-dicing models to analyze month-over-month financial forecasts, instantly surfacing and presenting core variance drivers to leadership.
Generative AI & Agent Deployment
  • AI Tool Implementation: Design, develop, and maintain AI-enabled workflows using generative AI interfaces (e.g., Claude, ChatGPT, or internal wrappers) to maximize team throughput.
  • Agent & Prompt Engineering: Build and deploy lightweight AI agents, reusable prompt libraries, and automated assistance features tailored for financial data tasks.
  • Team Enablement: Document automated AI workflows and create simple instructions to guide non-technical team members on how to responsibly and effectively utilize these tools.
Requirements:
  • Experience: 5+ years of experience in a tools/applications implementation role, with a proven track record of managing data pipelines and business process automation.
  • The Core Stack (Required): Advanced programming proficiency in SQL and Python (including packages such as Pandas, NumPy, and Jupyter Notebooks).
  • Data Ecosystems (Required): Hands-on experience working with Snowflake (or similar Data Lake systems) and Tableau.
  • AI Tooling & Prompting: Foundational comfort with Large Language Models (specifically Claude or ChatGPT) and experience writing prompts or scripts to automate routine, manual tasks.
  • Communication & Autonomy: Outstanding ability to work independently with minimal technical supervision. Must be able to distill complex data logic into simple, clear business terms for non-technical stakeholders.
  • Data Integrity & Confidentiality: Proven experience handling highly sensitive, classified financial data and unreleased business insights with the utmost discretion.
  • BA/BS degree preferred, or equivalent practical data automation experience.

Preferred Qualifications
  • Financial Data Literacy: Prior exposure to core corporate financial processes-including end-to-end purchase orders (POs), invoices, forecasting, accruals, and P&L analysis-is highly preferred to aid in data self-review.
  • Advanced AI Frameworks: Direct familiarity with AI agent frameworks (e.g., LangChain, LlamaIndex) or building custom AI skills.
  • Advanced Automation: Familiarity with GitHub Actions, CI/CD workflows, or automated repository pipeline deployment.
Please note this is a hybrid role in Culver City, CA. You must be able to work 3 days onsite (Tuesday, Wednesday, Thursday) and 2 days remote (Monday and Friday).
About Aquent Talent: Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. More information on our awesome benefits! Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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Client Description
Our client is a global leader in consumer technology, renowned for redefining the intersection of hardware, software, and services. Known for their uncompromising commitment to world-class design and user experience, they create products that have become essential to daily life. You will be joining a team that values craftsmanship and simplicity, working on high-impact projects that reach hundreds of millions of people worldwide.

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