Business Intelligence Analyst
Jakarta
GoTo Group
Kami adalah perusahaan teknologi nomor 1 di Indonesia. GoTo berdedikasi untuk menciptakan dampak sosial berskala besar di manapun kami beroperasi.
About the RoleAs a Business Intelligence Analyst, you will be working with the Business and product team on supporting analytics and data products (automated dashboards, reports, alerts, and simulation tools) which will create business impact at scale! You would be helping GoPay at a level of detail that enables the stakeholders to identify and address critical issues, and aligning deliverables according to the Team’s priorities and requirements.
About the TeamOur team likes to see ourselves as what blood is to the brain - constantly supplying the brain with oxygen so it can function properly. Our super team of 10 BI analysts supplies data and insights that fuel GoPay's innovations and evolutions. How does one achieve this, you may ask? Through our data products (automated dashboards, reports, alerts, and simulation tools) and continuous collaboration with the folks in the business and product teams. We are in charge of creating foundational customer segmentations, designing automation processes for campaign tracking, and providing regular reports to the leadership team. Anything data-related within growth, digital inclusion, or risk and fraud for GoPay is what our team is concerned about✌🏽
We oversee all things to give stakeholders valuable insights in decision making and actively grow to be a word-class team that can be the consultant to the business with complete skill sets in technical and business aspects. It's our job to ensure that GoPay runs seamlessly. One of the biggest challenges we had to face is to make all our works to be fully-automated which can reduce the number of manual work of doing data requests. We eventually resolved it by creating several automation tools and enhancing our workflow and procedures with the help of good project management planning. Currently, we're busy at work on various projects, including one about helping the company to reach its north star metrics by using our data products
But despite how hardworking we may seem, we do know how to have fun, too. As a matter of fact, we select someone from the team to become our ‘Minister of Entertainment’ each month. The honorary person then will decide what fun activities we can do together😋. This is especially an important tradition for us with WFH becoming more normalized. While we do miss our monthly outings/dinners, thank goodness for the invention of Slack and Zoom calls that keep us feeling close.
About the TeamOur team likes to see ourselves as what blood is to the brain - constantly supplying the brain with oxygen so it can function properly. Our super team of 10 BI analysts supplies data and insights that fuel GoPay's innovations and evolutions. How does one achieve this, you may ask? Through our data products (automated dashboards, reports, alerts, and simulation tools) and continuous collaboration with the folks in the business and product teams. We are in charge of creating foundational customer segmentations, designing automation processes for campaign tracking, and providing regular reports to the leadership team. Anything data-related within growth, digital inclusion, or risk and fraud for GoPay is what our team is concerned about✌🏽
We oversee all things to give stakeholders valuable insights in decision making and actively grow to be a word-class team that can be the consultant to the business with complete skill sets in technical and business aspects. It's our job to ensure that GoPay runs seamlessly. One of the biggest challenges we had to face is to make all our works to be fully-automated which can reduce the number of manual work of doing data requests. We eventually resolved it by creating several automation tools and enhancing our workflow and procedures with the help of good project management planning. Currently, we're busy at work on various projects, including one about helping the company to reach its north star metrics by using our data products
But despite how hardworking we may seem, we do know how to have fun, too. As a matter of fact, we select someone from the team to become our ‘Minister of Entertainment’ each month. The honorary person then will decide what fun activities we can do together😋. This is especially an important tradition for us with WFH becoming more normalized. While we do miss our monthly outings/dinners, thank goodness for the invention of Slack and Zoom calls that keep us feeling close.
What You Will Do
- General analysis on each new feature/product that has been released and to be released
- Provide customer and merchant segmentation based on their personas
- Deep analytics on customer behavior to give strategic insights for businesses to make decision
- Event performance analysis (cashback, promos, POI, etc)
- Provide visualizations to track GoPay performance
- Data ETL (Extraction, Transform, and Load)
What You Will Need
- Have at least a Bachelor's degree in computer science/information science, mathematics, statistics, and other related fields
- Should have at least 4 years of experience in the analyst or business intelligence or data science field
- Familiarity with all variants of SQL
- Proficient in ETL (extract, transform, load) is a plus
- Familiarity with Metabase, Tableau, Bigquery, and Python will be a major plus
- Excellent analytical skills topped with strong communication and presentation capabilities in order to share recommendations
- Strong contribution to database design and data architecture, data mining and analytics, data security and privacy, and data visualization
- Ability to work with team members on data science projects
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Analyst Jobs
Big Data Jobs
Tags: Architecture BigQuery Business Intelligence Computer Science Data Mining Data visualization ETL Mathematics Metabase Privacy Python Security SQL Statistics Tableau
Perks/benefits: Career development Team events
Region:
Asia/Pacific
Country:
Indonesia
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