Data & BI Engineer - Odos

About Odos

Odos is the most advanced Smart Order Routing protocol in DeFi — aggregating liquidity across 16+ EVM chains to deliver the best execution paths for swaps, bridges, and limit orders. With billions in total volume and millions of unique wallets, we’re expanding our data and analytics capabilities to better understand our users, optimize routing algorithms, and support new products like Protected Swaps, Multi-Token Swaps, and Loyalty Programs.

Role Overview

We are seeking a Data & BI Engineer responsible for the design, reliability, and scalability of Odos’s transaction data pipelines, business intelligence metrics, and Tableau dashboards. This role will bridge on-chain trade data with user and loyalty program analytics, enabling the product, growth, and finance teams to make data-driven decisions.

You will own the transaction database layer and help build a unified analytics view of Odos operations — from trade volume and fee revenue to wallet activity, rewards, and partner performance.

Responsibilities

• Data Infrastructure

  • Maintain and scale the Odos transaction and event database (Redis, PostgreSQL, or equivalent).

  • Build ETL pipelines from on-chain data sources, APIs, and internal services.

  • Ensure data integrity, consistency, and query performance across chains and order types.
    

• Business Intelligence & Reporting

  • Define and track key metrics (e.g., total volume, route count, fee revenue, average slippage, gas savings, wallet activity).

  • Develop and maintain Tableau dashboards and automated reporting for the leadership team.

  • Collaborate with product and growth teams to design campaign and feature-specific analytics (Protected Swaps, Multi-Token Swaps, etc.).
    

• Loyalty & User Analytics

  • Integrate and analyze loyalty program data — wallet tiers, reward distribution, retention, and ROI.

  • Work with marketing and growth teams to attribute traffic and measure referral or loyalty campaigns.
    

• Cross-Functional Collaboration

  • Partner with backend engineers on event schemas and pipeline performance.

  • Support finance and ops with data exports for audits, investors, and DAO reporting.