Data Analyst

Data Analyst at Toss Place

Toss Place is pioneering the offline payment industry by leveraging data analytics. As a Data Analyst in the Data Analysis Chapter and a specific business silo, you will collaborate with various teams including product owners, designers, developers, and other analysts from different affiliates.

Key Responsibilities

• Clean, process, and analyze raw data.
• Create reports and visualizations using DBT and Tableau.
• Define metrics and set hypotheses for rapid iterations.
• Support data-based decision-making through A/B testing and product insights.
• Align team goals using quantitative data and analysis.

What You Bring

• Proficiency in SQL for data extraction and analysis.
• Experience with service data analysis methodologies (e.g., LTV, Cohort Analysis, AARRR).
• Experience in designing and conducting A/B tests.
• Skills in data visualization tools like Tableau.
• Ability to integrate data insights into actionable strategies.

How to Prepare Your Resume

Highlight impactful projects with clear problem definitions, hypothesis testing, experimental design, results, and numeric improvements. Emphasize your experience with service data analysis methods and measurable achievements.

Toss Place Hiring Process

The process involves: Application submission, a query test (approx. 1 hour), job interview, culture fit interview, reference check, compensation discussion, and final offer.

Key skills/competency

• Data Analysis
• SQL
• Tableau
• DBT
• A/B Testing
• Data Visualization
• Hypothesis Testing
• Report Building
• Customer Analysis
• Cross Activation