Business Intelligence Lead

tiket.com
Daerah Khusus Ibukota Jakarta
IDR 200,000,000 - 300,000,000
Job description

We think you also hate when travel apps give 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.


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 intelligence
  • At least 1 year of experience in leading a data analytics and business intelligence team
  • 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
  • Strong knowledge of ETL tools and Data Warehouse (e.g. Airflow, BigQuery)
  • Expert in SQL and strong experience with 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 programming 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.

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