Data Analytics Engineer

Masimo•Irvine, CA

1d•$90,000 - $110,000•Onsite

About The Position

The Data Analytics Engineer will support Masimo’s Quality organization by developing dashboards, performing data analysis, and transforming large datasets into meaningful insights. This role partners closely with Quality Compliance, Product Assurance, Engineering, Operations and cross-functional stakeholders to enhance data visibility, drive data-informed decisions, and support continuous improvement across the organization. The ideal candidate is technically strong in analytics tools, comfortable working with structured and unstructured data, and eager to grow in a fast-paced and evolving environment.

Requirements

0–2+ years of experience in data analytics, business intelligence, or engineering analytics; internship or project experience considered.
Hands-on experience with SQL and Power BI (including Power Query/M and DAX).
Strong analytical and problem-solving skills with high attention to detail.
Ability to translate data into clear insights for technical and non-technical partners.
Strong verbal, written, and visual communication skills, with the ability to present confidently and engage diverse audiences.
Ability to work independently and in a team environment.
Curiosity and willingness to learn new tools, systems, and techniques.
Bachelor’s degree in Data Analytics, Data Science, Business Intelligence, Computer Science, Engineering, or a related field required.

Nice To Haves

Experience using Python or R for data manipulation, modeling, or visualization preferred.
Familiarity with data visualization tools (Power BI highly preferred; Tableau or Looker a plus).
Understanding of statistics, data modeling, or quantitative analysis techniques.
Master’s degree in a relevant field is a plus but not required.

Responsibilities

Develop and maintain Power BI dashboards and reports that translate complex data sets into clear, actionable information.
Perform data transformation and modeling using SQL, Power Query (M), and DAX to support quality metrics, KPIs, and trend analysis.
Support routine and ad-hoc data analytics requests related to customer feedback, failure analysis, operations, and compliance activities.
Analyze large datasets to identify trends and process improvement opportunities.
Collaborate with Quality Compliance, Product Assurance, and cross-functional engineering teams to ensure data accuracy, consistency, and alignment with business needs.
Communicate findings through effective data storytelling, written summaries, and monthly presentations to cross functional leaders across the organization.
Contribute to continuous improvement efforts in reporting automation, dashboard optimization, and analytics best practices.