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Internship Python Sql Tableau Jobs in California

Bobrick

$85K - $95K/yr

Develop and maintain Tableau dashboards, data models, and reporting tools. * Write and review SQL, Python, or similar code to analyze data and solve business problems. * Partner with IT and ...

CarParts.com

Business Analyst

Long Beach, CA · On-site

... SQL queries to extract, join, and transform data across our data warehouse. • Develop Python ... Internship, project, or coursework experience applying these tools to real business problems.

Apple

Manufacturing Process Engineer- Display

Cupertino, CA · On-site

$90K - $120K/yr

... Python, SQL) and JMP/Tableau knowledge to analyze, and automate manufacturing and process data workflows. Experience evaluating and managing software vendors is a plus. Experience working with ...

JLL

Analytics Specialist Developer

San Francisco, CA · On-site

Build complex analytics solutions iteratively in agile sprints using Tableau, Power BI, Databricks, Python and SQL * Conduct code reviews, QA and data validation to meet CoE quality standards * Lead ...

Intertech, Inc.

3093 - Sr. Software Engineer

Irvine, CA · On-site

$129K - $171K/yr

... SQL queries, stored procedures, and data models • Develop or support Power BI ... Tableau dashboards and data visualizations • Use Python for automation, data processing, or ...

PlayStation Global

Payments Analyst

San Diego, CA · On-site

$110K - $165K/yr

Use SQL, Excel, and Tableau for data analysis and reporting; knowledge of Python, R, or other analytical software is an advantage. Requirements: * Strong analytical abilities with the capacity to ...

Waymo

Hardware Reliability Engineer

Mountain View, CA · Hybrid

$120K - $152K/yr

... as Python, SQL, JMP, or Tableau * Experience independently developing reliability test plans, executing experiments, and performing failure analysis * Knowledge of the mechanics of materials and ...

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Internship Python Sql Tableau information

What is the difference between Internship Python Sql Tableau vs Data Analyst?

AspectInternship Python Sql TableauData Analyst
Required SkillsBasic Python, SQL, Tableau, data visualizationAdvanced Excel, SQL, Python, data analysis, reporting
Work EnvironmentInternship setting, entry-level projectsFull-time, collaborative teams, client-facing
CertificationsNone typically required, some courses helpfulData analysis certifications (e.g., Microsoft, Tableau)
Industry UsageEntry-level roles in tech, finance, marketingBusiness intelligence, analytics, consulting

Internship Python Sql Tableau roles focus on gaining foundational skills in data tools and visualization, often in an entry-level setting. Data Analysts build on these skills with more advanced analysis, reporting, and business insights, usually in full-time positions. Both roles overlap in technical skills but differ in experience level and scope.

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Internship Python Sql Tableau jobs near you
Infographic showing various Internship Python Sql Tableau job openings in California as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Senior Data Scientist / ML Analytics / BI & Reporting / SQL / Python / Irvine CA

Motion Recruitment Partners, LLC

Lake Forest, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Our client is a global leader in the iOT space for retail loss prevention, operations management, and analytics, with our headquarters based in South OC, California. They maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada
They are urgently seeking a Sr. level Data Scientist & Analytics / ML Engineer with strong SQL, Python, Business Intelligence, Reporting Dashboars and Predictive Models.
This individual will play a key role in advancing the company's analytics capabilities beyond traditional business intelligence by developing predictive models, operational analytics, customer intelligence frameworks, and scalable reporting solutions that support proactive decision-making and measurable business impact.
The ideal candidate combines strong technical and analytical expertise with the ability to understand business operations, communicate insights effectively, and partner cross-functionally to solve complex operational and customer challenges.
Role & Responsibilities
Customer & Operational Analytics:
  • Analyze customer, operational, monitoring, video classification, and theft-related data to identify trends, risks, opportunities, and actionable insights.
  • Develop analytical frameworks to measure customer utilization, operational effectiveness, subscription adoption, and customer value realization.
  • Support proactive customer engagement strategies through data-driven insights and trend analysis.
  • Partner with leadership teams to improve visibility into operational and customer performance metrics.
Predictive Modeling & Data Science:
  • Design, build, and maintain predictive models related to theft trends, customer behavior, operational risks, service utilization, and escalation indicators.
  • Develop forecasting and trend analysis models that support operational planning and customer success initiatives.
  • Apply statistical analysis, machine learning, and advanced analytics techniques where appropriate to improve business outcomes.
  • Continuously evaluate and refine model performance and business relevance.
Business Intelligence & Visualization:
  • Develop dashboards, KPI reporting, and analytics tools using Power BI, Tableau, or similar platforms.
  • Create executive-level reporting and operational scorecards that support strategic decision-making.
  • Automate reporting and improve scalability of analytics and data visualization capabilities.
  • Translate complex analytical findings into clear, business-oriented recommendations.
Cross-Functional Collaboration:
  • Partner closely with Operations, Customer Success, Sales, Product Management, IT, Engineering, and Finance teams to identify business opportunities and analytics priorities.
  • Support initiatives involving AI-driven analytics, workflow automation, and operational optimization.
  • Collaborate with technical teams to improve data quality, accessibility, integration, and governance across systems and platforms.
Must Have Skills:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or related field.
  • 4-8 years of experience in data science, predictive analytics, customer analytics, operational analytics, or related analytical roles.
  • Strong experience developing predictive models and performing advanced data analysis in business environments.
  • Advanced proficiency in SQL and experience with Python or similar analytics/programming languages.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization tools.
  • Experience working with large, complex operational and customer datasets.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Excellent communication and presentation skills with the ability to explain technical concepts to business stakeholders.
  • Ability to operate independently and manage multiple priorities in a fast-paced environment.
  • Education And/Or Experience : BSEE, MSEE, BSCS, or MSCS
Nice to have / Preferred Skills:
  • Experience in SaaS, retail technology, video analytics, loss prevention, IoT, subscription-based services, or service-oriented organizations.
  • Familiarity with machine learning, AI-driven analytics, and operational optimization techniques.
  • Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
  • Experience supporting executive-level operational reporting and KPI development.
The Offer
  • Attractive total compensation package between 130-160k
  • Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options
  • 401(k) Plan with employer match
  • Generous paid time off policy
  • Observance of 11 paid company holidays

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