tiket.com
Associate Business Intelligence
Job Description
We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip.That is exactly what we are tackling as t-fam! Making sure that our 17+ million users have the best experience in crafting their own adventure.
BI typically handles analysis and data modelling design using data collected in a centralised data warehouse or multiple databases throughout the organisation. It’s a role that combines hard skills like programming, data modelling and statistics with soft skills like communication, analytical thinking and problem-solving. Candidates need a well-rounded background to balance the line between technology and the business.
BI typically handles analysis and data modelling design using data collected in a centralised data warehouse or multiple databases throughout the organisation. It’s a role that combines hard skills like programming, data modelling and statistics with soft skills like communication, analytical thinking and problem-solving. Candidates need a well-rounded background to balance the line between technology and the business.
Your main duties in flying with us:
- Review and validate data
- Gather end user reporting and dashboard requirements
- Deliver analysis, insights, reporting, data marts, and tools to support the business team
- Explore various datasets to generate insights, conclusions and recommendations
- Build & maintain data mart and dashboards for tracking business OKR and initiatives
- Identify product or business opportunities and support growth with experimentations and recommendations
Mandatory belongings that you must prepare:
- Fresh Graduates from Computer Science, Mathematics, Statistics or equivalent
- Excellent interpersonal, communication, listening and presentation skills
- The ability to work both as a team and independently
- Excellent problem solving and analytical skills
- Ability to manage and prioritize daily tasks while being goal-oriented
- Practical knowledge in SQL and Data Visualization and Reporting tools (e.g. Tableau, Google Data Studio)
- Good understanding in statistical summary and inference (hypothesis testing: t-test, ANOVA, etc)
- Practical knowledge of programing languages (e.g. Python, Shell) and Python/R for statistical analysis
In the event that you haven’t received any updates after 3 weeks, your data will be kept and we may contact you for another career destination. Meanwhile, discover more about tiket.com on Instagram, LinkedIn, or YouTube.
