Data Analyst

2 days ago

Durban, KwaZulu-Natal, South Africa RCL FOODS Full time

Closing Date 2025/11/02

Reference Number RCL

Company RCL Foods

Job Title Data Analyst (Digital Sales)

Functions Customer

Job Type Classification Permanent

Location - Town / City Westville

Location - Province KwaZulu-Natal

Location - Country South Africa

Job Description
RCL FOODS
is a deeply rooted South African food manufacturer that produces some of the country's most-loved brands: Yum Yum peanut butter, Nola mayonnaise, Ouma rusks, and Selati sugar, just to name a few. At the heart of our culture and strategy is our Purpose – WE GROW WHAT MATTERS – which encapsulates our belief in collectively doing that little more to create a positive impact that matters. Visit our website at:

We are on the hunt for a
Data Analyst (Digital Sales)
with a strong focus on data analytics to join our Growth Division. The role will be based in
Durban
and report to the Digital Sales Support Specialist. The purpose of this role is to drive growth of the RCL portfolio at outlet level by leveraging data analytics and insights. This includes using Power BI and other analytical tools to identify opportunities, optimize customer contact strategies, and improve SKU penetration. The role combines outbound sales efforts with data-driven decision-making to support national and regional account compliance and operational focus areas.

Minimum Requirements

  • Matric.
  • Degree or Diploma in Marketing, Sales, Business Analytics, or related field (preferable).
  • 2-4 years of experience in sales or data analytics (food service experience preferred).
  • Power BI proficiency is essential.
  • Intermediate to advanced Excel skills.
  • Experience with CRM tools is advantageous.
  • Strong analytical thinking and ability to translate data into actionable insights.

Duties & Responsibilities
Strategy & Analytics

  • Develop territory strategies using data insights
  • Analyze sales trends, outlet performance, and customer behavior using Power BI dashboards.
  • Identify gaps and opportunities in product and customer engagement.

Customer Relationship Management

  • Use data to segment outlets and prioritize outreach based on performance and potential.
  • Deliver on contact matrix targets using insights to optimize call frequency and content.
  • Build a reputation as a data-driven customer support expert, providing tailored recommendations and reporting to the relevant teams

Marketing & New Product Development

  • Support new product introductions with data-backed targeting and performance tracking. Using the data provided by Channel, Customer marketing to create Innovation reports
  • Use analytics to identify outlets with potential for new SKUs and innovation adoption.

Promotions & Campaigns

  • Activate promotional activities at outlet level, tracking effectiveness via Power BI.
  • Assist in managing POS and sample stock allocation using data to guide decisions.
  • Support trade shows and events with insights on customer preferences and trends.

Market & Customer Insights

  • Conduct regular surveys and audits to gather outlet-level intelligence.
  • Feed insights into national and regional planning to improve product relevance.

Pricing & Competitor Analysis

  • Monitor RCL and competitor pricing across outlets using data tools.
  • Provide pricing insights to support margin and cost-in-use discussions.

Financial Acumen

  • Apply data to support discussions on budgets, margin optimization, and profitability.

Cross-functional Collaboration

  • Work closely with Operations, Channel, Customer, and Marketing teams to ensure data-driven growth strategies are implemented effectively.

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