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.
- 35 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.
