Orca’s mission is to become the leading provider of on-chain financial primitives. We see a future where much of the world’s financial system is powered by DeFi, and we’re looking to hire an Analytics Engineer to join our Product team and accelerate our progress towards that vision.

The ideal candidate for this role is passionate about improving products through data insights and also possesses the deep technical proficiency required to build the data pipelines that power our analytics. An understanding of blockchain technology and DeFi protocols, especially within the Solana ecosystem, is highly desired. However, an eagerness to learn and the ability to quickly master new skills is the most important.

What you’ll do

  • Serve as the go-to data expert within the organization, developing and maintaining critical metrics and dashboards used by the entire organization.
  • Leverage off-the-shelf tools such as Dune Analytics for immediate impact while working cross functionally to define and implement our long-term data strategy.
  • Design and implement a robust data pipeline and ETL process to power our analytics for business intelligence purposes.
  • Work closely with the Engineering team to collaborate on technical architecture and data best practices.
  • Combine onchain and offchain analysis to tell a cohesive data story and how it applies to the business or products involved.
  • Evaluate and integrate data visualization tools such as Tableau or Apache Superset that will be used to gain insights and inform business decisions.
  • Generate clear and concise reports to communicate key findings and recommendations.
  • Monitor key performance indicators (KPIs) and propose strategies for continuous product improvement.

What you’ll bring

  • Familiarity with blockchain and DeFi metrics, particularly within the Solana ecosystem.
  • Experience with blockchain analytics platforms, such as Dune Analytics, or the ability to quickly master new tools.
  • Proficiency in working with various data sources, including APIs, RDBMS, structured and unstructured data, demonstrating the ability to ingest data from many sources.
  • Strong SQL skills for data manipulation and query execution.
  • A collaborative spirit, capable of working closely with cross-functional teams to design and implement effective data dashboards and analytics strategies.
  • Ownership mentality: if you see a better way, you work with others to get it done.
  • Desire to delve into raw data to uncover behavioral trends and insights. This curiosity fuels the drive to explore data that is relevant to the organization’s business goals.

Preferred Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • Experience with BI tools such as Excel, Tableau, Looker, Power BI, or other similar tools for data visualization and reporting.
  • Significant experience personally using Orca and other Solana DeFi protocols.
  • Knowledgeable about Orca’s CLAMM product and a comprehensive grasp of Solana’s unique data structures and DeFi user behavior will set candidates apart.

What we offer

  • Opportunity to shape Solana DeFi at an established protocol.
  • Competitive salary and ORCA token allocation.
  • Flexible work schedule.
  • Option to work remotely or from our office in New York City. Note: North American hours are prioritized for meetings.
  • Work alongside a global team of talented and passionate Orca contributors.
  • Cross-functional collaboration with product, engineering, and business development to gain insights and skills from various departments.

To apply:

Submit an application to [email protected] with the subject [Analytics Engineer]: {your full name}, and include the following:

  • CV or LinkedIn profile
  • Twitter profile
  • When you’re able to start
  • Short description of your background in DeFi and interest in Solana and Orca
  • Short project:
    • Design and describe an interesting metric that you would use to inform product improvements for Orca. This can be a metric driven from onchain data, offchain data, or a combination of the two. Examples of onchain data are wallet addresses, liquidity pools, and trades. Offchain metrics include things like tracked user interactions with our web application.The goal is to illustrate your product-oriented mindset and experience in solving data engineering challenges.

Here are some questions to consider:

  • What user-base is this metric targeting?
  • How would we use it to make better product decisions?
  • How would we collect and process this data, and what are some challenges we could face?