Alshaya

1.Team Mission and Culture:

The Customer & Technology - Analytics team is at the forefront of Alshaya’s data-driven evolution. Our mission is to unlock insights that drive exceptional customer experience and business growth. Alshaya’s scaled retail enterprise values curiosity, impact, ownership, and continuous learning. 

2. Role Overview and Responsibilities 

We are hiring a Data Insights Manager reporting to the Senior Manager of Data Analytics. This is an enterprise-wide, strategic and hands-on role that combines technical expertise, commercial thinking, and storytelling to shape decisions across the business. 

2A: The Manager will: 

• Provide objective, effective analysis and recommendations for Group Performance / Loyalty Initiatives (Aura Program) across all Divisions in the business.  
• Utilize data and analytics to find opportunities, extract insights, and provide recommendations to various stakeholders and cross-functional Teams. 
• Analyze and deep-dive into various aspects of loyalty and analytics, including loyalty offer analysis, customer segmentation, performance measurements, A/B testing, and analytics reporting.    
• Leverage transactional and behavioral data to uncover opportunities, shape loyalty strategies, and optimize customer value. 
• Track, measure, and analyze key growth metrics on a periodic basis to understand trends and facilitate data-driven decision making.

2B: Key Stakeholders:  

• Adds direct value to: Brand Marketing Leaders, Business Directors, E-Commerce Team, Loyalty Team, and Customer Market Knowledge Team 
• Works with: Data & Analytics community (Data Engineers, Data Analysts, Data Scientists etc.), Brand Marketing Managers, Loyalty Team.

 3. Job Requirements: 

3A. Experience: 

• 2-5 years of related work experience in an analytical role with quantitative analysis. Experience ideally in Retail or the CPG industry, with a background in Business, Finance, Computer Science, or Data Science would be an asset. 
• Solid understanding of customer segmentation, analytical frameworks, performance measurement, and Loyalty program analysis 
• Ability to synthesize large amounts of data into insights. Has strong analytical knowledge and problem solving approach 
• Demonstrated strong business sense and passion for the Loyalty Member experience 
• Excellent communication skills and the ability to story-tell effectively using data  
• Comfortable working in a professional environment and interacting with multiple levels within the organization 

3B: Key Skills Requirements: 

• Business Analysis: Utilizing data & analytics to identify opportunities and provide business recommendations that help boost Brand, Division, or Loyalty program performance, and help guide strategic initiatives.
• Technical Skills: Highly competent in SQL, Python, PowerBI, Excel, and PowerPoint.
• Soft Skills: Ability to collaborate with multiple cross-functional Teams in the business. Excellent communication skills and the ability to story-tell effectively using data. 

3C. Technical Knowledge: 

• Highly competent in SQL, Python, PowerBI. Familiarity with Databricks is an asset  
• Comfortable manipulating large data sets in Excel 
• Proficient in PowerPoint presentations 
• Experience in using and building complex multi-tiered dashboards is an asset 
• Knowledge of Machine Learning is an asset 

3D: Behaviour: 

• Commitment to continuous self-learning & skills improvement  
• Ability to deliver efficiently within timelines and competing priorities   
• Willingness to collaborate with various cross-functional Teams  
• A customer-first mentality combined with an analytical mindset