Data Analyst (Talent Pool)
On-siteJakarta, Jakarta, Indonesia
Job Summary
Collaborate with stakeholders to solve problems by providing analysis that measures the impact of new features, business flows, and campaigns. Create and manage automated reports, dashboards, and data marts to ensure stakeholders consume correct and latest data while maintaining data quality through collaboration with data engineers. Tailor complex messages into simplified, business-applicable material to support data-based decisions across various functions. This role requires at least three years of data analyst experience, proficiency in BI tools like Tableau or Power BI, and the ability to operate various data sources including NoSQL and RDBMS. Candidates must possess knowledge of data mining concepts and experience processing core banking data for digital lending. The position involves working with millions of rows of data and staying up-to-date with analytics trends.
Required Qualifications
- Have experience related with data analyst at least 3 years
- Can create user friendly and insightful dashboard/report using one of various BI Tools (Eg : Tableau, Power BI, Google Data Studio, etc)
- Can operate various type of data sources (eg. NoSQL, RDBMS, JSON, etc) to be implemented in analysis & report/dashboard
- Have experience to provide analysis (Descriptive/Diagnostic/Predictive/Prescriptive) with help of analytics tool (Eg : Big Query, Python, R, SPSS, etc)
- Have knowledge of Data Mining concept (Eg : Statistics, Machine Learning, Forecasting, etc)
- Experience to process Core Banking data and fully understand end to end flow process of Digital Lending
- Can explain of own project which he/she worked on using great storytelling skill
- Good intrapersonal skills to collaborate within/across function
- Self driven, high curiosity, problem solving mindset and very detail oriented
Desired Qualifications
- Have experience using Google Big Query & Looker
- Have experience to explore data from 3rd party platform (eg : Web & Mobile Analytics Platform, Marketing Attribution Platform, API logging platform, etc)
- Have best practice to build Data Mart
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