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E-naslov uspešno verificiran.
Jelly J.
@Kholish78
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0
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Admin, Data Entry and Customer Service
$20 USD/uro
・
Indonesia (11:04 dop.)
・
Pridružen(a) od november 8, 2024
$20 USD/uro
・
I’m a woman who loves to learn. I have any experience in admin, data, entry and customer service. If you need any assist relates with my qualification, don’t hesitate to reach me. Thank you.
Spremembe so bile shranjene
Tukaj ni nobenih ocen!
Izkušnje
Desk Collection
jan., 2023 - jun., 2023
•
4 meseci, 30 dni
PT Bank Mega
jan., 2023 - jun., 2023
•
4 meseci, 30 dni
• Performed first party collections by making at least 200+ calls per day on an automated dialer.
• Negotiated to customers about money management and payment plans.
• Exceeded monthly goal with over Rp. 7.000.000.000 + collected per month
• Summerized and maintained detailed records of customer accounts and payments.
Jakarta, Indonesia
jan., 2023 - jun., 2023
•
4 meseci, 30 dni
Admin Data Entry
sep., 2021 - dec., 2021
•
3 meseci, 1 dan
PT Bank UOB Indonesia
sep., 2021 - dec., 2021
•
3 meseci, 1 dan
• Coordinated with sales team to improve new products of insurance.
• Inserted customer and account data by inputting text based and numerical information from source documents within time limits.
• Managed data in spreadsheets, keep records and reports up to date
• Responded to queries for information and access relevant files.
• Generated reports, about insurance sales every months in excel base and power point presentation.
Jakarta, Indonesia
sep., 2021 - dec., 2021
•
3 meseci, 1 dan
Research Assistant
sep., 2019 - jan., 2020
•
4 meseci, 1 dan
PD BPR Bank Sleman
sep., 2019 - jan., 2020
•
4 meseci, 1 dan
• Conducted literature reviews about frontliners performance (teller, cusomer service and security guard) & aplication of marketing mix and prepared research’s proposal
• Interviewed 100+ Bank Sleman’s customers by face to face.
• Maintained accurate records of interviews, safeguarding the confidentiality of subjects, as necessary.
• Analyzed 100++ data using quantitative method (likert’s scale, validity & reability tests, and average).
Yogyakarta, Indonesia
sep., 2019 - jan., 2020
•
4 meseci, 1 dan
Publikacije
The Analysis of Fundamental Variables and Macro Economic Variables in Predicting Financial Distress
2020
Siti Nur Kholisoh
This publish aims to identify and explain the influence of the fundamental variables and macroeconomic variables in predicting financial distress. The results showed that the variable current ratio, debt to assets ratio, total asset turnover ratio, inflation sesnitivity, exchange rate sensitivity and interest rate sensitivity did not significantly affect the probability of financial distress. While return on equity significantly negative influence on the company’s financial distress.
2020
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