Senior Data Integrity & Validation Lead

Resmed

San Diego (CA)

On-site

USD 94,000 - 148,000

Full time

11 days ago

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Benefits offered by this job

Medical, dental, vision
HSA & FSA
401(k) and ESPP
Flexible Time Off
14 paid holidays
Caregiver leave

Job summary

Resmed seeks a data insights professional to anchor trusted analytics across our Commercial Insights and Data Science teams in San Diego. You will connect data sources, validate quality, and translate complex findings into clear business recommendations for leaders and partners.

You will establish standard metrics, governance, and documentation to ensure reliability of enterprise data, dashboards, and analytic products across the organization.

Qualifications

  • Bachelor's degree or higher in IT, analytics, CS, finance, statistics, business, or related field.
  • 5+ years in data analytics, BI, data quality, governance, or related analytics.
  • Proficiency in SQL for data investigations, reconciliations, and large datasets.
  • Strong understanding of databases, data warehousing, pipelines, and enterprise reporting.

Responsibilities

  • Define data requirements, metrics, business rules, and use cases with stakeholders.
  • Validate data sources for accuracy and usability with minimal supervision.
  • Investigate discrepancies across datasets and recommend remediation.
  • Develop repeatable data validation processes and quality controls.

Skills

SQL
Data governance
Relational DB
Data warehousing
BI Tools
Data validation
Data storytelling
Stakeholder collaboration

Education

Bachelor's degree in IT/Analytics

Tools

Power BI
Tableau

Job description

Resmed seeks a data insights professional to anchor trusted analytics across our Commercial Insights and Data Science teams in San Diego. You will connect data sources, validate quality, and translate complex findings into clear business recommendations for leaders and partners.

You will establish standard metrics, governance, and documentation to ensure reliability of enterprise data, dashboards, and analytic products across the organization.

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