The role involves leading data insights, developing automation tools, and managing stakeholder engagement to drive ecommerce strategy and insights for the Sales and Marketing Team.
Job Description:
The ecommerce channel is and will be the key contributor to Petcare Category growth in the future and this is the same for Royal Canin Europe.
You will to co-pilot Sales and Marketing Team in navigating through business challenges via equipping the team with actionable sales/marketing/shopper/consumer insights and recommendations to empower data driven decision making with the ambition to win in ecom space.
This will require leading the development of the data sources, partnering with technical teams to create processes and tools to automate reporting, create data visualization tools, and tools to run advanced analytics as well as building capabilities within the team to upscale on data. The role will help shape the future strategy of the brand within EKA and will require limited external customer facing time.
- Proven experience in either an analytical position (Consultant, Sales/Data Analytics) or a commercial role (Sales/ Marketing/ Category Development)
- Strong analytical mindset. A passion for data analysis, data visualization & optimization
- Ability to land data science into business practice and enabled advanced modelling technique
- Proven stakeholder management and engagement experience
- The capacity to design automated tools
- Mastery of common reporting tools – Excel, Power BI, Tableau (Required)
- Knowledge of SQL & Python (Desirable) ECommerce experience (Desirable)
- Knowledge of web analytics tools (Desirable)
Key responsibilities:
- Lead the data acceleration strategy and agenda, build holistic data approach
- Pioneer quick and user friendly data & insights driving category overview and turning into tangible actions for the sales and marketing teams.
- Bring qualitative analysis , insights and recommendations
- Build data native demand team
- Deliver sustainable insights via setting up the right process for gathering, processing, analysing, visualizing data and driven insights and recommendations
- Ability to navigate stakeholders, build connections and mutualize resources/capabilities within broader Mars data eco-system, department peers and 3d party agencies
- Work with 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.
Top Skills
Excel
Power BI
Python
SQL
Tableau
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and implement sales strategies for a portfolio of Fortune 1000 accounts, engaging customers, building relationships, and achieving revenue targets while collaborating with internal teams.
Top Skills:
ConfluenceJira Service ManagementJira SoftwareSalesforce
AdTech • Digital Media • eCommerce • Marketing Tech
The ML Ops Engineer will operationalize machine learning models, optimize deployment pipelines, manage infrastructure for production environments, and collaborate with data scientists on enhancing model performance.
Top Skills:
AWSDatabricksDelta Live TablesMlflowPysparkPythonSQL
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Manage enterprise accounts, execute account strategies, negotiate agreements, and build relationships with key decision makers while exceeding sales targets.
Top Skills:
CloudCybersecurityMeddpicc Sales MethodologySaaSSalesforce
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
