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
Responsibilities:
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
Requirements:
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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