Sr Analyst, Data Integrity, Enablement & Validation

Medifox DAN GmbH; San Diego (CA); Hybrid; USD 94,000 - 148,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

401(k) Plan

Flexible Time Off

Paid holidays

Caregiver Leave

Job summary

Resmed is seeking a data insights professional to ensure every business insight is built on reliable, well-understood data. You will connect data sources, analytics teams, and stakeholders to create a single version of truth, supporting smarter decisions for patients, providers, and partners.

You will develop validation processes, reconcile discrepancies, and translate complex findings into clear recommendations.

Qualifications

• 5+ years of experience in data analytics, BI, or data governance.
• Proficiency in SQL for validating, reconciling, and analyzing datasets.
• Experience with healthcare or medical devices data preferred.

Responsibilities

• Define data requirements, metric definitions, business rules with stakeholders.
• Validate internal and external data sources for accuracy, consistency, completeness, and usability.
• Investigate and reconcile discrepancies across datasets; identify root causes and remediation.
• Develop, maintain, and enhance repeatable validation processes and quality controls.
• Validate new datasets, metrics, dashboards before broader adoption; collaborate with data engineering.
• Monitor datasets for anomalies and document data lineage.

Skills

SQL proficiency

Data quality

Data governance

BI tools

Healthcare data experience

Education

Bachelor’s degree in IT / data analytics

Tools

Power BI

Tableau

Data warehousing

Job description

Champion trusted data that drives confident decisions

In this role, you help ensure that every business insight across Resmed is built on reliable, transparent, and well‑understood data. As part of the Data Insights team within our Commercial Insights and Data Science organization, you connect data sources, analytics teams, and business stakeholders to create a single version of truth. Your work supports smarter decisions that help us deliver innovative solutions to patients, providers, and partners.

You will bring clarity to complex data landscapes—supporting the development and adoption of standardized metrics, validating data quality, reconciling inconsistencies, and embedding repeatable integrity checks that enhance confidence in analytics and enterprise reporting. This is an opportunity to combine technical expertise with business understanding and communication skills to translate complex data issues into clear findings, recommendations, and solutions; hence enabling the entire organization to make decisions based on trusted information.

What You’ll Do

• 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.

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.