Data and Analytics Lead - Source to Pay

Data and Analytics Lead - Source to Pay

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data strategies and reporting for the Source to Pay process.
  • Company: Join Royal Canin, a leader in pet nutrition and health.
  • Benefits: Enjoy competitive salary, bonuses, and access to Mars University for learning.
  • Why this job: Be part of a transformative project that impacts pet health globally.
  • Qualifications: Experience in business intelligence and understanding of KPIs required.
  • Other info: This is a project-based role with potential for future opportunities.

The predicted salary is between 43200 - 72000 £ per year.

ROYAL CANIN’S MISSION IS TO TRANSFORM EACH CAT AND DOG'S HEALTH AND WELL-BEING BY PUSHING THE LIMITS OF NUTRITION AND KNOWLEDGE IN PARTNERSHIP WITH PET PROFESSIONALS.

To make our ambitions a reality, Royal Canin is undertaking a major business transformation focusing on end-to-end business processes, people, and data, enabled by technology. Through this transformation we are aiming to reinvent our core processes, adapting our data models and tech platforms while focusing on enhancing the experience for users, customers, and our Associates.

We are hiring a Data and Analytics Engagement Lead for the Source to Pay process area. The Engagement Lead will work closely with global process owners, business process owners, change experience teams, and data and analytics teams to challenge, harmonise, standardise, and where needed, adapt/deliver reporting requirements. The role requires individuals to closely collaborate with various functions while maintaining focus on delivery, deployment, and adoption of reporting in the markets. Experience in business intelligence and an appreciation of functional domains is essential to be successful in this role. Exposure to understanding definitions and delivery of KPIs in procure to pay and sustainability process areas would be ideal. The role requires candidates to know about data architecture and data modelling with a great understanding of KPIs. To be successful, you'd need to have excellent functional understanding of the Source to Pay functional area with BI exposure, instead of being a technical BI expert.

Key Responsibilities:

  • You will engage business and data owners to develop data strategies, build data acquisition roadmaps, and identify external data opportunities.
  • You will manage collection, assessment, and integration of the data assets.
  • Drive change to align strategic needs into data acquisition.
  • You will be responsible for ensuring the data architecture of the data model is fit for purpose for reporting needs.
  • You will inform the design of a source agnostic integrated data model for reporting.
  • You will highlight areas of data management, distribution, and consumption patterns for architecture.
  • You will understand data models in the Source to Pay process and ERP systems such as SAP.
  • You will have a sound understanding of the Microsoft Azure Analytics Tech Stack.
  • You will collaborate with change experience managers for business readiness for critical milestones.
  • You will engage with process owners to catalogue reporting requirements.
  • You will document reporting requirements and translate functional requirements to system requirements to support the development of reports.
  • You will advocate for self-service and thereby support the deployment and adoption of this within the business.
  • You will collaborate closely with the EOS teams to ensure the smooth deployment of reports across digital core and edge systems, including service introduction.

What can you expect from Mars? Work with over 140,000 diverse and talented Associates, all guided by the Five Principles. Join a purpose-driven company, where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus.

This role is a project-based transformation role and has a current expected end date of 3 years. As we move closer to the date, we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end.

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalised as a result of such a request.

Data and Analytics Lead - Source to Pay employer: Mars, Incorporated and its Affiliates

At Royal Canin, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through best-in-class learning opportunities, including access to Mars University, ensuring you are equipped to excel in your role as Data and Analytics Lead. Located in a purpose-driven environment, you will be part of a diverse team dedicated to transforming pet health and well-being, all while enjoying a competitive salary and benefits package.
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Contact Detail:

Mars, Incorporated and its Affiliates Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data and Analytics Lead - Source to Pay

✨Tip Number 1

Familiarise yourself with the Source to Pay process and its key performance indicators (KPIs). Understanding these will help you demonstrate your knowledge during interviews and discussions, showing that you're not just a data expert but also have a solid grasp of the functional area.

✨Tip Number 2

Network with professionals in the data and analytics field, especially those who have experience with ERP systems like SAP. Engaging with industry peers can provide insights into the role and may even lead to referrals or recommendations.

✨Tip Number 3

Stay updated on the latest trends in data architecture and analytics technologies, particularly the Microsoft Azure Analytics Tech Stack. Being knowledgeable about current tools and methodologies will position you as a strong candidate who can contribute to the company's transformation goals.

✨Tip Number 4

Prepare to discuss how you would advocate for self-service reporting within the business. Think of examples where you've successfully implemented similar strategies in the past, as this will showcase your ability to drive change and enhance user experience.

We think you need these skills to ace Data and Analytics Lead - Source to Pay

Business Intelligence
Data Architecture
Data Modelling
Understanding of KPIs
Source to Pay Process Knowledge
ERP Systems Knowledge (e.g., SAP)
Microsoft Azure Analytics Tech Stack
Data Acquisition Strategies
Reporting Requirements Documentation
Collaboration Skills
Change Management
Self-Service Reporting Advocacy
Data Management and Integration
Functional Domain Appreciation

Some tips for your application 🫡

Understand the Role: Before applying, make sure to thoroughly read the job description for the Data and Analytics Lead position. Understand the key responsibilities and required skills, especially in business intelligence and data architecture.

Tailor Your CV: Customise your CV to highlight relevant experience in data strategies, reporting requirements, and collaboration with various functions. Emphasise any exposure you have to the Source to Pay process and Microsoft Azure Analytics Tech Stack.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for transforming data into actionable insights. Mention specific examples of how you've successfully managed data projects or collaborated with teams to meet reporting needs.

Highlight Relevant Skills: In your application, clearly outline your understanding of KPIs, data models, and your ability to advocate for self-service reporting. This will demonstrate your fit for the role and your readiness to contribute to the company's transformation goals.

How to prepare for a job interview at Mars, Incorporated and its Affiliates

✨Understand the Source to Pay Process

Make sure you have a solid grasp of the Source to Pay process. Familiarise yourself with how data flows through this area and be ready to discuss your insights on improving efficiency and reporting.

✨Showcase Your Business Intelligence Experience

Highlight your experience in business intelligence, especially in relation to KPIs and data architecture. Be prepared to provide examples of how you've successfully implemented BI solutions in previous roles.

✨Demonstrate Collaboration Skills

Since the role involves working closely with various teams, be ready to share examples of how you've effectively collaborated with different stakeholders in past projects. Emphasise your ability to communicate complex data concepts clearly.

✨Familiarity with Microsoft Azure Analytics

Brush up on your knowledge of the Microsoft Azure Analytics Tech Stack. Be prepared to discuss how you've used these tools in your previous roles and how they can be leveraged for the Source to Pay process.

Data and Analytics Lead - Source to Pay
Mars, Incorporated and its Affiliates
M
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