Business Data Analyst

EMURGO; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A blockchain technology firm in Singapore is looking for a Business Data Analyst to work closely with the CEO. This role involves building dashboards, applying machine learning for data insights, and integrating various data sources. The ideal candidate will have a relevant degree and experience in data analysis, ideally within fintech. Competitive compensation and opportunities for growth are offered.

Benefits

Competitive compensation

Global exposure

Professional growth opportunities

Qualifications

• 3–5 years of experience as a Data Analyst, Business Analyst, or BI Analyst, ideally in fintech.
• Proficiency with SQL and at least one BI platform.
• Hands-on experience with Python or R for data analysis, forecasting, or ML prototyping.

Responsibilities

• Build and maintain dashboards and reports across BI tools.
• Integrate data pipelines into a central warehouse.
• Apply machine learning models for forecasting and customer segmentation.

Skills

Data storytelling

SQL

Python

Machine learning

Education

Bachelor’s degree in Business, Finance, Data Science, Economics

Tools

Power BI

Tableau

Fivetran

Snowflake

Job description

Overview

We are seeking a Business Data Analyst to join the Office of the CEO, working directly with the CEO to enable data-driven strategic and operational decisions.

This role will combine business intelligence with cutting-edge AI/ML to surface insights across EMURGO’s business units. The analyst will consolidate data across financial, operational, marketing, and social channels — while also experimenting with machine learning forecasting models and LLM-powered analytics assistants that provide automated executive insights.

Key Responsibilities

• Build and maintain dashboards and reports across Power BI, Tableau, Looker, or similar BI tools.
• Integrate data pipelines via Fivetran, Airbyte, Stitch, or dbt into a central warehouse (Snowflake, BigQuery, or Redshift).
• Apply machine learning models for forecasting, churn prediction, customer segmentation, and anomaly detection.
• Leverage LLMs and generative AI to create automated reporting, natural language queries (“chat with your data”), and executive briefing summaries.
• Consolidate KPIs across finance, product, operations, and marketing, ensuring data governance and consistency.
• Build predictive financial models and scenario simulations to support executive decision-making.
• Deploy AI-enhanced sentiment analysis and brand monitoring from social media and community data.
• Partner with leadership to identify opportunities to embed AI/ML automation in operational workflows.

Must-Have

• Bachelor’s degree in Business, Finance, Data Science, Economics, or related field.
• 3–5 years of experience as a Data Analyst, Business Analyst, or BI Analyst, ideally in fintech, blockchain, or financial services.
• Proficiency with SQL and at least one BI platform (Power BI, Tableau, Looker, or Qlik).
• Experience with ETL/ELT tools (Fivetran, Stitch, Airbyte, dbt) and data warehouses (Snowflake, BigQuery, or Redshift).
• Hands-on experience with Python or R for data analysis, forecasting, or ML prototyping.
• Familiarity with social media and digital marketing analytics (GA4, Sprout Social, Hootsuite).
• Strong data storytelling skills and ability to deliver executive-ready insights.

Nice-to-Have

• Experience deploying ML models (e.g., scikit-learn, TensorFlow, PyTorch) into production analytics pipelines.
• Knowledge of LLM applications for analytics (e.g., OpenAI, LangChain, DataRobot, ThoughtSpot Sage, or Microsoft Fabric Copilot).
• Exposure to blockchain/Web3 analytics (on-chain data, DeFi dashboards).
• Background in financial planning systems (Anaplan, Adaptive Insights).
• Prior experience preparing board-level or investor-ready analytics.

Why Join EMURGO

• Direct exposure: Work side by side with the CEO on strategy, operations, and investor-facing reporting.
• Shape EMURGO’s data infrastructure and AI-driven analytics function from the ground up.
• Be at the cutting edge: apply LLMs and ML to real business problems in blockchain and Web3.
• Work across diverse business units — stablecoin, wallets, tokenization, and trading.
• Competitive compensation, global exposure, and strong professional growth opportunities.