Open to new opportunities

Meikelwis
Wijaya

Analytics Engineer & BI Professional

7+ years transforming raw data into reliable infrastructure and actionable insights — across fintech, e-commerce, and retail. Specializing in data warehousing, ETL pipelines, and BI solutions that scale.

get_in_touch() view_work()
7+
Years in data
5M+
Users served
30%
Cost reduction
5
Companies
About

Building data infrastructure that teams can trust.

I'm an Analytics Engineer and BI professional specializing in translating raw data into reliable, scalable systems. My work spans fintech, e-commerce, and retail — building data warehouses, defining company-wide metrics, and delivering executive dashboards from the ground up.

Currently at CloudMile — a leading Google Cloud partner — designing Snowflake and dbt infrastructure that empowers non-technical stakeholders to make data-driven decisions independently.

Graduated with the Master's in Accounting Data Analytics at Universitas Indonesia, expanding into data architecture, product management, and AI applications.

Role
Analytics Engineer — CloudMile
Location
Indonesia
Education
M.S. Accounting Data Analytics · Universitas Indonesia
Focus
Analytics Eng · BI · Data Modeling · ETL · dbt · Snowflake
LinkedIn
linkedin.com/in/meikelwis-wijaya
Stack

Tech Stack

Tools and technologies across the full analytics engineering workflow.

// data & analytics
  • BigQuery
  • PostgreSQL & MySQL
  • Python (Pandas, Django)
  • Google Analytics
  • Amplitude · CleverTap
  • ETL Pipeline Design
  • Data Modeling
  • Data Warehousing
// bi & visualization
  • Tableau
  • Looker
  • Apache Superset
  • Domo & Metabase
  • Google Data Studio
  • Redash
  • Excel (MOS Expert)
  • Dashboard Design
  • KPI Frameworks
// platforms & tools
  • Dbt (data build tool)
  • Snowflake
  • Composer
  • Dataform
  • Google Cloud Platform
  • Git Version Control
  • Celery & Redis
  • MoEngage · Appsflyer
  • Google Tag Manager
Experience

Work History

Seven years across fintech, e-commerce, retail, and cloud consulting.

2025 — Present
CloudMile
Analytics Engineer
Snowflakedbt BigQueryLooker GCPComposerPython
  • Design and implement clean Snowflake data models using dbt, enabling analysts and stakeholders to query data without deep technical knowledge.
  • Develop comprehensive test suites — dbt tests, SQL assertions, pipeline monitoring — ensuring data reliability before stakeholder consumption.
  • Build and maintain Composer pipelines with emphasis on optimization, error handling, and documentation.
  • Deliver enterprise BI solutions for clients on the Google Cloud data stack as part of a leading GCP partner.
2023 — 2025
Nanovest
Business Intelligence
BigQueryPostgreSQL TableauSuperset LookerMoEngage
  • Deliver data-informed insights across a multi-asset investment platform covering crypto, wallet, stocks, and gold for 5M+ users.
  • Analyze product performance, financial outcomes, and marketing effectiveness to drive business growth.
  • Monitor key metrics — DAU/MAU, trading volumes, revenue, and user acquisition — and maintain dashboards for product health, revenue trends, and campaign performance.
  • Standardize metrics definitions and reporting frameworks across the BI Analytics team.
  • Contribute data-driven recommendations to product, finance, and marketing teams for strategic decisions.
2022 — 2023
Ula
Business Intelligence Analyst
DomoCleverTap BigQueryPostgreSQLAppsflyer
  • Structured and developed company-wide metrics in Domo used by the entire Tech organization — Retailer, Sales, and Logistics apps. Metrics include user behaviour, active users, revenue, retention, DAU, WAU, and MAU.
  • Analyzed event and data point usage costs for CleverTap, successfully reducing consumption by 30% — saving significant costs across Product, Growth, and Marketing.
  • Established and standardized the weekly tech business review to monitor collaboration between Product, Engineering, and Technology teams using aligned metrics.
2021 — 2022
Dekoruma
Business Intelligence Analyst
RedashBigQuery PostgreSQLAmplitude
  • Developed the right metrics and KPIs for Business Owners, Commercial Teams, and Customer Service in the Property Business Unit.
  • Created daily, weekly, and monthly reports used for recurring performance reviews.
  • Built daily alert systems for GMV, SLA, Registered Users, and Paid Ads Cost Distribution.
  • Collaborated with Project Managers to create standardized reporting formats adopted across the organization.
2017 — 2021
Executive-X
Software Engineer Intern → Business Intelligence Analyst
Python DjangoMetabase Google AnalyticsMySQL CeleryRedis
  • Defined metrics and KPIs for Product and Customer Service teams; unified data reporting across the company.
  • Extracted raw data and built Google Data Studio visualizations for daily, weekly, and monthly business reports covering GMV, NMV, Subscriptions, DAU/WAU/MAU, and User Funnel Conversion.
  • Provided monthly financial statements — revenue analysis, asset and liability entries, and chart of accounts — to support management decision-making.
  • As Software Engineer Intern: migrated Instagram engagement from Laravel to Python Django, with Celery for async task processing, Celery Beat as scheduler, and Redis as message broker.
Projects

Featured Work

Companies and platforms I've contributed to as an analyst and engineer.

// fintech · investment
Nanovest
Platform with a dream to make investment easy and interesting for everyone. Led by a diverse passionate team, Nanovest aims to revolutionize the way young people work towards their financial freedom — covering crypto, stocks, wallet, and gold trading for 5M+ users.
Nanovest
// e-commerce · retail tech
Ula
Help small retailers manage their working capital and stock better through technology, to improve their margins and grow their business. Serving Retailer, Sales, and Logistics verticals across its platform.
Ula
// home & living · proptech
Dekoruma
Founded in 2015, Dekoruma is a technology-based company with the mission of streamlining all processes in the home & living industry through integrated vertical business — connecting consumers with the best furniture, interior design, and property services in Indonesia.
Dekoruma
Education Contribution

Giving Back

Supporting platforms and programs that help the next generation of data and tech professionals grow.

EduSolve
EduSolve
Kuncie
Kuncie
Binar Academy
Binar Academy
Digistar
Digistar
Kartu Prakerja
Kartu Prakerja
Education

Academic Background

Grounded in information technology, advancing into data analytics.

Master Program in Accounting Data Analytics
Universitas Indonesia
2024 — 2025
Bachelor of Science in Information Technology
University Mikroskil
2014 — 2018
Certifications

Licenses & Certificates

Continuous learning across cloud platforms, databases, and analytics tools.

Analyze and Visualize Looker DataGoogle CloudDec 2025
Derive Insights from BigQuery DataGoogle CloudDec 2025
Introduction to Data Engineering on Google CloudGoogle CloudDec 2025
IT Specialist – Data AnalyticsCertiport / Pearson VUENov 2022
Introduction to Programming Using PythonShe Loves DataNov 2022
IT Specialist – DatabasesCertiport / Pearson VUEOct 2022
Microsoft Office Specialist: Excel Associate & ExpertMicrosoftSep 2022
First Look: MySQL 8 for DevelopersLinkedInDec 2021
SQL (Intermediate)HackerRankOct 2021
Google Tag Manager FundamentalsGoogleSep 2020
Advanced Google AnalyticsGoogleMay 2020
Joining Data in SQL / Introduction to SQLDataCamp2020
Contact

Let's build something with data.

Open to analytics engineering, BI, and data roles. Reach out via LinkedIn or update the email below with your own address.

LinkedIn linkedin.com/in/meikelwis-wijaya Email meikelwis.wijaya@gmail.com