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Manager Data Analytics Engineer Jobs in California

Responsibilities : • Manage the project and stakeholders through all core project phases ... programming languages • Ability to profile, explore, and analyze data to identify common data ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Responsibilities : • Manage the project and stakeholders through all core project phases ... programming languages • Ability to profile, explore, and analyze data to identify common data ...

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Senior Data Analytics Engineer

San Francisco, CA · On-site

$124K - $169K/yr

They are seeking their first data analytics hire to establish and own the data foundation for their ... Hyperbolic is the open-access AI cloud made for AI developers, providing fast, affordable access to ...

Data and Analytics Engineer

Milpitas, CA · On-site

$130K - $165K/yr

Payactiv is seeking a hands-on Data and Analytics Engineer to own and support our business ... This is a highly technical role responsible for managing analytics dashboards and BI reporting ...

Posted today

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

... set of data management, governance, and data analytics to realize relevant, measurable business ... About the Role We are seeking a Principal Analytics Engineer with skills in data product ...

Showing results 21-40

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:

Manager - Data & Analytics

Qvest US

Los Angeles, CA • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. They are seeking an experienced Data & Analytics Manager to oversee projects that drive better data-based decision making for clients, focusing on strategy, data management, reporting, and visualization.
Responsibilities:
• Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
• Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
• Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
• Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
• Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
• Proactively identify risks, issues and provide mitigation strategies
• Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
Qualifications:
Required:
• 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
• Experience with project planning, including tasks, budgeting, resource allocation and balancing
• 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
• Experience designing and building relational database and/or data warehouses
• Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc
• Eagerness to help build and lead a best-in-class data practice
• Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
• Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
• Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
• Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
• Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
• Proactively identify risks, issues and provide mitigation strategies
• Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
Preferred:
• A solid understanding of key BI trends and the BI vendor landscape
• Experience in Media & Entertainment and/or Consumer Products industries
• Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
• Cloud computing experience, whether with AWS or other vendors
• Ability to understand/design small-to-medium size data architectures
• Ability to automate data-related tasks using scripts and programming languages
• Ability to profile, explore, and analyze data to identify common data patterns
• Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields
• Familiarity with dbt (https://getdbt.com)
Company:
Qvest is a global leader in media-focused practices and services. Founded in 1991, the company is headquartered in Cologne, DEU, with a team of 201-500 employees. The company is currently Growth Stage.