Junior Data Analyst; Finance

Responsibilities

• Financial Reporting & Automation
  :
  Help maintain, update, and automate weekly and monthly data extracts and financial KPI dashboards (e.g., GMV tracking, revenue burn rates, and unit economics per vertical).
• Data Integrity & Reconciliation
  :
  Partner closely with Finance to reconcile operational transactional data from the Super App warehouse with accounting and billing systems, ensuring data accuracy.
• Modeling Support
  :
  Support the Finance team by querying, structuring, and cleaning historical data sets required for budgeting, forecasting, and long‑range planning models.
• Dashboard Development
  :
  Build, optimize, and maintain clear, user‑friendly data visualizations in BI tools (Tableau/Power BI) for corporate finance stakeholders and leadership.
• Ad‑Hoc Business Analysis
  :
  Respond to requests from finance leadership to investigate specific trends or anomalies (e.g., delivery cost fluctuations, merchant payout discrepancies, or marketing promo ROI).
• Cross‑Functional Collaboration
  :
  Work within a collaborative environment involving data scientists, backend engineers, and product managers to ensure our underlying data pipelines capture the correct financial attributes.

• Education
  : A bachelor’s degree in a quantitative or financial field such as Data Analytics, Finance, Economics, Statistics, or Information Systems.
• Technical Stack
  :
  Strong foundational proficiency in SQL and advanced Excel/Google Sheets (Pivot Tables, XLOOKUP, data structuring).
• Data Visualization
  :
  Hands‑on experience or academic exposure building dashboards in Tableau, Power BI, or Looker.
• Attention to Detail
  :
  Meticulous attention to accuracy—drive to identify errors or discrepancies in financial numbers.
• Communication
  :
  Effective communication skills, able to translate complex database tables into clear, actionable insights for financial stakeholders.
• Adaptability
  :
  Demonstrated ability to learn quickly, prioritize tasks, and meet critical deadlines in a fast‑paced environment.
• Teamwork
  :
  Excellent collaboration skills with a positive mindset aligned with a people‑first culture.
• Financial Literacy
  :
  Foundational understanding of basic corporate finance concepts (Income Statements, margins, accounting basics).
• Python/R:
  Familiarity with Python or R for basic data manipulation and scripting (e.g., Pandas).
• Industry Experience
  :
  Prior internship or academic exposure related to e‑commerce, food delivery, logistics, or parcel delivery services.

• Flexible time off with generous leave and wellness policies.
• Learning budgets and access to courses and tools for professional growth.
• Collaborate with a global team and experience agile processes.