
Data Analyst with 3+ years in Data Analysis & Business Intelligence
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Data Analyst with 1+ year of experience driving measurable business impact through data-driven decision-making and cross-functional leadership. Proven track record of increasing sales by 22%, reducing costs by 8%, and achieving 90%+ forecast accuracy. Experienced in leading marketing and analytics initiatives across omni-channel environments. Skilled in SQL, Python, and BI tools (Power BI, Tableau, Looker) to translate data into actionable business strategies.
Dibimbing.id
Data Science dan Data Analyst
N/A – Present
Universitas Nasional
Bachelor of English Language and Literature · English Language and Literature
N/A – June 30, 2021
PT. Busana Aktif Mandiri (LeeVierra)
Lead Data & Marketing Analyst
October 1, 2025 – Present
India
PT Dibimbing Digital Indonesia
Assistant Mentor - Data Scientist, Analyst, Business Intelligence
April 1, 2025 – Present
India
PT. Busana Aktif Mandiri (LeeVierra)
Data Analyst
January 1, 2025 – October 1, 2025
India
PT. Kreasi Nostra Mandiri (Sayurbox)
Customer Experience & Reporting Analyst
February 1, 2022 – April 1, 2024
India
Customer Segmentation (E-Commerce)
June 29, 2026 – Present
Performed RFM analysis and K-Means clustering using Python (Pandas, Scikit-learn) to identify 4 key customer segments. Generated targeted marketing strategies to improve retention and customer lifetime value.
A/B Testing (Marketing Campaign)
June 29, 2026 – Present
Conducted statistical A/B testing (p=0.005), identifying a significant conversion lift, projecting a $1,445.55 revenue increase.
Comprehensive Business Dashboard
June 29, 2026 – Present
Enterprise Performance – cross-channel KPIs (sales, revenue, profitability). Product & Inventory Health – sell-through analysis + overstock/critical stock alerts. Stock Flow Optimization – monitored sales ratios & channel stock flows. Product Allocation – predictive SKU allocation for merchandising.
Customer Churn Prediction
June 29, 2026 – Present
Built predictive models (Logistic Regression, Random Forest), achieving 82% recall in identifying churn risk. Reduced churn risk from 10% to 5.9% through data-driven retention strategies.
Data Science Bootcamp
dibimbing.id
June 1, 2026 – Present
Data Science Completion
Purwadhika
June 1, 2026 – Present
Data Analytics Mini Course
RevoU
June 1, 2026 – Present
LeeVierra Employee of the Year 2025 - Problem Solver Awarding
LeeVierra
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from customer segmentation and churn prediction to A/B testing and comprehensive dashboards, indicates adaptability and a broad interest in applying data across various business functions. Their experience as an Assistant Mentor suggests a collaborative and knowledge-sharing mindset. The progression from Data Analyst to Lead Data & Marketing Analyst at the same company, coupled with multiple certifications, shows a strong drive for continuous learning and career growth, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in leadership, cross-functional collaboration, and data storytelling, as evidenced by their mentor role and leadership position. Their experience in developing KPI systems and providing data-driven recommendations aligns well with operational needs for data-driven decision-making and efficiency improvements. The 'Problem Solver Award' further highlights their operational fit.