Agoda
Senior Analyst, App Marketing (Bangkok Based, Relocation Provided)
Bangkok. Posted 44 months ago
The role
The Senior Analyst will experiment with and optimize campaign performance across various search engines. They will develop predictive models using data science techniques and build dashboards to track performance and communicate insights.
What you will do
- Experiment with ads, campaign structures, and bidding and pricing strategies on partners like Google, Bing, TripAdvisor, and Trivago
- Adapt to new product features and roll out changes from successful tests
- Analyze vast amounts of data generated by experiments
- Develop predictive models using data science techniques
- Liaise with product teams on an implementation roadmap
- Build dashboards to track performance
- Derive insights and understand growth levers
- Communicate recommendations via presentations to stakeholders
Required qualifications
- Bachelor’s degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study
- 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company
- Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA
- Experience in visualization tools, e.g. Tableau, Power BI, etc.
- Excellent verbal and written communication skills in English
- Ability to move fast and be efficient, making decisions on objective data evidence
- Innate desire to take ownership, make an impact and influence outcomes
- Excellent organizational skills, attention to detail and ability to work independently
Nice to have
- Experience in digital marketing or e-commerce
- Experience with A/B testing and other testing metrics
- Strong presentation and negotiation skills
About the company
Agoda is part of Booking Holdings and connects people to destinations and experiences through hotels, flights, and holiday properties. The company is a data-driven organization with a diverse team of over 7,000 people.