1

Manager Data Analytics Engineer Jobs in California

Data Analytics Engineer

San Jose, CA · On-site

$160K - $195K/yr

Position Summary We are seeking a Data Analytics Engineer with hands-on semiconductor test development experience to join our team. The ideal candidate will bridge the gap between test engineering ...

Data & Analytics Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

The role involves building and maintaining data pipelines, supporting analytics engineering functions, and collaborating with cross-functional teams to ensure data-driven decision-making across the ...

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning their data platform infrastructure and serve as a key builder connecting their data warehouse to various teams. The role ...

Data & Analytics Engineer

Calabasas, CA

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our ... Translate ambiguous requests from Finance, Marketing, Revenue Management, Operations, and ...

Manager, Data Analytics

Long Beach, CA · On-site +1

$79K - $172K/yr

Job Summary Manages the activities of the Data Analytics and Reporting team. Performs research and ... Experience working on PowerBI for reporting and data engineering using databricks is required

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

Partner closely with data engineering teams to design and improve scalable data pipelines, data ... analytics, CRM, marketing systems, and operational data * Contribute to improvements in data ...

Partner closely with data engineering teams to design and improve scalable data pipelines, data ... analytics, CRM, marketing systems, and operational data * Contribute to improvements in data ...

Partner closely with data engineering teams to design and improve scalable data pipelines, data ... analytics, CRM, marketing systems, and operational data * Contribute to improvements in data ...

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to ...

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to ...

next page

Showing results 1-20

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
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 Manager Data Analytics Engineer jobs in California? For Manager Data Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in California look for? The top searched job categories for Manager Data Analytics Engineer jobs in California are:
What cities in California are hiring for Manager Data Analytics Engineer jobs? Cities in California with the most Manager Data Analytics Engineer job openings:
Data Analytics Engineer

Data Analytics Engineer

Astera Labs

San Jose, CA • On-site

$160K - $195K/yr

Other

Posted 5 days ago


Job description

Position Summary

We are seeking a Data Analytics Engineer with hands-on semiconductor test development experience to join our team. The ideal candidate will bridge the gap between test engineering, diagnostics, and data science, leveraging their semiconductor testing background to extract actionable insights from complex test data to optimize test processes, develop diagnostic tools/tests, and drive quality improvement initiatives.

Key Responsibilities

Data Analytics & Insights

  • Analyze large-scale semiconductor test data from ATE (Automatic Test Equipment) systems
  • Develop predictive models for yield prediction, failure analysis, and reducing quality excursions
  • Create dashboards and visualization tools for quality monitoring
  • Identify trends, patterns, and anomalies in production test data to improve product reliability

 

Failure Investigation and Debug

  • Analyze logs, test results, and system behavior to identify root cause or failure scope
  • Reproduce issues in the lab environment and provide detailed debug information
  • Work with hardware, firmware, and ASIC teams to drive resolution

 

Technical Development

  • Create machine learning models for defect classification and outlier detection
  • Automate reporting and data quality monitoring systems
  • Use AI methodologies to enable advanced diagnostics of Astera silicon products
  • Develop diagnostic tools and methods to enable faster root cause analysis and automation

Customer Focus

  • Provide customer support on device-related inquiries
  • Generate reports relating to internal and external customer requests
  • Work with customer quality group to support internal and external customers

 

Collaboration & Communication

  • Partner with test, product, and reliability engineering teams
  • Present findings and recommendations to technical and non-technical stakeholders
  • Document analytical methodologies and maintain code repositories
  • Mentor junior team members on analytics best practices

Required Qualifications

Education

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Data Science, Statistics, or related field
  • Master's degree preferred

Experience

  • 3-5 years of experience in semiconductor test engineering or test development
  • 3+ years of hands-on data analytics experience
  • Knowledge of ATE platforms (Teradyne, Advantest, Credence, etc.)
  • Familiarity with semiconductor manufacturing processes and test methodologies

Technical Skills

  • Programming: Proficiency in Python, R, or similar languages for data analysis
  • Data Tools: SQL, pandas, numpy, scikit-learn
  • Visualization: Tableau, Power BI, matplotlib, plotly, or similar tools
  • Test Systems: Experience with test data formats (STDF), test executive software

The base salary range is $160,000 USD - $195,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.