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 50+ 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.
\n Your main duties in flying with us:Oversee analytics projects across the products to ensure that best practices are being leveraged and business questions are answered.Drive analytics projects—spanning across products—that improve efficiency and quality.Mentor analysts to develop their technical and statistics skills.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:At least 5 years of experience in data analytics and business intelligenceAt least 1 years of experience in leading a data analytics and business intelligence teamExcellent interpersonal, communication, listening and presentation skillsThe ability to work both as a team and independentlyExcellent problem solving and analytical skillsAbility to manage and prioritize daily tasks while being goal-orientedStrong knowledge of ETL tools and Data Warehouse (e.g. Airflow, BigQuery)Expert in SQL and strong experience with a 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
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