Tiket.com sedang merekrut seorang
Sr Business Intelligence
Loker ini dibuat lebih dari 2 bulan yang lalu
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.
#LI-Hybrid
BI typically handles analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization. It’s a role that combines hard skills like programming, data modeling 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.
Job Descriptions
- Analyze the structure of a business, how it uses technology, what its goals and pain points are that can be improved through BI tools
- Collect, analyze, and share data to help business teams drive improvement in key business metrics, customer experience, and business results
- Utilize database and web application technologies to design and evaluate innovative business intelligence tools and automated reports
- Design, develop, and test BI solutions such as databases, data warehouses, queries, views, reports, and dashboards
- Perform data conversions, imports, and exports of data within and between internal and external software systems
- Enhance the performance of business intelligence tools by defining data to filter and indexes
- Design and deliver end-user training and training materials
- Train users to transform data into action-oriented information and to use that information correctly
- Document new and existing models, solutions, and implementations
Requirements
- At the minimum have 4 years of experience as a Business Intelligence
- Experience working with one or more language for querying (e.g. SQL)
- Familiar with advanced analytics languages like Python is a plus
- Experience working with multiple stakeholders across various divisions
- Ability to make inferences from data and devise an appropriate course of actions
- Comfortable working with large data sets and numbers
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