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Entry Level Data Analytics Engineer Jobs in California

Chemelex

Data Analytics Intern

Redwood City, CA · On-site

$24/hr

We deliver future-ready technologies, advanced engineering capabilities and local expertise backed ... Support development of standardized data structures for reporting and analytics Dashboard ...

Atria Group LLC

Analytics Engineer

Sunnyvale, CA

Our company provides application analysis, design, development and programming, software ... Knowledge and experience with big data, especially Hadoop * Able to balance multiple tasks and ...

Walmart

Manager, Data Analytics

Sunnyvale, CA · On-site

Manager, Data Analytics Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089 Duties: Leads ... Master's degree or the equivalent in Mathematics, Engineering, Economics, Computer Science, or ...

Advantest

Data Analytics Intern

San Jose, CA · On-site

Recent graduate or final-year student pursuing a bachelor's degree in environmental science, Sustainability, Environmental Engineering, Industrial Engineering, Data Analytics, Business Analytics ...

Advantest

Data Analytics Intern

San Jose, CA

Recent graduate or final-year student pursuing a bachelor's degree in environmental science, Sustainability, Environmental Engineering, Industrial Engineering, Data Analytics, Business Analytics ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Programming Proficiency and experience in Python, SQL, or similar languages. Python and SQL ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Programming Proficiency and experience in Python, SQL, or similar languages. Python and SQL ...

Kikoff

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

We are looking for a Data Engineer or Analytics Engineer to join our Data team. You will collaborate with the data scientist and engineers to design, build, and scale high-leverage data models ...

Tesla

Analytics Engineer, People Programs

Palo Alto, CA · On-site

The role involves identifying gaps, driving change through data analysis, and collaborating with ... Required : • Strong background in analytics, data science, engineering, or a related quantitative ...

Bloom Ads

Data Analytics Coordinator

Woodland Hills, CA · On-site

$45K - $60K/yr

As an entry level Analytics Coordinator at Bloom Ads, you will work closely with and report to the Data Solutions Supervisor to help provide our clients with powerful data about their media ...

Apple

Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

The Data Engineering team within the MGC organization plays a critical role in supporting data-driven analytics by providing data collection, warehousing, and analytics at big data scale. Our team ...

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Entry Level Data Analytics Engineer information

What are some typical projects an Entry Level Data Analytics Engineer might work on during their first year?

As an Entry Level Data Analytics Engineer, you can expect to work on projects such as cleaning and organizing raw data, building basic data pipelines, and supporting senior engineers in developing dashboards or reports. You may also assist with troubleshooting data issues and automating repetitive tasks using scripts. These tasks help you gain hands-on experience with common tools and platforms, and provide exposure to teamwork and cross-functional collaboration with data analysts, business stakeholders, and IT teams.

What is an Entry Level Data Analytics Engineer?

An Entry Level Data Analytics Engineer is a professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with large datasets, utilize tools like SQL, Python, or Excel, and help build data pipelines and dashboards. At the entry level, they focus on supporting senior data engineers and analysts, learning best practices, and developing foundational technical skills. This role is ideal for recent graduates or those new to the field looking to gain experience in data engineering and analytics.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analytics Engineer, and why are they important?

To thrive as an Entry Level Data Analytics Engineer, you need foundational knowledge in statistics, data analysis, and programming, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills ensure you can extract meaningful insights from data, support business decisions, and contribute to data-driven organizational goals.
What are the most commonly searched types of Data Analytics Engineer jobs in California? The most popular types of Data Analytics Engineer jobs in California are:
What are popular job titles related to Entry Level Data Analytics Engineer jobs in California? For Entry Level Data Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analytics Engineer jobs in California look for? The top searched job categories for Entry Level Data Analytics Engineer jobs in California are:
What cities in California are hiring for Entry Level Data Analytics Engineer jobs? Cities in California with the most Entry Level Data Analytics Engineer job openings:
Entry Level Data Analytics Engineer jobs near you
Infographic showing various Entry Level Data Analytics Engineer job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Analytics Intern

Chemelex

Redwood City, CA • On-site

$24/hr

Internship

Re-posted 2 days ago

Job description

Chemelex is a global leader in electric thermal and sensing solutions, protecting the world's critical processes, places and people. With over 50 years of innovation and a commitment to excellence, we develop solutions that ensure safety, reliability, and efficiency in diverse environments - from industrial plants and data centers to people's homes. We deliver future-ready technologies, advanced engineering capabilities and local expertise backed by global standards. Our offering includes a leading portfolio from our trusted brands: Raychem, Tracer, Nuheat and Pyrotenax.
KEY RESPONSIBILITIES
Data Extraction & Management
  • Extract, consolidate, and validate data from multiple systems across the manufacturing environment (SAP, MES, manual logs, and other sources)
  • Ensure data integrity, consistency, and reliability for operational decision-making
  • Identify gaps in data collection and partner with teams to improve data capture processes
  • Support development of standardized data structures for reporting and analytics

Dashboard Development & Visualization
  • Design, build, and maintain dashboards to track key performance indicators, including:
  • Overall Equipment Effectiveness (OEE)
  • Throughput and production output
  • Scrap and yield performance
  • Downtime and equipment utilization
  • Create clear, actionable visualizations using Power BI, Tableau, or Excel
  • Continuously improve dashboards to support real-time decision making on the production floor

Manufacturing Performance & Analytics
  • Analyze production, quality, and maintenance data to identify trends and inefficiencies
  • Support root cause analysis efforts with data tied to downtime, scrap, and performance losses
  • Partner with Operations and Engineering to quantify performance gaps and track improvements
  • Assist in building leading indicators or basic predictive models for equipment performance

Cross-Functional Collaboration
  • Work directly with Operations, Manufacturing Engineering, Maintenance, and Supply Chain teams
  • Translate operational challenges into data-driven insights and recommendations
  • Support alignment between data, planning, and execution
  • Participate in daily and weekly operational reviews to provide visibility into performance

Continuous Improvement & Strategy Support
  • Support development of data-driven strategies to improve plant performance
  • Assist initiatives focused on improving:
  • Equipment uptime
  • Labor efficiency
  • Production flow
  • Cost per unit (CPU)
  • Identify opportunities to automate reporting and reduce manual processes

Communication & Reporting
  • Present findings, trends, and recommendations in a clear and concise way
  • Build reports that are easy to interpret and drive action
  • Support leadership with data insights for operational and strategic decisions

QUALIFICATIONS AND EXPERIENCE
  • Currently pursuing a Bachelor's degree in Data Analytics, Statistics, Computer Science, Industrial Engineering, or related field
  • Strong analytical and problem-solving skills with ability to work through large datasets
  • Experience with data visualization tools such as Power BI or Tableau
  • Proficiency in Excel required; Python, R, or SQL preferred
  • Understanding of data cleaning, structuring, and basic statistical analysis
  • Strong communication skills and ability to explain insights clearly
  • Ability to work in a fast-paced manufacturing environment
  • Exposure to manufacturing or production systems is a plus

#LI-DNI
At Chemelex:
We protect places of progress through electric excellence.
Pioneering plants, sprawling data centers, busy transport hubs, and your own home. These are the places that bring progress to the world, and the places that we protect with time-tested technologies, advanced engineering, and a suite of services. Because here, excellence is everything.
Our Dimensions of Excellence reflect the core values of Chemelex. Together, they inspire our decisions and guide our actions - defining excellence in our work for colleagues, customers and communities.
  • Experts with empathy
  • Explorer mindset
  • Example for others
  • Exceptional impact

We are committed to equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by national, federal, state or local law.

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