Data Analyst

- Work directly with the Director on data analysis tasks and requests

- Collaborate with the Product team to learn data structure of the systems

- Query and analyze data from relational databases (RDBMS)

- Build and maintain Excel-based reports, using formulas, pivot tables, and charts to organize and present data

- Help source data through web/data scraping techniques

- Apply core data analyst practices — cleaning, cleansing, and refining data — to keep it accurate and usable

- Actively use AI tools (e.g., ChatGPT, Claude, Copilot) day-to-day to speed up research, writing queries, cleaning data, building reports, and solving problems faster

- Explore and suggest new ways AI can be applied to improve how the team works

- Maintain accountability in AI usage. Knows when and which data may be used with AI

- Help summarize findings into simple, easy-to-understand reports for the Director and stakeholders

- Max 27 years old

- Fresh graduates welcome; 0-2 years of relevant experience preferred

- Proficiency in SQL

- Comfortable using Excel for everyday tasks (formulas, basic pivot tables) and for presenting data

- Proficiency with data scrapping techniques

- Genuine interest in AI tools — actively using tools like ChatGPT, Claude, or Copilot in daily work/study is a big plus

- Coursework, personal projects, or internships involving data analysis

- Exposure to data visualization tools (e.g., Tableau, Power BI, Looker)

- Basic familiarity with Python or other scripting languages

- Experience experimenting with AI tools for automation, research, or productivity