Turning marketing data into growth signal.

Data-driven decisions.
I analyze campaigns, design promo frameworks, and build dashboards that translate complex marketing data into clear, actionable strategy for fintech growth teams.
Data Analyst - Marketing

Reynanda Arya Putra

Translating complex campaign metrics into strategies that drive measurable, sustainable growth.

12
If you can measure it, I can optimize it.
About

Data-driven decisions for growth teams.

I work at the intersection of marketing and analytics, building dashboards and promo frameworks that help teams understand what's actually moving the needle.

My toolkit spans Power BI, Tableau, SQL, Python, and Google Sheets - whatever gets the insight out fastest.

Power BITableauSQLPythonGoogle SheetsMetabaseCampaign AnalyticsCustomer SegmentationA/B TestingPromo Optimization

Current Role

Promo & Analyst Intern

Komunal (DepositoBPR) - Jakarta

Focus Area

Marketing Campaign Analytics

Promo frameworks, tier structures, anti-gaming logic

Tools

Power BI - Tableau - SQL - Python

Metabase - Google Sheets - Apps Script
Experience

Where data analysis meets marketing impact.

  1. Internship · Fintech · Jakarta, Indonesia

    Designing promotional campaigns and reporting automation that translate marketing activity into measurable deposit growth.

    • Designed and executed promotional campaigns that generated over Rp60B+ in total deposit funding, contributing to the company’s AUM reaching Rp1.82T.
    • Built an automated reporting dashboard using Google Sheets and Apps Script, reducing manual data entry and analysis time by ~70% (from 15-20 min to 5 min per cycle).
    • Led the "Poin Master" campaign strategy that reversed a 3-month declining NUF trend, achieving 143 NUF in April 2026 - a 52% month-over-month increase from March.
    • Developed the "Fresh Fund" campaign framework with 3 targeted depositor segments; currently live with 2 categories generating Rp450M+ in early funding results.
    Google SheetsGoogle Apps ScriptData AnalysisMarketing Campaign ManagementMetabase
Selected Work

Projects that moved metrics.

Each project represents a real business challenge - from designing promo eligibility rules to measuring campaign ROI.

View all projects
SaaS Product - 2026
Catetin — WhatsApp Personal Finance Bot
Full-Stack Development & Automation
Product & Automation Signals
354n8n workflow nodes

Nodes orchestrating the entire conversational experience in production.

6AI agents

LangChain agents on OpenRouter chat models with windowed conversation memory.

12+Integrated services

Supabase, WAHA, Midtrans, Resend, Google Sheets, Upstash, and more.

Challenge
People abandon budgeting apps because logging a transaction takes too many taps, so expenses go unrecorded and the ledger stays incomplete.
Output
WhatsApp
A WhatsApp-first SaaS where users simply chat what they spent or earned, and an AI agent records it into a clean, structured ledger automatically.
Approach
Three connected layers: a Next.js web app, an automated payment-to-activation pipeline, and a 354-node n8n AI engine that does the bookkeeping.
View case study
Personal Project - 2026
Bank Customer Churn Prediction System
Machine Learning
Model & Business Signals
20.4%Overall churn rate

Roughly 1 in 5 customers left the bank.

99.8%Model accuracy

Random Forest performance reported in the project.

GitHubSource files

Notebook, Streamlit app, model artifacts, README, and training script are linked from the source repository.

Challenge
Identify high-risk bank customers early enough for retention teams to intervene before churn happens.
Key Result
99.8%
Reported model accuracy using a Random Forest classifier, with complaint behavior emerging as the dominant risk signal.
Approach
Built an end-to-end Python workflow with EDA, feature engineering, model training, saved preprocessing artifacts, and a Streamlit prediction UI.
View case study
Looker Studio - 2026
Dashboard KOL
Marketing Dashboard
Live Looker Studio Dashboard

Embedded KOL dashboard built in Looker Studio.

Challenge
Centralize KOL campaign monitoring in a dashboard that is easy to review and share.
Output
Live
Looker Studio report embedded directly into the portfolio as an interactive dashboard.
Approach
Use Looker Studio as the reporting layer for campaign performance tracking, with portfolio access through iframe embed.
View case study
Process

How I work.

01

Define the Question

Every project starts with a clear business question. I map stakeholder needs to measurable outcomes before touching any tool.

02

Build the Pipeline

Clean data architecture is non-negotiable. Query structures, eligibility rules, and dashboard schemas that scale.

03

Deliver the Insight

Dashboards are not the deliverable - decisions are. Actionable recommendations with clear effect statements.

Contact

Let's talk data.

Open to freelance analytics, full-time roles, and collaborations in fintech and marketing.

Emailariyapel@gmail.comLinkedInlinkedin.com/in/reynandaaryapGitHubgithub.com/reyaput