Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. Since its founding in 2009, Tokopedia has been a force that pioneers digital transformation in Indonesia. Consistent in building a bridge to connect millions of people, we have now reached more than 99% of districts and empowered over 12 million of merchants across the archipelago. Our vision is to build a Super Ecosystem where anyone can start and discover anything. To achieve that, we are working hand in hand alongside various strategic partners through our marketplace, logistics, payments, and financial technology businesses, while also providing more than 500,000 payment points across Indonesia, and offering more than 40 digital products that simplify the lives of many. Our team has grown rapidly over the years, as we now have more than 6,000 Nakama spread across several regions; Jakarta, Semarang, and Yogyakarta. With Tokopedia’s 3 DNAs instilled as our core values, we constantly innovate to provide the best experience for our millions of users and contribute to advancing a better Indonesia through technology. In 2021, Tokopedia and Gojek have united to become GoTo by combining e-commerce, on-demand, and financial and payment services. With a mission to empower progress, we continuously create a comprehensive ecosystem for daily life. Let’s find your purpose with us, and join our mission! www.tokopedia.com/careers
Specific Technical Requirements:
Set standardization of analytical framework and reports within the team
Produce data visualization with a strong storytelling element.
Strong data wrangling and data manipulation in R/ Python
Intermediate statistics modelling utilization
Create a statistical summary and inference (hypothesis testing: t-test, ANOVA, etc)
General Requirements:
2+ years of Data analytics experience is a plus
General Job Description:
Become SME (Subject Matter Expert) in terms of Data & Analytics within Business Unit/Cluster
Understand and Analyze Transactional (Order Related), Behavioral (Event Tracking, Client Activity), and Demographic data
Explore Various Datasets to Generate Insights, Conclusions and Recommendations
Produce Rich, Insightful, Meaningful and Beautiful Dashboards for Monitoring, Reporting that Automates Insight Generation
Collaborate and synergize across with other data functions such as Data Engineering, Business Intelligent, Data Tracker, and Data Scientist teams
Strategic Partner for Product (Feature, Functionality), Business (Campaign, Initiatives) and also Technology (Implementation)