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Edwards Lifesciences

Senior Data Analyst, Commercial Analytics

Posted 3 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Malaysia
Senior level
Remote
Hiring Remotely in Malaysia
Senior level
The Senior Data Analyst in Commercial Analytics drives data-driven decision-making by delivering advanced analytics, actionable insights, and building data assets, while collaborating with commercial teams for performance tracking and reporting.
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Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs.

he Senior Data Analyst, Commercial Analytics plays a critical role in enabling data-driven decision-making and commercial performance. This role is responsible for delivering advanced analytics, generating actionable insights, and building scalable, business-ready data assets. The position partners closely with the commercial teams and in-region partners to translate business needs into analytical solutions, while establishing a robust data foundation within the Snowflake data warehouse and enabling self-service analytics through Power BI.

How you will make an impact:

Commercial Insights & Decision Support

  • Generate actionable insights to support commercial strategy, performance management, and market expansion
  • Develop and maintain standardized reporting frameworks for sales, marketing, and channel performance
  • Translate data into clear recommendations for leadership, enabling timely and informed decisions

Data Management & Analytics Enablement

  • Curate and maintain business-ready datasets, ensuring consistency, quality, and scalability across markets
  • Establish and optimize data pipelines to enable continuous insight generation
  • Support harmonization of data definitions, metrics, and dashboards across JAPAC

Performance Tracking & Reporting

  • Build and enhance dashboards and reporting tools (e.g., CRM, BI platforms) to track key commercial KPIs
  • Deliver regular business reviews with clear narratives and insight

Stakeholder Partnership

  • Collaborate with in-region Commercial Excellence, Sales, Marketing, Finance, and IT teams
  • Act as a trusted advisor to regional and country leadership teams
  • Incorporate voice-of-customer into analytics solutions and reporting enhancements

Spear-heading & Continuous Improvement

  • Establish and guide the region in data and analytics frameworks
  • Identify opportunities to future-proof the region in analytics capabilities
  • Drive adoption of analytics outcomes and best practices across markets
  • Support rollout of new systems and analytics capabilities across multiple countries

What you'll need (Requirements):

  • Bachelor’s or Master’s degree in Analytics, Statistics, Business Information Systems, Finance, or a related field
  • 5–8+ years of experience in commercial analytics, business intelligence, or commercial operations
  • Experience working in a regional / multi-country environment (Asia-Pacific preferred)
  • Hands-on experience with Snowflake data warehouse and modern data platforms preferred
  • Experience in developing dashboards and reporting solutions using Power BI
  • Strong proficiency in Excel, SQL, and other BI tools
  • Experience with CRM systems (e.g., Salesforce) is desirable

What else we look for (Preferred):

  • Advanced analytical thinking and structured problem-solving skills
  • Ability to translate data into clear business narratives
  • Stakeholder management, influencing capability, and communication skills (including senior leadership)
  • Ability to design and optimize processes and policies which drives data accuracy and integrity
  • Agile mindset with ability to manage multiple priorities
  • Strong proficiency in Power BI, including data modeling, DAX, and dashboard development
  • Solid understanding of Snowflake architecture, data modeling, and data curation principles
  • Ability to leverage on Gen AI or equivalent to drive productivity
     

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