Pricing Analyst - Data Analytics | Al Futtaim Global Aftersales | Dubai

No two days are the same at Al-Futtaim, no matter what role you have. Our work is driven by the desire to make a difference and to have a meaningful impact with the goal of enriching everyday lives. Take our engaging and supportive work environment and couple it with a company culture that recognises and rewards quality performance, and what do you get? The chance to push the limits every single day.

As a humble family business that started on the banks of the Dubai Creek in the 1930s, Al-Futtaim has expanded to a presence in 31 countries, a portfolio of over 200 companies, and 42,000 employees. You’ll find us in industries ranging from automotive and retail, to finance and real estate, and connecting people with international names like Lexus, Ikea, and Adidas. Our team is proudly multicultural and multinational because that kind of diverse representation gives us the global mindset to grow and impact the people, markets, and trends around us.

Come join us to live well, work better, and be the best.

Pricing Analyst - Data Analytics | Al Futtaim Global Aftersales | Dubai

About the Job:

We are looking for an experienced Pricing Analyst who will analyses pricing data and provides analysis reports and KPIs, measures pricing position and comparison with markets to optimum, optimized inventory levels, and cost efficiency that leads to customer-oriented process. You will use a variety of data analysis methods & tools to drive business results with data-based insights converted into an easy to follow visual summary of impacts & approach whilst working with stakeholders to improve business outcomes

Among your key responsibilities as are as follow:

• Illustrations and visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences, communicating statistical modelling results as measures of the business’s impact
• Create high level presentations providing senior management level summaries of current actions and future proposals.
• Use of statistical analysis and data visualization techniques, to create solutions that enable enhanced business performance
• Utilize data science (MS Azure, ML Studio, R, Phyton) and data engineering (Alteryz, SQL) to improve efficiencies, improve cost and increase profit margins
• Use large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action
• Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings
• Prepare reports and presentations for relevant stakeholders that will give insights for decision making
• Identify relevant pricing data sources and sets to mine, collect large structured and unstructured pricing datasets and variables
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Analyze data for trends and patterns, and Interpret data with a clear objective in mind
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Devise reporting which presents results in a clear manner
• Create automated anomaly detection systems and constant tracking of its performance

About You:

To be successful for the role you must have the following skills and qualifications:

• Bachelor’s Degree (MBA Preferred) with demonstrated experience in any of the following: - Business Administration, Economics, Mathematics, Information Technology & Finance
• Minimum 5 years’ work experience in a multinational environment
• 2+ years of hands-on work experience using analytical tools (e.g., R, Python) to solve real world problems preferably knowledge on pricing analytics
• Distributor and OEM experience is an advantage
• •Commercially minded is critical, required to think in the shoes of a customer and how your decisions could impact them
• Exceptional communication skills, especially around translating technical knowledge into forms that can be digested by leadership and non-technical project teams
• •Strong MS packages knowledge with excellent PowerPoint skills is a must
• •Knowledge of advanced PowerPoint software such as ThinkCell would be an advantage
• Excellent Strong analytical and problem-solving skills
• Highly adaptable with meticulous attention to detail
• Excellent organizational abilities
• Experience programming (beyond simple scripts) in a modern scientific language would be beneficial but not essential (e.g., Python, Matlab, R)
• Working knowledge and experience of using Tableau is essential

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