Head of Data & Analytics

Giift Management Asia Pte. Ltd. (Giift) is the leading provider of loyalty management solutions worldwide. We are proud to announce Giift has successfully raised $50m investment from Apis Growth Fund II, a private equity fund managed by Apis Partners LLP. With this new funding, we plan on continually achieve ground-breaking success in our innovative & disruptive loyalty technology. We are expanding our resources and are looking to hire talented and passionate people who are ready to be a part an acceleratingly succeeding global company in the Loyalty & Rewards Industry.

Departments: Technology
Job Type: Full Time
Countries/city: Dubai

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  • Drive the strategy and execution of our internal data & analytics platform
  • Understand business requirements to build data infrastructure using big data technologies
  • Work very closely with our IT, Operations, Business and Finance teams to develop our reporting and analytics capabilities.
  • In charge to drive day to day analytical approaches and exploring solutions to problems
  • Involve in the management of the business’s overall analytical needs and opportunities
  • Actively propose and develop innovative solutions to generate business insight from data
  • Participate in identification and resolution of issues and lead efforts toward solutions
  • Utilize scientific methods and statistical learning to produce actionable insights
  • Create new data-driven approaches for purpose of generating business insights through data analytics and information visualization
  • Work closely with management in establishing our data, reporting and analytics OKRs
  • Bachelor Degree in Data Science, Economics, Statistics or Computer Science
  • Has 7 to 10 years of working experience or 5+ years as a data engineer / data scientist
  • Has proven and successful experience in execution of data analytics initiatives, leading to improvement of business’s performance and driving top-line growth
  • Has knowledge with cloud eg. AWS and in-depth expertise in SQL and python required. Candidate who has knowledge in data processing tools such as Spark will be an advantage.
  • Has knowledge and practices of ETL/ELT processes and agile methodologies
  • Has experience working with wide range of data to predict financial metrics for business
  • Experience is machine learning a plus
  • Excellent communication and interpersonal skills

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