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LI.FI ищет руководителя Data команды для определения приоритетов и плана работы, проведения ревью и воркшопов. Будете выполнятьHands-on аналитику, формулировать рекомендации и обеспечивать данные для еженедельного и месячного обзоров.
Взаимодействие с PM для внедрения трекинга и показателей, развитие команды и координация дорожной карты данных с бизнес‑целями.
LI.FI’s Data team provides analytics and data products that inform decision-making across the company.
Own the Data team’s priorities, intake, and triage; run planning, reviews, and workshops Perform hands‑on analytics, including deep dives, dashboards, business cases, recommendations, and data inputs for the weekly report and Monthly Business Review Partner with Product Managers to embed tracking and success metrics into PRDs and align the data roadmap with product roadmaps Translate stakeholder business questions into specifications, metric definitions, and acceptance criteria Review analyses, dashboards, and datasets before they reach internal or external stakeholders Coach and develop the Data team in problem framing, communication, and stakeholder management Co‑own the roadmap with the Data Tech Lead, ensuring infrastructure work serves business needs
6+ Years in data analytics, analytics engineering, or data product work, with experience leading people or setting priorities for a small team Expert SQL skills, including independently extracting, validating, and challenging data Hands‑on experience building dashboards and reports with BI tools such as Omni or Superset Strong business and product mindset, using data to identify revenue, pricing, or growth opportunities Technical depth to partner with data engineers and discuss warehouse design, pipelines, data models, and trade‑offs Proven stakeholder management and communication skills across product, engineering, finance, BD, and C‑suite Strong data storytelling skills for technical and non‑technical audiences Crypto/DeFi domain experience or demonstrable deep understanding of cross‑chain, DEX aggregation, bridges, or wallets Comfortable working in a fast‑paced, high‑growth environment with shifting priorities and evolving processes Будет плюсом: Python, dbt, dimensional modelling, semantic layer design, metric definition management, AI‑readiness for LLMs and agents, ML modelling, on‑chain data and tooling such as Dune Analytics, streaming data such as Kafka
Annual company offsites 30 Days of PTO Flexible working hours Equity participation from day 1 Work computer with choice of equipment Annual 1,000€ personal development budget after 6+ months of employment, pro‑rated in the first year One‑time 1,000€ remote budget for coworking or office setup Independent contractors are entitled only to the first five listed benefits Shortlisted candidates complete a people operations interview, take‑home assignment, meet‑the‑team and founder interview, and reference check