Analytics and Insights Manager - Durban at RCL Foods

Job Description    
At RCL FOODS we see and do things differently, we think bigger, work smarter and as a team collectively work towards achieving our ambition, to Grow What Matters!

RCL FOODS is on the hunt for an experienced Analytics and Insights Manager to lead our efforts in understanding, mining, visualising and adoption of customer data sets.The ideal candidate possesses strong mathematical and statistical expertise, coupled with a natural curiosity and creative mindset. While actively engaged in mining, interpreting, and cleaning data, this individual will play a crucial role in asking pertinent questions, connecting dots, and uncovering hidden opportunities to maximise the full potential of our data and subsequently, our business. This individual should ideally strong category and retail experience to understand the business context and translate data insights into actionable recommendations for key business stakeholders. As an integral part of the insights team, the individual will need to use various methods to "slice and dice" data, contributing to the creation of innovative visions for the future. This individual will be seen as the relevant ‘expert’ in customer data systems and insight generation and aid in upskilling, training and embedding usage of these within the Growth team. Therefore strong communication and visualisation skills are required to convey findings effectively to non-technical stakeholders is critical.

Minimum Requirements 

• Business/Information Systems/Mathematics/ Statistical related qualification.
• Solid background in Category, Shopper Marketing or Customer Marketing or retail analytics.
• 7+ years relevant experience
• Track record of working with customer related data sets directly from customer portals
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced experience in pattern recognition and predictive modeling
• Experience with Excel, PowerPoint, Tableau, SQL, Power BI, and programming languages (ex: Java/Python, SAS) with strong visualisation skills.
• Demonstrated success in a commercial-focused environment.
• Proven ability to develop good working relationships, with strong communication skills

Duties & Responsibilities    
Key Responsibilities

• Analyse data sources, including external customer and category sell-out, customer loyalty, omnichannel as well as internal sell-in data, to identify opportunities for improvements and growth in shopper marketing and category management.
• Formulate compelling commercial propositions to enhance the weight of purchase, frequency of purchase, and basket penetration.
• Collaborate with Customer, Customer Marketing, and Marketing teams to identify opportunities for achieving category and brand growth in a commercially sustainable manner across various retailers,
• Provide data-led, fact-based propositions to inform and guide category growth roadmaps.
• Develop and implement data-driven strategies to optimise marketing and shopper marketing campaigns.
• Formulate shopper insights from omnichannel and loyalty data, leading into trend identification and audience segmentation.
• Create reports and dashboards where necessary to track key performance indicators (KPIs) and provide insights to decision-makers.
• Monitor overall shopper marketing performance to provide actionable insights.