Hello, I'm
Andre Hartoyo
A Data Analyst From Indonesia
I’m Data Analyst based in Indonesia, and I’m very passionate and dedicated to my work.

Work as a Team and Have Good Communication

Time Management and Flexibility

Problem Solving and Cricital Thinking
Education
Bachelor of Information System, Pontianak, Tanjungpura University, West Kalimantan, 2024
Cumulative Grade Point Average (CGPA): 3.80 of 4.00
Honors: Cumlaude
Saint Paul Senior High School, Pontianak, West Kalimantan, 2020
Major: Mathematics and Natural Sciences
Hello, My Name is Andre Hartoyo
A passionate data analyst with a strong drive to uncover valuable insights from data. With an educational background in Information Systems from Universitas Tanjungpura and a GPA of 3.80 (Cum Laude), I have experience in processing data using Excel, SQL, and Power BI. Skilled in teamwork, effective communication, time management, adaptability, and problem-solving Let’s collaborate to create innovative, data-driven solutions!
Work Experiences
Previous Work Experiences
February – March 2023
Grade Studio
PT Inti Teknologi Berdikari
Graphic Design, Content Creator, Marketing Intern
February – March 2023
Betukang.id
PT Betukang Sejahtera Indonesia
Marketing Analyst and Research Intern
February – May 2023
Saharaku
Merdeka Belajar – Kampus Merdeka: Entrepreneurship Program
UI / UX Designer
January – August 2024
PT. M-150 Indonesia
Marketing Intern
Present Work Experiences
November 2024 – Now
PT. Clipan Finance Indonesia
Corporate Data Analyst – Staff
Corporate Strategy Department
Dashboard Development (Power BI & SQL):
Developed dashboards from scratch for Sales, Risk, AR Management, and Project Monitoring.
Executed SQL queries, performed data modeling, cleaning, and established table relationships.
Designed contract classifications (Current, OD, NPL, Repo, WO, Paid-off) for risk analysis.
Monitored sales target vs. actual performance across regions, branches, and product channels.
Conducted contract and dealer risk analysis to support management decision-making.
Ad-hoc Reporting & Strategic Analysis:
Produced reports on contract quality, profitability, and branch/regional performance.
Conducted risk analysis based on down payment levels, car brands, customer profiles, and debt ratios.
Provided insights to improve contract quality and mitigate non-performing loans (NPL).
Incentive Validation (Multi-Division):
Verified incentive calculations for Marketing, Risk, Collection, and dealer programs in line with company policies.
Reviewed data accuracy, weightings, and formulas to ensure consistency and compliance.
Supported transparency and fairness in incentive distribution.
Portfolio
My Data Projects
Here are some of the projects and dashboards I developed in my role as a Data Analyst, focusing on business performance monitoring, sales analysis, and data-driven insights.
- All
- Design
- Branding
Certifications
A collection of professional certifications that strengthen my expertise in data analysis, business intelligence, and cloud fundamentals.
- All
- Design
- Branding
Analyst is Life
I Develop Skills Regularly to Keep Me Updated
The tools that I Use Commonly in Analyzing data to generate insight
My Publications
Application of TOPSIS for Determining Employee Salary Increases at Alpha Company
Published in the Journal of Information Technology and Management, Department of Information Technology, Merdeka Malang University, Vol. 8, No. 2 (2022): December 2022. Indexed by DOAJ, SINTA (3) and Google Scholar. Authors: Andre Hartoyo, S.Kom. ; Renny Puspita Sari, S.T., M.T.
Abstract:
Employee salary increases are common and have become a right of employees that must be fulfilled by the company if they do their job well. However, in this matter, it is not easy for companies to determine which employees will receive their salary increases. One of them is the Alpha company which has problems in determining employee salary increases which are still carried out without a calculation process so that there is a gap between employees. Therefore, an effective and fast Decision Support System is needed to determine decisions by applying the TOPSIS method as the basis for calculating the decision results. To assess this system, functional testing has been carried out on the Alpha company and obtained a result of 84.67% showing transparency in determining employee salary increases.
An Analysis M-Paspor Application Service Quality Using Mobile Service Quality And Importance Performance Analysis Method
Published in the Journal of Information Systems, Sriwijaya University, Vol. 16, No. 2 (2024): 31 October 2024. Indexed by DOAJ, SINTA (4) and Google Scholar. Authors: Andre Hartoyo, S.Kom. ; Nurul Mutiah, S.T., M.T. ; Ibnur Rusi, S.Kom., M.M.
Abstract:
The M-Paspor application was a platform used by Indonesian citizens to apply for passports. However, users reported complaints about the application’s slow response times and frequent errors. This study aimed to evaluate the service quality of the M-Paspor application from the user’s perspective using Mobile Service Quality and Importance Performance Analysis methods. Data were collected through questionnaires with a sample of 100 respondents and 25 questions covering 14 dimensions, namely Efficiency, System Availability, Content, Privacy, Fulfillment, Responsiveness, Compensation, Contact, Billing, Satisfaction, Design/Ease of Use, Compatibility of Mobile Service, Tangibles, and Technical Reliability. The results of the study indicated that the average performance level of the M-Paspor application was 3.87, which fell into the “Good” category, while the average importance level was 4.47, categorized as “Very Important.” The average value of the suitability analysis was 86.69%,, indicating that the M-Paspor application had not fully met user expectations. The IPA quadrant analysis showed there were 4 indicators in Quadrant I, which were the main priorities for improvement, namely C1, F2, H1, and J1. A total of 9 indicators were in Quadrant II, whose performance needed to be maintained, namely B1, B2, C2, D1, D2, E1, I1, L1, and M1. Meanwhile, 8 indicators were in Quadrant III as low priorities for improvement, namely A1, A2, A3, F1, G1, G2, I2, and K1. Finally, there were 4 indicators in Quadrant IV that could be disregarded for improvement, namely N1, J2, K2, and L2.
Contact Me
I Want To Hear From You
Address
Jakarta, Indonesia
hartoyoandre01@gmail.com
Phone
+62 852- 3171-5353





