P2P.org

Product Analyst

8.0/10

P2P.org

Not specified
Remote
mid
about 2 months ago
analyticscryptodefiproductweb3SolanaSQLGoogle BigQueryPythonAirflowDBTETL

AI Summary

The vacancy provides clear responsibilities and tech stack, but lacks specific salary details and social media links.

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Description

You will

  • โ€ข**Validator Economics**
  • โ€ขAnalyze validator performance, staking economics, and revenue drivers across networks.
  • โ€ขConduct protocol-level research to understand incentives, validator mechanics, and network dynamics.
  • โ€ขIdentify opportunities to optimize validator economics and validation strategies.
  • โ€ข**Strategic Insights**
  • โ€ขMonitor the blockchain ecosystem to detect emerging opportunities, risks, and strategic developments.
  • โ€ขProduce insights and analysis to support product, business, and validation strategy decisions.
  • โ€ข**Data Solutions & Platform Development**
  • โ€ขDesign and deploy end-to-end data solutions, from analysis and modeling to production deployment.
  • โ€ขMaintain and optimize data pipelines for validator analytics, reporting, and protocol monitoring.
  • โ€ข**Data Governance**
  • โ€ขDefine data requirements for the Data Engineering team (granularity, frequency, and data quality).
  • โ€ขGovern domain data marts and ensure clear data lineage from source systems to reporting layers.
  • โ€ข**Business Support**
  • โ€ขBuild dashboards and analytical tools
  • โ€ขProvide ad-hoc analysis and data support

Conditions

  • โ€ขFully remote
  • โ€ขFull-time contractor (Indefinite-term Consultancy Agreement)
  • โ€ขCompetitive salary level in $ (we can also pay in crypto)
  • โ€ขPaid vacation and sick leave
  • โ€ขWell-being program
  • โ€ขMental Health care program
  • โ€ขCompensation for education, including foreign language & professional growth courses
  • โ€ขEquipment & co-working reimbursement program
  • โ€ขOverseas conferences, community immersion

Requirements

  • โ€ขExperience working with **Solana** data
  • โ€ขAdvanced **SQL** including different joins and window expressions.

We are using **Google** BigQuery

  • โ€ขAnalytical **Python** stack.
  • โ€ขFamiliarity with **ETL** instruments such as **Airflow, DBT**
  • โ€ขData research skills, probability theory, and mathematical statistics.

Ability to operate in such models as regressions and **A/B tests**.

  • โ€ข**Data storytelling** skills.

Ability to form your opinion and prove it with data beyond reasonable doubt.

  • โ€ขEffective work with **data consumers**.

You need to own a task, decompose it, and pass it after completion.

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