We are looking for a tech-and-business savvy Data Manager to guide our data team to build innovative and high-business-value data services across our operating countries. You will be leading our data team to create data-informed solutions for our products and business, such as user retention, marketplace optimization & monitoring as well as improve our data pipeline & warehouses and provide day-to-day analytics services to serve business and product needs.

Your Delivery:

• lead, manage and coach a team of people in data analystics.
• collaborate with regional and headquarter teams to understand their business requirements and help them leverage data to solve their problems
• promote the state of the art data methodologies to our company and advance our data capabilities
• communicate the value of the data team's work to management and other teams and explain technical concepts to them in a non-technical way
• provide thought leadership in deriving actionable insights from data
• plan and prioritize data projects as well as create data strategies and road-maps to realize business goals and maximize ROI
• guide team on building/implementing models & algorithms and design experiments to create data-driven product & services and estimate/evaluate/track their impact on business performance
• review data analysis to offer actionable insight and business & product intelligence
• lead team to improve data quality, availability, and integration
• support and train colleagues from different business units with basic data exploration skills

Our Request:

• 5+ years of relevant experience in data analytics
• 2+ years of data team management experience
• proven track record in leveraging data analytics & science to solve business problems and steer business decisions
• commercial experience in making data-driven models & algorithms and applying machine/statistical learning methods
• practical skills in designing, conducting and evaluating data-driven experiments for operations, products and/or campaigns
• broad knowledge of data technologies, e.g. Python, Spark, SQL, AWS stack, Kafka, Kinesis, ETL, ELK
• proficiency in statistical analysis, prescriptive analytics, A/B testing and time-series analysis
• preferably a background in logistics
• impeccable communication skills
• fluent English
• business and commercial mindset
• the person to be passionate in delivering happiness to both internal and external stakeholders
• hunger for continuous learning and growth
• the person to be hands-on, self-motivated and proactively looking for ways to improve and get things done
• patience and ability to work with stakeholders of different levels and backgrounds

Note to partner:

• you can bring your aspirations, skills, and talent to help innovate and shape the future with us
• you will be challenged and stretched, but you will also be rewarded. The work is exciting and it comes with a great sense of achievement
• private health insurance
• competitive salary package
• flexible working hours
• work-life balance
• brand new welcome kit
• office gym
• free snacks and fruit