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

Data Analyst, Supply Chain

Lathrop, CA · On-site

$62.64K - $113.40K/yr

Query and analyze large-scale datasets using SQL to uncover supply chain trends, exceptions, and actionable insights * Develop Python-based automation scripts and data processing pipelines for data ...

... SQL to uncover supply chain trends, exceptions, and actionable insights • Develop Python-based ... manage multiple analytical projects, platform builds, and data support requests, ensuring ...

Digital Analyst Internships

Stockton, CA

$103.80K - $122.70K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Support efforts to collect, catalog, and interpret data for use in mathematical models, including ... either Python, SQL, TypeScript, Go or C++, within Windows or Linux environments. * Proficient ...

Support efforts to collect, catalog, and interpret data for use in mathematical models, including ... either Python, SQL, TypeScript, Go or C++, within Windows or Linux environments. * Proficient ...

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Programmer Analyst

Ripon, CA · On-site

$85K - $95K/yr

Develop and maintain reports, dashboards, and data extracts (e.g., SQL, Power BI) * Ensure data ... Strong proficiency in SQL and at least one programming language (e.g., C#, .NET, Java, Python, or ...

Data Engineer

Tracy, CA · On-site

$123.30K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse ... with Python, Java, PHP, SQL, CLI Keywords: Education: BS/MS in Computer Science or a related ...

Data Engineer

Tracy, CA · On-site

$123.30K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse ... with Python, Java, PHP, SQL, CLI Keywords: Education: BS/MS in Computer Science or a related ...

Demonstrated experience performing geospatial analytics in Python, using GeoPandas or equivalent geospatial tools and libraries. * Comprehensive knowledge and experience in developing data-driven ...

Demonstrated experience performing geospatial analytics in Python, using GeoPandas or equivalent geospatial tools and libraries. * Comprehensive knowledge and experience in developing data-driven ...

Demonstrated experience performing geospatial analytics in Python, using GeoPandas or equivalent geospatial tools and libraries. * Comprehensive knowledge and experience in developing data-driven ...

Demonstrated experience performing geospatial analytics in Python, using GeoPandas or equivalent geospatial tools and libraries. * Comprehensive knowledge and experience in developing data-driven ...

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Data Analyst Python Sql information

See Manteca, CA salary details

$35.8K

$87K

$143.2K

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

As of May 28, 2026, the average yearly pay for data analyst python sql in Manteca, CA is $87,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $102,100.00 per year, depending on experience, location, and employer.

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.

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 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 Manteca, CA look for? The top searched job categories for Data Analyst Python Sql jobs in Manteca, CA are:
What cities near Manteca, CA are hiring for Data Analyst Python Sql jobs? Cities near Manteca, CA with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Manteca, CA as of May 2026, with employment types broken down into 5% As Needed, 56% Full Time, 13% Part Time, 25% Contract, and 1% Nights. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution, with an average salary of $87,021 per year, or $41.8 per hour.
Data Analyst, Supply Chain

Data Analyst, Supply Chain

Tesla

Lathrop, CA • On-site

$62.64K - $113.40K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect In this role, you will serve as the Data Analyst supporting Material Planning department. You will be the go-to expert for supply and demand planning analytics, multi-tier supply visibility, and operational reporting. You will be responsible for building tools, platforms, and automated pipelines that provide real-time visibility into gating supply chains, enable supply simulations, and drive operational excellence across planning workflows. Working at the intersection of data engineering and analytics, you will design and deploy containerized applications, orchestrate data pipelines, and build frontend platforms that empower stakeholders to make faster, better-informed decisions. The ideal candidate is a proactive and technically versatile analyst who thrives on automating manual workflows, building scalable tools, and solving complex supply chain problems with data.
What You'll Do
  • Build and maintain tools, dashboards, and platforms that provide end-to-end visibility into supply and demand planning across multiple tiers of the supply chain
  • Design and run supply simulations to identify gating supply chains, forecast risk, and support proactive decision-making by planning and GSM teams
  • Develop and maintain automated data pipelines for daily workflow orchestration, data extraction, transformation, and reporting
  • Automate daily operational workflows to eliminate manual processes and drive operational excellence across Material Planning, GSM, and Component GSM teams
  • Query and analyze large-scale datasets using SQL to uncover supply chain trends, exceptions, and actionable insights
  • Develop Python-based automation scripts and data processing pipelines for data extraction, transformation, reporting, and simulation modeling
  • Partner cross-functionally with Demand Planning, Material Planning, GSMs, Component GSM, Systems teams, and regional stakeholders to align analytics deliverables with operational priorities
  • Support leadership with dashboards, ad-hoc analyses, supply risk assessments, and quarterly operational summaries
  • Independently manage multiple analytical projects, platform builds, and data support requests, ensuring objectives and deadlines are met
  • Partner with IT and Systems teams to define system requirements and participate in the software development lifecycle, from design to deployment and user acceptance testing
What You'll Bring
  • Degree in a quantitative field (e.g., Engineering, Supply Chain, Computer Science, Business Analytics, Economics) or equivalent experience or evidence of exceptional ability with 2+ years of work experience in supply chain analytics, demand/supply planning, or a related analytical role
  • Strong proficiency in querying large datasets using SQL
  • Experience with Python for data analysis, automation, and pipeline development (e.g., pandas, NumPy)
  • Demonstrated ability to analyze complex data, run simulations, and present findings clearly and concisely
  • Experience building and maintaining automated data pipelines and workflow orchestration using Apache Airflow or similar tools
  • A collaborative, flexible, and open working style with the ability to build trust and credibility across planning, GSM, and systems teams
  • Experience building frontend tools and platforms using React and JSS is highly preferred
  • Experience creating dashboards and visualizations using tools like Tableau or similar is highly preferred
  • Familiarity with supply chain concepts such as multi-tier planning, gating analysis, and supply/demand balancing is a strong plus
Compensation and Benefits Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program
Expected Compensation $62,640 - $113,400/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.


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