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Data Analyst - Rewards
Company | Gojek |
Address | Jakarta, Indonesia |
Employment type | FULL_TIME |
Salary | |
Category | Transportasi, Logistik, Rantai Pasokan, dan Penyimpanan |
Expires | 2023-09-08 |
Posted at | 8 months ago |
As part of the Rewards team, this data analyst role holds a pivotal position in shaping the future of customer loyalty within the organization. Being a part of a newly formed and agile team brings exciting prospects for innovation and growth. The primary objective of this team is to design and implement a compelling loyalty program that establishes a strong bond between sellers and buyers. By utilizing data-driven insights and advanced analytical tools, the role aims to create a tailored rewards system that not only enhances customer retention but also enriches the overall shopping experience for both parties involved.
- Create business impact by working on strategic initiatives in GoTo Rewards focussed on analysis and experimentation
- Handle GoTo Rewards Product and Business team in identifying product or business opportunities and support in product delivery such as experimentation
- Automate data extraction by creating denormalized tables or data marts based on business or product requirements
- Deliver insight, analysis using statistical tools, data visualization, and business use case to product and business teams
- Build & maintain ETL/ELT pipelines in BigQuery for a variety of event data sources
- Partner closely with Product Managers and Business teams to help them make decisions
- Build & maintain dashboards for tracking business performance and product adoption
- Comfortable working with guidance and in a team setting
- Understanding of Bigquery SQL, data manipulation, data pipeline job and scheduling, data visualization and Google DataStudio dashboarding
- At least 3 years of experience as Business Intelligence/Data Analyst
- Ability to transform an ambiguous business or product problem into a well-scoped and impactful analysis; able to design simple experiments
- Familiar with Python scripting for statistical analysis and data modeling (machine learning)
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