Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve our most critical problems through Data & Analytics is fundamental to our growth ambition and transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities means that we are looking to accelerate our capabilities and drive value for Mars Inc.
The opportunities are significant for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems, leveraging the rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our business.
This is a dynamic role for someone who can combine superior technical skills, business acumen, and an ability to influence to drive impact across an organization. You will play a critical role in analyzing large sets of data to provide valuable insights and recommendations to drive both strategic and operational decisions.
The position will collaborate very closely with stakeholders across business units, across multiple functions & domains, bringing to life our vision of delivering insights and self-service data tools.
An ideal candidate will be intuitively “data curious” and enjoy uncovering insights from data that can enable better business decisions. They will have a background manipulating data at scale and translating it into actionable, relevant, and timely insights for stakeholders. They will exhibit strong analytical skills, written and verbal skills, and enjoy working in a collaborative team-based environment.
Technical Skills
Undergraduate degree in a technical field such as Data Science, Mathematics, Engineering, or similar
5 – 10 years of experience working in Data Analytics/Insights. · Strong analytical and quantitative skills, with experience in statistical analysis and modeling
Experience with machine learning algorithms and techniques, such as regression, classification, clustering, or time-series analysis
Familiarity with data preprocessing and feature engineering techniques
Basic knowledge of data science concepts and methodologies, with a strong interest in developing technical skills in data analysis, statistics, and machine learning
Proficiency with Python, including common data and analytical packages; The ability to learn new programming languages and tools as needed
Experience with Power BI to present insights for non-technical users
Basic understanding of SQL for data extraction and manipulation
Business Skills
Demonstrated ability to engage with Sales and Marketing leaders to define business needs, design a solution, and implement it using advanced analytical methods.
Strong written and verbal communication skills, with an ability to translate insights into actionable recommendations.
Ability to translate data into highly visual dashboards that can be intuitively understood by associates from entry to executive level, regardless of the user’s data fluency.
Keen focus on accuracy, efficiency, and process improvement in all aspects of work.
Delivering bespoke analysis for business unit leadership to drive strategic direction
Developing, Maintaining, and Extending enterprise level dashboards & capabilities that track performance & uncover insights.
Assist in data collection, cleaning, and preprocessing activities to ensure data quality and reliability.
Driving innovation by exploring data assets in search of new applications, and/or by applying advanced analytical techniques to existing processes. ·
Support the development and implementation of data models and algorithms under the guidance of senior team members.
Collaborate with cross-functional teams within the Data & Analytics ecosystem to understand business requirements and contribute to the design of analytical solutions.
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.
#TBDDT
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 penalized as a result of such a request.
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