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, Robinsons, 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.

Job Title: Data Analytics Executive

Division and Company: Marketing - Retail

Reports to Job title and Work Level: Data Scientist

Location : Dubai

ROLE PURPOSE:

Based in our Dubai Head Office at Festival City and reporting Data Scientist - Marketing, Retail. The objective of the role is to contribute to the Retail Division's Analytics strategy, with a strong focus on delivering data analysis and actionable insights to support all Retail Brands. Assists the Retail Division to drive relevance within the different market. Execute a clear plan for growth and development of Al Futtaim Retail customer base across the different brands, and strengthen the value of the over-arching Analytics strategy

As a Data Analytics Executive, your primary mission will be to apply different techniques to many subject matters within the Retail organization. According to company needs at any given time

Experience required

• Mathematics and/or Statistics or Computer Science Bachelor degree or higher with at least 2-4 years' previous work experience within Insight Analytics space
• Previous experience working as an Analytics expert with a strong business acumen focussed on delivering Customer Analytics / Promotion Optimization / Pricing recommendations - in Retail /CPG space
• Strong understanding of data mining techniques, statistical concepts and predictive modelling. (e.g., neural networks, multi-scalar dimensional models, logistic regression techniques, machine-based learning).
• Experience with Big Data technologies (eg. Hadoop, Cassandra, Hive, or similar…) and large Data Warehouse implementation (Oracle, SAP Hana, or similar…).
• Experience in Reporting architectures (eg. SAS, MicroStrategy, Oracle, SAP BO, Pentaho, Tableau and Cognos, Google Analytics, CoreMatrix, or similar…).
• Experience with predictive analytics tools (eg. SAS, SPSS, MATLAB, or similar…).
• Experience in CRM Modeling, Analytics & Campaign Execution (eg. MS Dynamics, SAS, Unica, Teradata, Oracle, or similar…).
• Maintain a good technical knowledge of analytical and modelling software.
• Working experience as a data analyst with focus on CRM and Customer Analytics.
• Have the ability to communicate across all levels of management.
• Have the ability to prioritize and see the "big picture" as well as small details.
• Expertise with the Microsoft Office suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage for storyboard design and presentation).
• Familiarity with marketing disciplines and particularly CRM to aid understanding and delivery of business objectives.
• Understanding of business financials, ROI & profitability.
• Ability to present complex information in simple terms with clear recommendations based on data insight.
• A good knowledge and relevant experience within an ecommerce environment.
• Ability to work in a fast-paced environment, adapt easily to change and demonstrates flexibility in multi-tasking.

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