Marketing Data Analyst

Spur Corporation is a growing multi-brand restaurant franchisor, headquartered in Cape Town. The group currently has Ten brands, namely, Spur Steak Ranches, Panarottis Pizza Pasta, John Dory’s Fish Grill Sushi, RocoMamas, The Hussar Grill, Casa Bella, Nikos Coalgrill Greek, Doppio Zero, Modern Tailors and Piza e Vino. In order to retain an exceptional talent pool, the group endeavours to create a great place to work, building a collaborative and innovative performance-based culture which enables each employee to thrive on his or her unique Spur Corporation journey. Spur Corporation’s employees are passionate and purpose-driven people growing great brands. Through their dedicated service and talent, they offer support to the group’s endeavours and operational activities, offering an exceptional return on investment to all its shareholders. A career at Spur Corporation is an opportunity for an employee to nurture, learn, grow, and realise their full potential.

A position has become available in the Marketing Department at the Century City Office, Cape Town for a Marketing Data Analyst.

The Marketing Data Analyst at Spur Corporation, will play a crucial role in driving data-informed decisions across our marketing initiatives. The Marketing Data Analyst's ability to uncover actionable insights from complex datasets will guide our marketing campaigns, customer segmentation, and personalized experiences, ultimately enhancing our customers' culinary journeys.

Qualifications and Experience  Requirements

• Grade 12 / Matric
• Tertiary qualification (Bachelor's degree in Statistics, Mathematics, Data Science, Data analysis, Computer Science) or a related field
• Minimum 2 years of experience with SQL querying (non-negotiable).
• Minimum 2 years of experience in marketing data analytics, preferably in the food industry or a marketing/insights-driven environment.
• Proficiency in a variety of data visualisation and analysis tools, including but not limited to: Google Analytics, Power BI, Tableau, SAS, SPSS, DBeaver, BigQuery, Snowflake (familiarity with multiple tools is a plus).
• Competence in programming languages like Python and R.
• Strong analytical skills with the ability to derive actionable insights from complex marketing datasets.
• Experience in statistical analysis, predictive modelling, and segmentation techniques.
• Familiarity with marketing measurement approaches, such as customer lifetime value and customer engagement metrics.
• Excellent communication and collaboration skills.
• Strong attention to detail and commitment to data quality.
• Experience working in the food industry.
• Working knowledge of Machine Learning applications (e.g., clustering, dimensionality reduction, regression, classification, time-series modelling, neural networks).