BI & Analytics Intern

Job Description: BI & Analytics Intern Location: Singapore

Duration: 3 – 6 months

About Tazapay Tazapay is a leading cross-border payments platform, simplifying how businesses conduct global trade. We provide comprehensive payment solutions for collect, hold and payout to empower businesses of all sizes to scale internationally with confidence, without the need to set up local entities or work with multiple payment partners.

A single account and integration with Tazapay enables merchants to collect via cards and stablecoins globally, and via local payment methods (like UPI, Pix, PromptPay, etc) and Virtual bank accounts in 70+ markets. Tazapay’s platform also enables merchants to manage FX liquidity in 60+ currencies and payout to local bank accounts in 100+ countries.

Tazapay is licensed in Singapore and Canada, and is backed by leading global investors such as Peak XV, RTP Global and PayPal.

Our mission is to build trust in cross-border commerce by offering a secure, transparent, and efficient payments infrastructure that bridges businesses and customers globally.

Role Overview We’re looking for a BI & Analytics Intern who enjoys building as much as analysing. You’ll work with stakeholders across the business to make data more accessible and actionable, delivering solutions that create lasting impact beyond the internship. The role covers three areas: building an internal AI-powered analytics assistant, developing finance automation workflows, and creating dashboards and reporting solutions. You’ll work across the full analytics lifecycle, from sourcing and transforming data to delivering scalable outputs for decision-making. You’ll be embedded within the FP&A team while collaborating closely with Engineering, Product, and external partners. All work will be done within Tazapay’s internal data governance framework under the guidance of the BI and Data Engineering teams. Key Responsibilities Responsibilities include but are not limited to:

1. Internal Analytics Assistant Design and build a governed internal analytics assistant that lets Finance, Sales, and Management ask business questions in plain English and get validated, explainable answers from our internal data warehouse

Build query templates for the most common business questions and implement audit logging covering usage, cost, and query activity

Work with IT and the BI lead to define the governance framework: approved data access scope, user permissions, and metric versioning policy

2. Finance Automation Workflows Support FP&A operations through workflow automation and reporting process improvements

3. Dashboarding

Build and improve internal dashboards across company metrics, entity-level P&L, Sales and Account Management performance, and Finance reporting

Qualifications Must Have

Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Finance, or a related field

Strong SQL skills with comfort around complex queries, joins, window functions, CTEs, and aggregations

Familiarity with ClickHouse or willingness to learn quickly

Ability to work across technical and business stakeholders

Comfortable building end-to-end, not just analysing

Strong attention to detail, especially around data accuracy and reconciliation

Experience with LLMs or AI agent frameworks (LangChain, Claude API, OpenAI)

Good to Have

Exposure to fintech datasets like transactions, settlements, FX rates, or reconciliation data

Prior internship or project experience at a fintech, bank, or financial services company

Python for scripting and lightweight automation

Experience with Tableau, QuickSight, or similar BI tools

Understanding of P&L structure or month-end close processes

Familiarity with dbt or eagerness to pick it up

Comfortable working with version control (git) in a team setting