deCircle
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.
3+ years experience in
data engineering or BI development
(preferably in fintech, crypto, or trading).
Strong SQL proficiency and familiarity with
Redis, PostgreSQL, and time‑series data .
Experience with
Tableau (or equivalent BI tool)
— data modeling, calculated fields, dashboard automation.
Proficiency in
Python
or similar scripting language for ETL and data analysis.
Familiarity with
on‑chain data , DEX trade logs, or blockchain analytics tools (e.g., Dune, Flipside, The Graph).
Understanding of
DeFi protocols, swaps, liquidity pools , and wallet behavior.
Strong communication skills, ability to turn raw data into clear business insights.
Nice to Have
Experience integrating blockchain indexers or running
custom subgraphs .
Familiarity with
The Graph protocol
and decentralized data indexing.
Experience designing metrics for
revenue forecasting and incentive programs .
#J-18808-Ljbffr
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.
3+ years experience in
data engineering or BI development
(preferably in fintech, crypto, or trading).
Strong SQL proficiency and familiarity with
Redis, PostgreSQL, and time‑series data .
Experience with
Tableau (or equivalent BI tool)
— data modeling, calculated fields, dashboard automation.
Proficiency in
Python
or similar scripting language for ETL and data analysis.
Familiarity with
on‑chain data , DEX trade logs, or blockchain analytics tools (e.g., Dune, Flipside, The Graph).
Understanding of
DeFi protocols, swaps, liquidity pools , and wallet behavior.
Strong communication skills, ability to turn raw data into clear business insights.
Nice to Have
Experience integrating blockchain indexers or running
custom subgraphs .
Familiarity with
The Graph protocol
and decentralized data indexing.
Experience designing metrics for
revenue forecasting and incentive programs .
#J-18808-Ljbffr