Help & Supportcareers@gravityer.com
Data Analyst with 10+ years in credit operations, reporting, and data-driven decision-making.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Financial services professional with 10+ years of experience in credit operations, reporting, and data-driven decision-making. Skilled in SQL Server, Power BI, Python, ETL processes, and dashboard development, with a proven track record of automating workflows and improving operational efficiency by up to 40%. Currently transitioning into a Data Analyst role by leveraging strong analytical expertise, business intelligence capabilities, and hands-on experience in data pipeline development and reporting automation.
Budi Luhur University
Bachelor of Computer Science · Computer Science
August 1, 2006 – June 30, 2010
PT Moladin Finance
Credit Analyst (Data & Reporting Support)
March 1, 2023 – July 1, 2024
India
PT Procar International Finance
MIS Staff (IT & Reporting Support)
February 1, 2015 – February 1, 2023
India
PT MNC Sky Vision INDOVISION
Broadcast Development Staff
March 1, 2011 – March 1, 2014
India
Customer Data Integration & Cleansing Pipeline (Advanced SQL)
June 1, 2023 – Present
Designed a customer data integration process using SQL Server to consolidate data from three different system environments, improving data consistency and quality. Developed SQL queries and Common Table Expressions (CTEs) to eliminate duplicate records, standardize customer information, and enhance data accuracy. Reduced weekly manual data processing time from 5–6 hours to less than 1 minute through automated data cleansing processes.
Marketing Campaign Performance Analysis (SQL Server)
June 1, 2023 – Present
Analyzed marketing campaign effectiveness using aggregation functions, JOINs, and subqueries in SQL Server to evaluate marketing spend efficiency. Identified top-performing channels and campaigns based on ROAS, conversion rate, and click-through rate metrics. Provided budget allocation recommendations to improve campaign effectiveness and profitability.
Credit Risk Profiling & Customer Segmentation (Python)
June 1, 2023 – Present
Conducted exploratory data analysis (EDA) on historical loan data to identify factors influencing default risk. Built a classification model using Python to segment customers by risk level, achieving 67% recall and an AUC score of 0.75. Developed portfolio management recommendations based on model outputs and historical default scenarios.
Ai Skills Fest
Microsoft
June 1, 2026 – Present
SQL Course
Ngulik Data
May 1, 2026 – Present
Data Analyst Bootcamp
DQLab
August 1, 2025 – Present
SQL Course
Nexgen
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from data integration to marketing analysis and credit risk profiling, shows adaptability and a broad interest in data applications. Their experience in financial services aligns well with roles requiring robust data analysis for business decision-making. The continuous pursuit of certifications (SQL, Data Analyst Bootcamp, AI Skills Fest) indicates a proactive learning attitude and commitment to professional development, which is a positive cultural fit for growth-oriented environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through identifying operational bottlenecks and automating processes. Their experience in stakeholder reporting and cross-functional collaboration indicates good communication and teamwork abilities. The focus on data accuracy and validation suggests a detail-oriented and responsible approach to data management.