Data Analyst

ResMed Inc; Kuala Lumpur; On-site; MYR 120,000 - 160,000; Full time

Job summary

ResMed is seeking a data analytics professional to support Sales Operations, data warehousing, and governance. You will analyze sales data, build dashboards, and manage data quality across multiple sources. The role requires strong SQL and BI tool experience, with collaboration across business and tech teams.

You will work on data models, ETL/ELT processes, and reporting automation, driving insights for commercial strategies and performance reviews.

Qualifications

• > Bachelor's degree required in a related field.
• > 5+ years of experience in data analytics or BI-related roles.
• > Strong SQL and relational database experience.
• > Experience with data warehousing, ETL/ELT concepts, and data integration.
• > Hands-on with Power BI/Tableau/Cognos.
• > Knowledge of data modeling, quality, governance, and lineage.
• > Strong analytical, communication, and stakeholder management skills.
• > Ability to work independently and collaborate with business and tech teams.

Responsibilities

• Analyze sales and commercial data to identify trends, patterns, data issues, and improvement opportunities.
• Develop and maintain reports, dashboards, and analytical outputs for decision-making.
• Support data-related activities for commission, incentive, quota, and compensation programs.
• Extract, transform, and analyze data from multiple sources for Data Warehouse/DataMart.
• Ensure data quality, governance, definitions, and lineage are maintained.
• Create and maintain Data Dictionaries and Source-to-Target mappings.
• Assist with data access requests and ensure data security compliance.
• Develop BI outputs using Power BI, Tableau, Cognos, or similar tools.
• Identify opportunities to automate data processes and reporting.

Skills

SQL

Data analytics

Data visualization

Data storytelling

Stakeholder management

Problem solving

Independent worker

Education

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics

Tools

Power BI

Tableau

Cognos

Job description

Key Responsibilities

Sales Operations & Data Analytics Support

Sales Operations through data analysis, reporting, and data management activities. Analyse sales and commercial data to identify trends, patterns, data issues, and opportunities for improvement. Work with business stakeholders to understand requirements and translate them into clear data, reporting, and analytical solutions. Develop and maintain reports, dashboards, and analytical outputs to support business decision-making.

Sales Commission & Incentive Data

Support data-related activities for sales commission, incentive, quota, and compensation programs. Prepare, validate, and reconcile commission-related datasets to ensure accuracy and completeness. Investigate data discrepancies and support resolution of commission and incentive data issues. Provide data and reporting support for commission calculations, analysis, and business reviews.

Data Warehouse & DataMart Solutions

Support the development, maintenance, and enhancement of enterprise Data Warehouse and DataMart solutions. Extract, transform, and analyze data from multiple internal and external sources. Support integration of customer, physician, sales, product, and other commercial datasets. Develop and maintain SQL queries, data transformations, and analytical datasets. Participate in data modeling and ETL/ELT activities to support reporting and analytics requirements. Collaborate with GTS and other technical teams to troubleshoot and resolve data-related issues.

Data Quality & Governance

Perform data quality checks, validation, reconciliation, and profiling to ensure data accuracy and consistency. Identify data discrepancies, anomalies, duplicates, and inconsistencies and work with relevant teams to resolve them. Support implementation of data governance standards and processes. Maintain data definitions and business rules to ensure consistent interpretation of sales and commercial data. Contribute to data quality monitoring and continuous improvement initiatives.

Data Documentation & Lineage

Create and maintain Data Dictionaries, Source-to-Target mappings, Data Lineage, and business rules. Document data sources, transformations, relationships, and dependencies.

Data Access & Security

Support data access requests in accordance with established policies and procedures. Work with GTS and business stakeholders to define user data access requirements. Support appropriate handling of sensitive and confidential business data in accordance with company policies and applicable data privacy and security requirements.

Reporting & Business Intelligence

Develop and maintain dashboards and reports using Power BI, Tableau, Cognos, or similar BI platforms. Transform complex datasets into clear and actionable business insights. Monitor report and dashboard performance and identify opportunities for optimization. Ensure reporting outputs are accurate, timely, and aligned with agreed business requirements.

Continuous Improvement & Automation

Identify opportunities to improve data processes, reporting, and analytical workflows. Automate repetitive data preparation, validation, and reporting activities where appropriate. Explore the use of Python, AI, and ML to improve data analysis and operational efficiency. Stay current with data analytics, visualization, data management, and business intelligence best practices.

Qualifications & Experience Required

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Engineering, or a related field.
• Minimum 5 years of experience in data analytics, sales analytics, data management, business intelligence, or a related field.
• Strong experience in SQL and working with relational databases.
• Experience with data warehousing, DataMart, ETL/ELT, and data integration concepts.
• Hands‑on experience with Power BI, Tableau, Cognos, or similar BI/reporting tools.
• Experience performing data analysis, data validation, reconciliation, and troubleshooting.
• Understanding of data modeling, data quality, governance, and data lineage.
• Strong analytical, problem‑solving, communication, and stakeholder management skills.
• Ability to work independently while collaborating effectively with business and technology teams.

Preferred Experience or exposure to Python, ML, or AI.

Certification in data management, analytics, or data warehousing technologies.

Experience supporting sales compensation or incentive-related datasets.

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, we commit to respond to every applicant.

Resmed (NYSE:RMD, ASX: RMD) creates life‑changing health technologies that people love. We’re relentlessly committed to pioneering innovative technology to empower millions of people in more than 140 countries to live happier, healthier lives. Our AI‑powered digital health solutions, cloud‑connected devices and intelligent software make home healthcare more personalized, accessible and effective. Ultimately, Resmed envisions a world where every person can achieve their full potential through better sleep and breathing, with care delivered in their own home. Learn more about how we’re redefining sleep health at Resmed.com and follow @Resmed.