As a Digital Analyst, you will play a crucial role in enhancing KFC Africa's digital presence and performance. Your primary focus will be to convert data into clear, actionable insights that align with the Channel Strategy and Digital & Technology (D+T) strategy. By building trusted dashboards, conducting thorough analyses, and powering experimentation, you will enable squads to make swift and confident decisions that drive adoption, conversion, repeat business, and profitability/ROI. Additionally, you will ensure event and data quality, consistent definitions, and compliance with privacy regulations.

Bachelor's degree in Analytics, Statistics, Computer Science, Information Science, Business, or equivalent practical experience.

4-6+ years of experience in digital/product/marketing analytics for consumer apps/e-commerce.

Proficiency in SQL and BI/visualization tools, with a strong understanding of event analytics platforms (e.g., GA4, Adobe, Amplitude).

Experience in A/B testing/experimentation, including design, power analysis, and incrementality concepts.

Familiarity with privacy and consent regulations (POPIA/GDPR) and data governance practices.

Excellent communication skills to simplify complex data insights for non-analysts.

Ability to collaborate effectively with cross-functional teams, including channel squads, vendors, and markets.

Experience with forecasting and scenario planning, projecting orders/revenue, and assessing sensitivity to price/fees.

Understanding of multi-market comparability and the ability to normalize definitions across different markets.

Willingness to enhance and create new analytics practices, automate reporting pipelines, and pilot improved behavioral analytics.

Develop self-serve dashboards and scorecards for squads and leadership, covering funnel, cohort, channel, campaign, and market views with standardized definitions.

Conduct deep-dive analyses and create insight packs to quantify opportunities (conversion, AOV, frequency, retention) and recommend prioritized actions.

Produce experiment read-outs with well-designed experiments, power checks, and incrementality/causality assessments; capture decision logs.

Maintain event and data quality by implementing a taxonomy, definitions, and alerts to ensure accurate, timely, and privacy-compliant tracking.

Provide forecasts and scenarios to inform roadmaps, promotional planning, and capacity decisions.

Analyze funnel and journey analytics to identify drops and estimate their value, recommending fixes to improve the customer journey.

Perform customer behavior analysis, building cohorts, RFM, pathing, and segmentation to uncover activation/retention drivers and churn risks.

Interpret attribution and incrementality data, distinguishing correlation from causation to make informed decisions.

Quantify the impact of offers and pricing on margin %, contribution profit, cannibalization, and frequency, flagging potential issues.

Monitor data quality and identity, detecting tracking gaps, duplicates, and schema drift, and maintaining a consistent taxonomy.