Description

Data Analyst focusing on financial automation and model development. Experienced in building end-to-end data pipelines for revenue accounting processes and developing calculation models. Track record of transforming complex financial workflows into automated, scalable solutions.

Tech Stacks: Python, Looker, dbt, SQL, Snowflake, Tableau.

Languages

Japanese
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Hellofresh
Revenue Analyst
TECH
April 2023 - Today (3 years and 2 months)
Berlin, Germany
- Orchestrated and implemented a VAT optimisation model and data pipeline for Italy and Spain markets by utilizing per-order ingredient data, reducing effective VAT rates of the markets from 10% to 6-7%, directly improving profit margins
- Transformed revenue accounting processes through automation and cross-functional collaboration, implementing technical solutions with Databricks(Python, PySpark) and SQL while serving as finance-data liaison for local finance teams and auditors (PwC and KPMG)
- Spearheaded a global cross-entity initiative across 30 entities to centralize doubtful debt provision calculations under IFRS9. Developed automated data pipelines, created interactive Tableau dashboards, and automated journal entries, saving 30 hours of manual work each month
- Developed calculation for loyalty program provision model under IFRS15 across all entities, providing C-level executives with critical data analysis for program rollout decisions
Python Databricks SQL Tableau Finance
Plentific
Growth Analyst
REAL ESTATE
June 2022 - November 2022 (5 months)
Berlin, Germany
• Gather requirements and create dashboards with Looker for the commercial team
• Monitor weekly KPIs and report to senior management
• Build data models in dbt and LookerML to create clean and
optimal data structure. Review pull requests from data
engineers as well
• Identify data issues and work with backend engineers and
product managers to fix it
• Analyze new markets and build growth strategies
• Create a cohort analysis method by segmenting and profiling
customers for revenue forecasting
Looker dbt Snowflake Python
Spiced Academy
Data Science Bootcamp
DIGITAL AND IT
November 2021 - March 2022 (5 months)
Berlin, Germany
12 weeks full-time Data Science Bootcamp in Python covering:
• Exploratory Data Analysis (pandas, numpy)
• Data Visualization (seaborn, matplotlib)
• Classical Machine Learning (scikit-learn)
• NLP (Regex, Word Embedding, NLTK, TF-IDF, stemming, tokenizing, lemmatization)
• Deep Learning (tensorflow. keras)
• Databases (PostgreSQL, MongoDB)
• Cloud computing (AWS EC2, Docker)
• Developer Tools (version control with git and bash)
• Data structures (functions, classes)
• Web Dev tools & scraping (HTML, flask, REST API, JSON, scrapy)
Python Machine learning Deep Learning NLP Cloud computing