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Data And Analytics Manager Jobs in San Ramon, CA

chemelex

Data Analytics Intern

Redwood City, CA

KEY RESPONSIBILITIES Data Extraction & Management * Extract, consolidate, and validate data from ... Support development of standardized data structures for reporting and analytics Dashboard ...

Samsung SDSA

Data Analytics Developer

San Jose, CA · On-site

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

Advantest

Data Analytics Intern

San Jose, CA

The intern will also support regional EHS/ESG data management initiatives and assist one of our ... Collecting, organizing, validating, and analyzing ESG and EHS performance data from multiple ...

Advantest

Data Analytics Intern

San Jose, CA · On-site

The intern will also support regional EHS/ESG data management initiatives and assist one of our ... Collecting, organizing, validating, and analyzing ESG and EHS performance data from multiple ...

Chemelex

Data Analytics Intern

Redwood City, CA · On-site

$24/hr

KEY RESPONSIBILITIES Data Extraction & Management * Extract, consolidate, and validate data from ... Analyze production, quality, and maintenance data to identify trends and inefficiencies * Support ...

PetersonCat

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Ingest and manage data across Raw, Transformed, and Curated layers based on business and analytics requirements. * Build and maintain data pipelines using modern cloud data architectures, including ...

CrowdStrike

Director, Data Analytics

Sunnyvale, CA · On-site

A minimum of 15 years of progressive experience in data analytics, business intelligence, or a related field, with at least 4 years spent in a dedicated leadership or director-level role managing a ...

Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Ingest and manage data across Raw, Transformed, and Curated layers based on business and analytics requirements. * Build and maintain data pipelines using modern cloud data architectures, including ...

Tailored Brands

Sr Store Analytics Manager

Dublin, CA · On-site +1

The Sr Store Analytics Manager is the lead analytical partner for store-growth decisions. You will ... data and external datasets-including mobility, consumer spend, demographic, and competitive ...

Walmart

Manager, Advanced Analytics

San Bruno, CA

$109K - $202K/yr

Manager, Advanced Analytics Job Location: 850 Cherry Avenue, San Bruno, CA 94066 Duties: Owns ... Develops data models (algorithms, approaches) for workstreams and individual projects within a ...

Scribd, Inc

VP, Data & Analytics

San Francisco, CA · On-site

This role reports into the Chief Product and Technology Officer and manages director-level leaders across Product Analytics, Data Science, and Analytics Engineering. About You You have built and ...

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All JobsData And Analytics JobsData And Analytics Manager JobsData And Analytics Manager Jobs in San Ramon, CA

Data And Analytics Manager information

See San Ramon, CA salary details

$34.6K

$108.6K

$192.2K

How much do data and analytics manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data and analytics manager in San Ramon, CA is $108,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $140,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Data and Analytics Manager, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a degree in a quantitative field and experience in data management. Proficiency with tools like SQL, Python, Tableau, and data warehousing systems, as well as relevant certifications such as Certified Analytics Professional (CAP), is highly valuable. Strong leadership, communication, and problem-solving skills set top performers apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What are top 3 soft skills for a data analyst?

For a Data and Analytics Manager, the top three soft skills for a data analyst are communication, critical thinking, and collaboration. These skills enable analysts to interpret data effectively, present insights clearly, and work well within teams to support decision-making. Strong interpersonal skills and adaptability are also valuable in dynamic data environments.

What are some common challenges faced by Data and Analytics Managers when implementing data-driven initiatives in organizations?

Data and Analytics Managers often encounter challenges such as integrating data from disparate sources, ensuring data quality and governance, and aligning data strategies with business goals. They must also navigate organizational resistance to change, educate stakeholders on the value of analytics, and stay updated on rapidly evolving technologies. Successfully overcoming these challenges requires strong communication, project management skills, and a proactive approach to stakeholder engagement.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a Data and Analytics Manager involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI is a complement to data analysts, enhancing productivity rather than fully replacing them. Skills in data visualization, critical thinking, and understanding business context remain essential for the role.

What does a data analytics manager do?

A data analytics manager oversees the collection, analysis, and interpretation of data to support business decision-making. They lead data teams, develop analytics strategies, and use tools like SQL, Python, or Tableau to generate insights that improve organizational performance.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Chief Data Officer, Data Science Director, and Senior Data Scientist, often requiring advanced skills in machine learning, big data tools, and leadership. These positions can offer six-figure salaries, especially in large organizations or industries like finance and technology.

What are Data and Analytics Managers?

Data and Analytics Managers are professionals responsible for overseeing an organization's data strategy, including data collection, storage, analysis, and reporting. They manage teams of data analysts and data scientists, ensuring data quality and developing insights that inform business decisions. Their role often involves collaborating with other departments to identify data needs, selecting appropriate tools and technologies, and ensuring compliance with data governance policies. Data and Analytics Managers play a crucial role in helping companies leverage data to drive growth and efficiency.
What are popular job titles related to Data And Analytics Manager jobs in San Ramon, CA? For Data And Analytics Manager jobs in San Ramon, CA, the most frequently searched job titles are:
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Data And Analytics Manager jobs near you

Data Analytics Intern

chemelex

Redwood City, CA

Other

Re-posted yesterday

Job description

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

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