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Data Scientist

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Date: 13-Mar-2019

Location: Dubai, AE

Company: Al Futtaim Private Company LLC

Job Requisition ID: 35504 

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.

Data Scientist | Retail | Dubai

 

ROLE PURPOSE:

 

Based in our Dubai Head Office at Festival City and reporting to the Head of Analytics. The objective of the role is to contribute to the retail divisions Analytics strategy with a strong focus on delivering insights for retail brands. Your role would be to farm out customer insights by analysing & segmenting data. Formulate campaigns to drive incremental revenue and build the everlasting connect with our customers through personalization. Assists the Retail Division in the development and implementation of campaigns 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 value of the over-arching Analytics strategy

 

Job Description

As a Data Scientist within Retail Analytics team the role holder will be responsible for select countries/brands to support the overall analytics strategy.

1.He/ She will provide consultative approach, including advisory recommendations to support proposed analytics solutions & possess technical aptitude to solve complex big data business problems.

2. Role holder needs to apply data analysis & statistical techniques to large data-sets related to our member behaviours in conjunction with transactional and other interaction data to analyse and interpret actionable insights to drive business results.

3.Review customer data for trends, patterns, and casual analysis to assist Brands in understanding customer’s activity.

4. Review customer data for trends, patterns and causal analysis to assist brands and divisions in understanding customer behaviour cross brand and category.

5.Perform profiling, exploratory and deep dive analysis on brand’s customer and transaction data to determine quality and usefulness of available information.

6.Build new predictive models and establish methods of evaluating models to identify when they will need to be redeveloped.

 

 

Experience Required

 

  • Mathematics and/or Statistics or Computer Science /Business Management degree or higher with at least 5  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/consulting 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, Micro-Strategy, 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 Modelling, 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 Customer & Marketing Analytics.
  • Have the ability to communicate across all levels of management.
  • Possess the ability to work well independently and in teams.
  • 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 /Loyalty 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 Retail space offline /online
  • Ability to work in a fast-paced environment, adapt easily to change and demonstrates flexibility in multi-tasking.
  • Problem solver with a can-do attitude.
  • Strong customer focus mentality

 


REF - DS/13-03-19

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