data analyst (3865)

Are you excited about using advanced analytics to unlock real value from retail customer data? You’ll turn raw signals and trends into actionable insights that power smarter decisions, better experiences, and measurable ROI.

Your day to day will include:

• Applying robust business logic to analyze customer behavior and performance trends, identifying opportunities, risks, and growth drivers

• Performing in‑depth analysis on strategic topics (e.g., segmentation) and implementing ML/AI algorithms where applicable

• Translating complex data into clear, actionable insights that support business decision‑making and recommending actions with measurable impact

• Conducting regular and ad hoc analyses on CRM, Loyalty, and Commercial activations and delivering insights on customer engagement and value contribution

• Developing and maintaining evaluation dashboards and reports (e.g., Power BI, Tableau, GA) by integrating multiple data sources

• Implementing strong data validation procedures to ensure accuracy, consistency, and reliability of analytical outputs

• Delivering presentations upon management request, providing analysis of complex datasets, commercial insights, and actionable plans

• Designing, calculating, and maintaining customer‑centric KPIs and performance frameworks to evaluate initiative outcomes

• Collaborating closely with internal teams (e.g., CRM, Loyalty, MUs, Sales, Finance, BI) to assess their analytical needs and translate them into actionable insights

• Partnering with Tech teams to define data engineering and BI requirements (e.g., data marts, customer 360° views, validation standards)

What you need to succeed: 

• BSc in Statistics, Mathematics, Engineering, Computer Science or Analytics; MSc in a relevant field is a plus

• Experience in data mining and big data analysis within complex environments

• Strong SQL skills and hands‑on experience with analytical tools (Python, R, SAS, SPSS Modeler)

• Solid understanding of statistical models and advanced analytical techniques

• Proficiency in data visualization tools (Power BI, Tableau)

• Strong analytical thinking, business acumen, and problem‑solving mindset

• Proficient MS Office knowledge

• Excellent command of English (written & spoken)

What’s in it for you?

• An award-winning working environment 🚀

• Competitive salary package and bonus scheme 💸

• Health insurance coverage & Pension Plan 🙏

• State of the art facilities including gym & restaurant 🏢

• Hybrid working model 💻

• Continuous learning with classroom/digital trainings by Allwyn Academy 🎓

• Internal Career Opportunities 💼

• Volunteering opportunities, including 2 extra days off to give back🌱

• Well-Being activities 💪

• Monthly food allowance 🍴

• Exclusive employee discounts across a range of partners 🛍️