The purpose of this role is to turn marketing, customer and commercial data into clear, actionable insight that drives growth, efficiency and better decision-making across the business.
Loyalty, Customer Lifecycle & Segmentation Analytics
Maximise the incremental value of repeat customers and loyalty initiatives.
- Track loyalty member behaviour including sign-ups, engagement, redemption and churn risk
- Quantify incremental spend, visit frequency and retention driven by loyalty
- Maintain RFM and behavioural segmentation frameworks
- Analyse customer lifecycle movement, repeat behaviour and churn drivers
- Evaluate the effectiveness of loyalty mechanics, rewards and promotions
- Support optimisation of tier structures, offers and rewards strategy
- Clearly articulate the ROI and commercial impact of loyalty initiatives
Menu, Pricing & Value Analytics
Enable smarter menu and pricing decisions that drive revenue, margin and customer value.
- Identify high- and low-performing menu items using sales, frequency, customer feedback and promotional response
- Build item-level views of sales, revenue and margin (where available)
- Analyse price sensitivity, promotions and value perception
- Identify hero products, underperformers and optimisation opportunities
- Partner with Brand, Operations and Innovation teams to inform menu and pricing decisions
Customer Voice & Experience Intelligence
Turn customer feedback into clear, prioritised action.
- Build & consolidate VOC, NPS, reviews, complaints and social listening data
- Categorise feedback by key themes (service, food, value, cleanliness, etc.)
- Identify friction points across dine-in, delivery and digital journeys
- Track experience trends over time and by region or store
- Surface the most commercially and reputationally impactful issues to fix
Competitive & Market Intelligence
Help brands stay competitive, relevant and ahead of market shifts.
- Track industry and competitor benchmarks across digital engagement, customer experience and loyalty
- Monitor competitor menus, pricing, promotions and loyalty mechanics
- Track new entrants and delivery-first brands
- Support regional and brand-level competitive assessments
- Identify white-space opportunities and emerging threats
Media, Campaign & ROI Analytics
Ensure marketing investment drives measurable growth, not just awareness.
- Shift marketing measurement from reach and impressions to ROI, incremental sales and traffic impact
- Support campaign planning by using historical performance and forecasted outcomes to shape strategy
- Track and evaluate campaign performance across all channels (paid social, search, display, influencer, programmatic, OOH, radio, etc.)
- Analyse digital media performance and recommend channel investment strategies based on ROI, CPA and conversion metrics
- Link media spend to store traffic, orders or sales where possible
- Establish performance baselines and measure incremental uplift from campaigns
- Support media mix modelling and budget optimisation discussions
- Provide insight for new business cases (e.g. campaigns, launches, gamification features) to guide data-led decision-making
Predictive & Advanced Analytics (as capability allows)
Support forward-looking decisions and smarter experimentation.
- Build basic forecasting, churn and propensity models
- Support A/B testing and experimentation analysis
- Use historical data to inform planning, scenarios and investment trade-offs
Data Quality & Enablement
Ensure trusted, integrated data that enables insight at scale.
- Partner with IT and suppliers to integrate marketing platforms (CDP, CRM, loyalty, POS, media)
- Identify data gaps, inconsistencies and quality issues across customer and marketing data
- Maintain data hygiene by flagging anomalies, duplicates and inconsistencies
- Establish and maintain clear definitions and standards for marketing and customer metrics
Skills & Competencies
- Strong commercial and strategic thinking with solid business acumen and the ability to translate data into compelling stories
- Highly analytical, detail-oriented, with a focus on performance optimisation and impact
- High EQ and collaborative mindset; able to influence and support cross-functional teams
- Strong ownership mindset; proactive, self-directed and solutions-oriented
- Deep understanding of marketing, media, loyalty and customer experience metrics
Technical Skills
- Advanced SQL and experience working with large, complex datasets
- Expert-level data visualisation using Power BI, Tableau or Looker
- Python or R for analysis, automation and advanced analytics
- Experience with predictive modelling, segmentation and experimentation
- Comfortable working with unstructured data (e.g. text, reviews, social data)
Advantageous
- Knowledge of restaurant or food industry data and trends
- Experience in campaign attribution and loyalty programme evaluation
- Familiarity with first-party data enrichment and data integration strategies
Experience & Qualifications
- Degree in Marketing Analytics, Statistics, Data Science or a related field
- 4–6 years’ experience in marketing analytics, or data roles
- Proficiency in SQL, Google Analytics 4, Google Tag Manager and data visualisation tools
- Experience working with customer, media and campaign datasets at scale
- Experience with marketing automation platforms (e.g. Braze, Salesforce Marketing Cloud) and CRM/CDP tools
- Strong understanding of digital media analytics (Meta, Google Ads, programmatic channels)
- Experience in retail, hospitality or consumer brands preferred
- Proven track record of influencing commercial decisions through data and insight
Corporation – general requirements
- Strict adherence to company philosophy/mission statement/sales goals
- Carrying out any reasonable request or instruction made by your line manager or any other employee senior to yourself.Discuss with your line manager so as to ensure you understand who is senior to you
- Assisting in any official company function or business as may be required from time to time irrespective of the day or time or venue at which such function or business takes place, provided such request is reasonable
- Attending all meetings and training programmes, irrespective of the time and day, which you may be instructed to be present at, provided such request is reasonable
- Projecting a hospitable, respectful, polite, friendly and warm attitude to all employees and customers
- Maintaining good communication skills with fellow employees, management, stakeholders and customers at all times.
- Displaying a strong “team-player” approach, showing patience and respect for fellow members of staff.
- Reporting expeditiously all complaints, compliments, accidents, fire, theft, loss, damage and any other irregularities to your line manager
- Always maintaining high standards of general cleanliness, hygiene and safety in accordance with Spur Corporation’s standards and other requirements as detailed in the HR Manual.
- Utilizing Spur Corporation property and equipment in an appropriate manner in order to maintain both their usefulness and value.
