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Sr Analyst, Data Integrity, Enablement & Validation

ResMed
San Diego, USA
Full-time
Senior · 5+ years experience
Onsite
USD 94000-148000 / year
Discovered 2 weeks ago
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Full Job Posting

What You Bring

  • Bachelor’s degree in information technology, data analytics, computer science, finance, statistics, business, or related field.
  • 5+ years of experience in data analytics, business intelligence, data quality, data governance, or related analytical discipline.
  • Proficiency in SQL for investigating, identifying root causes of data discrepancies, validating, reconciling, and analyzing large and complex datasets across multiple systems.
  • Strong understanding of relational databases, data warehousing, data pipelines, and enterprise reporting environments, with the ability to connect technical data structures to underlying business processes.
  • Proven experience developing and applying data validation processes, quality assurance, business rules, and/or data governance practices in a business setting, to improve data accuracy and reliability.
  • Familiarity with BI tools such as Power BI or Tableau.
  • Strong analytical and problem-solving skills with exceptional attention to detail and the ability to clearly communicate complex data issues, methodologies, and findings to technical and non-technical audiences.
  • Strong interpersonal, collaboration, organizational, documentation, and time-management skills, with the ability to work effectively and influence across teams without direct authority.
  • Experience within healthcare, medical devices, or other complex data environments preferred.
  • What Sets You Apart
  • Data Stewardship Mindset - You treat data as a business asset and drive integrity across systems and teams.
  • Analytical Curiosity - You dig deep into data patterns and anomalies to uncover root causes.
  • Clear Communicator - You make complex data stories understandable and actionable for any audience.
  • Collaborative Approach - You build relationships across functions to align on definitions and outcomes.
  • Systems Thinker - You connect upstream sources to downstream analytics and reporting impacts.
  • Continuous Improver - You seek ways to enhance processes and ensure ongoing data reliability.
  • Why Join Resmed
  • At Resmed, your work helps shape how data supports better health outcomes worldwide. You’ll be part of a team that values collaboration, precision, and innovation through actionable insights. We believe trusted data leads to trusted decisions—and that confidence ultimately benefits patients, providers, and partners.
  • Benefits and Compensation
  • At Resmed, we're shaping the future by investing in our people through competitive pay, flexible work arrangements, and programs that support personal and professional growth.
  • Benefits (employees regularly scheduled to work 30+ hours per week) include:
  • Medical, dental, vision, life, AD&D, and disability insurance
  • HSA, FSA, commuter benefits, and sleep care management
  • 401(k), ESPP, EAP, and tuition assistance
  • Flexible Time Off (FTO) for salaried employees
  • 14 paid company holidays
  • Up to 14 weeks primary caregiver leave or 2 weeks secondary caregiver leave
  • Compensation: Compensation is based on geographic location, qualifications, experience, skills, and internal equity. Resmed generally does not hire at or near the top of the pay range.
  • Pay Range: $94,000 - $148,000 USD Annual
  • Eligible employees may have the opportunity to participate in incentive compensation programs, subject to applicable plan terms and eligibility requirements.
  • Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now!

Qualifications

  • Bachelor’s degree in information technology, data analytics, computer science, finance, statistics, business, or related field.
  • 5+ years of experience in data analytics, business intelligence, data quality, data governance, or related analytical discipline.
  • Proficiency in SQL for investigating, identifying root causes of data discrepancies, validating, reconciling, and analyzing large and complex datasets across multiple systems.
  • Strong understanding of relational databases, data warehousing, data pipelines, and enterprise reporting environments, with the ability to connect technical data structures to underlying business processes.
  • Proven experience developing and applying data validation processes, quality assurance, business rules, and/or data governance practices in a business setting, to improve data accuracy and reliability.
  • Familiarity with BI tools such as Power BI or Tableau.
  • Strong analytical and problem-solving skills with exceptional attention to detail and the ability to clearly communicate complex data issues, methodologies, and findings to technical and non-technical audiences.
  • Strong interpersonal, collaboration, organizational, documentation, and time-management skills, with the ability to work effectively and influence across teams without direct authority.
  • What Sets You Apart
  • Data Stewardship Mindset - You treat data as a business asset and drive integrity across systems and teams.
  • Analytical Curiosity - You dig deep into data patterns and anomalies to uncover root causes.
  • Clear Communicator - You make complex data stories understandable and actionable for any audience.
  • Collaborative Approach - You build relationships across functions to align on definitions and outcomes.
  • Systems Thinker - You connect upstream sources to downstream analytics and reporting impacts.
  • Continuous Improver - You seek ways to enhance processes and ensure ongoing data reliability.
  • Why Join Resmed
  • At Resmed, your work helps shape how data supports better health outcomes worldwide. You’ll be part of a team that values collaboration, precision, and innovation through actionable insights. We believe trusted data leads to trusted decisions—and that confidence ultimately benefits patients, providers, and partners.
  • Benefits and Compensation
  • At Resmed, we're shaping the future by investing in our people through competitive pay, flexible work arrangements, and programs that support personal and professional growth.
  • Medical, dental, vision, life, AD&D, and disability insurance
  • HSA, FSA, commuter benefits, and sleep care management
  • 401(k), ESPP, EAP, and tuition assistance
  • Flexible Time Off (FTO) for salaried employees
  • 14 paid company holidays
  • Up to 14 weeks primary caregiver leave or 2 weeks secondary caregiver leave
  • Compensation: Compensation is based on geographic location, qualifications, experience, skills, and internal equity. Resmed generally does not hire at or near the top of the pay range.
  • Pay Range: $94,000 - $148,000 USD Annual
  • Eligible employees may have the opportunity to participate in incentive compensation programs, subject to applicable plan terms and eligibility requirements.
  • Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now!

Preferred Qualifications

  • Experience within healthcare, medical devices, or other complex data environments preferred.

Responsibilities

  • Partner with business, analytics, product, and technical stakeholders to define data requirements, metric definitions, business rules, and use cases.
  • Validate internal and external data sources for accuracy, consistency, completeness, and usability with minimal supervision.
  • Investigate and reconcile discrepancies across multiple datasets and reporting environments, identify root causes and recommend remediation.
  • Develop, maintain, and enhance repeatable validation processes, reconciliation methodologies, and quality controls for critical business data.
  • Validate new datasets, metrics, dashboards, and analytical products prior to broader adoption, and collaborate with data engineering and analytics teams to address upstream data quality issues.
  • Monitor key datasets and metrics for anomalies, gaps, unexpected changes, and emerging data quality concerns, and develop reporting tools that provide visibility into data integrity.
  • Support the development and governance of standardized enterprise metrics, definitions, and business rules, while maintaining clear documentation of data sources, lineage, methodologies, assumptions, and limitations.
  • Enable analysts and business partners to effectively access, understand, and use trusted data for analysis and insights-generation.
  • Translate complex technical findings into clear, non-technical language for business stakeholders and leadership to support informed decision-making.

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