Head of Analytics

Vietnam Investments Group is in need of recruiting Head of Analytics for TapTap, which was funded by VIG.
We are a next-generation marketing and payment platform that connects market-leading brands with consumers through a simple-to-use, fully integrated and data-driven coalition loyalty program. Our solution enables consumers to earn and burn loyalty points conveniently by interacting and transacting with the brands of their choices across nation-wide merchant network that today reaches 30% of the Vietnamese consumers.
Our goal is to revolutionize the omni-channel shopping experience in Vietnam and set the standards for how brands should engage their customers by leveraging data to drive consumer insights, marketing efficiency and product personalization. We also offer technology solution to help established businesses enhance their existing loyalty programs with access to a broad, diversified portfolio of brands and rewards.
We are looking for an excellent Head of Analytics to lead the data analytics department and oversees the daily activities of the departments and personnel. In this role, the Head of Analytics ensures that the business in its various departments understands its own health, finds growth levers, and identifies opportunities for optimization. The Head of Analytics leads the business through all efforts that drive business performance and potential by using the existent and new data sources and techniques (e.g. prescriptive and predictive analyses, machine learning, etc.)
Leadership Role:
• Play a first and foremost leader and founder within the department overseeing all activities of the data analytics and data warehousing departments;
• Lead the recruitment and development of the team;
• Lead initiatives to improve performance across the business, such as: personalizing user experience on loyalty mobile app, optimizing analytics efficiency and cost, and optimizing individual department optimization.
Strategy:
• Lead the data analytics and data warehousing departments in strategy development with regard to the collection, manipulation, and analysis of data for various business functions/departments such as marketing, sales, operations, among others;
• Endeavors to create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner.
Analytics:
• Develop and apply analytical algorithms and methods where possible with a view of driving and enhancing data systems and streamlining business processes;
• Strive to improve the quality of analytics solutions on a consistent basis;
• Lead the analytics and warehousing departments in the creation of high quality analyses for all functions of the business and in the definition of metrics that track the business’s performance at different fronts;
• Validate, interpret, and create reports and presentations for senior data analytics management,
departmental heads/management, and relevant stakeholders.
Collaboration:
• Facilitate joint brainstorming and team collaboration;
• Work closely with senior data scientists and data analytics management in establishing departmental goals and strategies;
• Work with junior data analytics and data warehouse personnel in defining the data collection needs of the business for the purpose of future work and also for guaranteeing that there is high data quality and reliability across the business;
• Collaborate with numerous departments across the business, aiding them in the proper use of data, hence, ensuring the delivery of desired operational results, including but not limited to: working with CTO to set up data analysis and modeling infrastructure, architecture & tools; working with CMO and business analysis team to interpret trends, insights & develop offers and campaigns.

• Bachelor’s degree or above in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math, Business Administration, or any other related field;
• At least 5 years of working experience in a data scientist, data analyst or data warehousing position, preferably in a fast-paced and complex business setting;
• Experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business’s performance and driving top-line growth;
• Strong Leadership skills;
• Vast experience working with a wide range of data in order to predict financial metrics for a business;
• Experience in building and leading quantitative analyses as well experience building response and risk models for a business;
• Excellent communication skills in both written and verbal both in English and Vietnamese;
• Excellent computer skills and be highly proficient in the use of Ms Word, Ms Excel, PowerPoint;
• Highly skilled in the use of SQL, being able to draw complex queries that ultimately lead to improvements in business performance;
• Highly proficient in the workings of data technologies such as Hadoop, Teradata, and so forth.

- Under company's policy

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