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Manager Data Analytics Engineer Jobs in Riverside, CA

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Fleet Data Analytics: * Develop fleet data analyses mapping travel, driving, road infrastructure ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar.

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Fleet Data Analytics: * Develop fleet data analyses mapping travel, driving, road infrastructure ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar.

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Fleet Data Analytics: * Develop fleet data analyses mapping travel, driving, road infrastructure ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms. * Experience with data governance, data quality, metadata management, and enterprise analytics best ...

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Data Analytics Analyst

Riverside, CA · On-site

$45K - $103K/yr

Develop executive level reports supporting budgeting, forecasting, inventory management, and ... Education and/or Experience Bachelor's degree in data science, Business Analytics, Supply Chain ...

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Manager Data Analytics Engineer information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

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

As of Aug 19, 2026, the average yearly pay for manager data analytics engineer in Riverside, CA is $135,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,400.00 per year, depending on experience, location, and employer.

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.

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 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.

What are the most commonly searched types of Data Analytics Engineer jobs in Riverside, CA?

The most popular types of Data Analytics Engineer jobs in Riverside, CA are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Riverside, CA?

For Manager Data Analytics Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Riverside, CA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Manager Data Analytics Engineer jobs?

Cities near Riverside, CA with the most Manager Data Analytics Engineer job openings:

Senior Manager, Data Analytics

Edwards Lifesciences Corporation

Irvine, CA • On-site

$139K - $196K/yr

Full-time

Posted 22 days ago


Edwards Lifesciences rating

8.3

Company rating: 8.3 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

68th of 540 rated manufacturers


Job description

Innovation starts from the heart. Heart valve disease impact millions of lives, spanning all ages and geographies. As communities globally address the opportunities and challenges of cardiovascular care, telling a compelling and authentic story is more crucial than ever. Beyond raising awareness, our Marketing teams build lasting, trusted relationships with medical professionals and industry stakeholders to ensure patients can receive the treatments they need.
Aortic stenosis impacts millions of people globally, yet it often remains under-diagnosed and under-treated. Edwards' groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative, life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical evidence. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.
How you'll make an impact:
• Actively participate in high-level strategic problem-solving sessions with cross-functional teams and stakeholders. Present and communicate complex analytical findings to guide/influence senior leadership decision making
• Apply predictive modeling and algorithms to data sets to drive optimization of marketing strategy and budget including updating and ensuring algorithms are current
• Provide reporting and analysis to translate complex analytical models into clear, succinct recommendations to stakeholders and frame data in a manner that identifies key business implications
• Partner with and provide guidance to stakeholders across functions to ensure success of key projects
• Identify gaps in market inefficiencies and develop programs and solutions
• Identify and assess the value of data sources based on organizational need to influence data acquisition strategy.
• Other incidental duties
What you'll need (Required):
• Bachelor's Degree in in related field, 10 years of previous related experience or equivalent work experience based on Edwards criteria Required or
• Master's Degree or equivalent in related field with 8 years of previous related experience required and
• Experience in architecting, developing and deploying business intelligence, analytics and reporting solutions to internal and external stakeholders or equivalent work experience based on Edwards criteria Required
What else we look for (Preferred):
• Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.)
• Experience working within healthcare or equivalent work experience based on Edwards criteria Preferred
• Expert knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems
• Experience using statistical computer languages (e.g, R, Python, SQL, etc.) to manipulate large data sets
• Experience in data visualization tools (i.e. Qlikview, Tableau, etc.)
• Experience with using web services (e.g., Redshift, S3, Spark, etc.)
• Advanced problem-solving, organizational, analytical and critical thinking skills
• Excellent documentation and communication skills
• Excellent interpersonal relationship skills including negotiating and relationship management skills
• Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)
• Proven expertise on MS Office Suite (e.g., Microsoft Office Excel, PowerPoint, Word, and Access)
• Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, Salesforce.com) preferred
• Excellent and successful project management skills
• Recognized as an expert in own area within the organization
• Expert understanding of processes and equipment used in assigned work
• Strong leadership skills and demonstrated ability to influence change
• Strict attention to detail
• Ability to interact professionally with all organizational levels
Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.
For California, the base pay range for this position is $139,000 to $196,000 (highly experienced).
The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website.
Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities.

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About Edwards Lifesciences

Sourced by ZipRecruiter

Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide. For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Irvine, CA, US

Year founded

1958