Customer Data Analytic Specialist

6 months ago


Tangerang, Indonesia PT BFI Finance Indonesia Tbk Full time

Who is PT BFI Finance Indonesia Tbk?

PT BFI Finance Indonesia Tbk was founded in 1982. It is one of the oldest and the most diversified multi finance companies in Indonesia as well as the first multi finance company to be listed on Indonesia Stock Exchange with ticker code BFIN. Currently BFI Finance has over than 300 branches and 9000 employee across the nation.

In 2017, PT BFI Finance Indonesia Tbk built a subsidiary called PT Finansial Integrasi Teknologi (FIT). We believe that technology can facilitate more financial access to Indonesian people. FIT has launched its platform "Pinjam Modal" in October 2018.
Supporting and ensuring BFI Finance's vision "To become a trusted financial partner that contributes to the community's standard of living" through excellent service activities by all lines of employees through service standard training and monitoring the implementation of branch service standards, as well as being involved in branches service process improvement projects and improving the overall service quality of BFI Finance to create satisfaction and a pleasant customer experience.

Controlling the implementation of BFI's research program

Analyze survey results related to business processes and provide recommendations for improvements to the carried out survey process and ongoing business processes

Support the need for data and reports on the results of customer satisfaction surveys and service assessments

Carry out administration in the Service Excellence unit that related to data & systems

Monitor and develop BFI's communication media with consumers

Create and analyze consumer behavior & culture

Designing and developing reports/generate data in the form of a dashboard
At least a Bachelors’s degree in any majors. Fresh Graduate are welcome to apply

Has a year of working experience in a research field

A skilled person in data processing such as data analysis and visual data

Mastering and skilled Python, Microsoft Excel and SQL

Having a good communication and teamwork skills


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