Data Analyst

at  AlFuttaim

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world’s most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day

REQUIRED SKILLS TO BE SUCCESSFUL:

• Python Programming.
• Experience in using Databricks platform.
• Experience in building Supervised and unsupervised Machine Learning Models.7-8 Years of experience Or 5-6 + Masters Degree.

OVERVIEW OF THE ROLE:

Acceleration of automotive division’s strategy of being a data driven organisation and feeding advanced analytics models to CRM, Brand, marketing and Digital teams.

WHAT YOU WILL DO:

• Work independently on all phases of an analytics project, including formulation, research, development, implementation, testing, and maintenance.
• Designing new means of communication of descriptive and predictive modelling results through data visualizations, dashboards, apps.
• Hands-on programming skills and ability to utilize a variety of data, analytics software, coding languages, and statistical tools. Deep experience with at least one of Python, PySpark, Scala or R, and SQL (mandatory).
• Expected to develop, use and deploy statistical models such as: Generalized linear models, time series models, forecasting techniques, cluster analysis, anomaly detection, descriptive statistical techniques, statistical diagnostic techniques (e.g., significance testing, model fit, etc.)
• Create supervised and unsupervised models, including decision trees, KNN models, and neural nets; and standard ML libraries.

WHAT EQUIPS YOU FOR THE ROLE:

• BS in Statistics, Computer Science or other related field
• 6-8 years of experience working in the Data Science or Machine Learning Engineering space with hands-on experience in building and deploying advanced analytics models on cloud platforms. Proven skills in various programming and database languages, such as Python, PySpark, SQL. Familiarity with consumer related data and a general interest in the retail, consumer products manufacturing, automotive, transportation, or hospitality sectors
• Experience working on data science projects in a business or academic setting
• Demonstrated capability building accurate predictive and other statistical models
• Strong knowledge of statistics
• Advanced Python programming
• Demonstrated business and strategy acumen