Senior Data Analytics Manager - Supply Chain Transformation (24-month contract)

Posted Yesterday
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Bella Vista, New South Wales
Senior level
Healthtech
The Role
As a Senior Data Analytics Manager, you will lead a supply chain transformation project by conducting data discovery, gathering business requirements, designing data solutions, implementing quality measures, and collaborating with cross-functional teams to enhance operational efficiency.
Summary Generated by Built In

Lets talk about the team:

At ResMed, the global leader in sleep technology, we are dedicated to transforming care for people with sleep apnea, COPD, and other chronic diseases. Our innovative work shapes the future of healthcare, and we are united in our mission to improve millions of lives worldwide.

 

We are looking for a highly skilled Senior Data Analytics Manager to lead a key supply chain transformation project. In this pivotal role, you will be at the forefront of data discovery, solution design, quality assurance, and issue resolution. Your deep understanding of supply chain functions, coupled with your ability to translate user stories into actionable data and analytics requirements, will drive transformative solutions that enhance operational efficiency.

 

You’ll collaborate closely with cross-functional teams, including Data and Analytics Analysts, working on both business and transformational initiatives. While this is a 24-month contract, there is potential for extension or permanency, offering further opportunities to lead and grow a team of associates.

Let's Talk About the Role

Data Discovery and Analysis:

  • Conduct thorough data discovery to identify key data sources and understand the current data landscape.

  • Collaborate with stakeholders to gather and analyze business requirements from a data readiness perspective.

  • Identify business processes and respective process owners related to the creation/maintenance of critical data elements.

Requirements Detailing, User Stories, and Solution Design:

  • Translate high-level business requirements and user stories into detailed data and analytics requirements.

  • Collaborate with product owners, business analysts, and other stakeholders to ensure accurate and complete requirement specifications.

  • Validate that proposed solutions meet business needs and user expectations.

  • Design robust data and analytics solutions to address identified business needs and challenges.

  • Ensure solutions are scalable, efficient, and aligned with overall project goals.

Quality Measurement and Data Integrity:

  • Establish and implement data quality metrics and KPIs to measure the effectiveness of data solutions.

  • Monitor data quality and integrity throughout the project lifecycle, identifying and resolving data issues promptly.

  • Measure plan quality in terms of demand supportability and plan recommendation stability.

  • Implement best practices for data governance and ensure compliance with industry standards.

Data Issue Resolution:

  • Identify root causes of data-related issues and develop strategies to resolve them.

  • Identify system and process improvements to prevent data quality issues.

  • Work with IT and business teams to troubleshoot and rectify data discrepancies and inconsistencies.

  • Develop and maintain documentation for issue resolution processes and procedures.

Cross-functional Collaboration:

  • Work across different supply chain functions (e.g., procurement, logistics, inventory management) to ensure cohesive data and analytics strategies.

  • Facilitate cross-functional workshops and meetings to drive alignment and integration of data solutions.

  • Serve as a liaison between technical and non-technical teams to ensure clear communication and understanding.

Let's Talk About Qualifications & Experience:

  • Proven experience in data analysis, data management, and analytics within supply chain functions.

  • Strong understanding of supply chain domains and processes.

  • Excellent problem-solving skills and ability to resolve data-related issues efficiently.

  • Demonstrated ability to translate business requirements into detailed data and analytics specifications.

  • Strong communication and collaboration skills to work effectively with cross-functional teams.

  • Knowledge of data governance best practices and industry standards.

If you are passionate about driving supply chain transformation through data and analytics, we encourage you to apply for this exciting opportunity!

#LI-APAC

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! We commit to respond to every applicant.

Top Skills

Data
The Company
HQ: San Diego, CA
5,300 Employees
On-site Workplace
Year Founded: 1989

What We Do

ResMed provides medical equipment for treating, diagnosing, and managing sleep-disordered breathing and other respiratory disorders.

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