Senior Analytics Engineer
P2P. org · Cyprus; Kazakhstan; Montenegro; Poland; Serbia; United Kingd
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
is the largest institutional staking provider with a TVL of over $10B and a market share exceeding 20% in restaking.
We are continually focused on researching and improving our infrastructure to extract maximum APR while enhancing security. For instance, in ETH and SOL, our NRR is on average 10% higher than the market, and in DOT, it's 20% higher.
We also place significant focus and resources on launching new networks such as TON, Avail, Monad, Babylon, Story, Berachain, and others, along with yield products. From restaking, where we are the largest operator with a 20+% market share, to yield aggregators on stablecoins.
Our clients include BitGo, Copper, , Ledger, ByBit, Bitget, OKX, HTX, Bitvavo, SBI, and others, who choose us for our client-centric approach and extensive product line from unified API to widgets and custom dApps.
We are also actively expanding our product line, exploring RWA, data, yield, and service products for banks, exchanges, custodians, and wallets.
unites talented individuals globally.
Despite our distributed team, we share a passion for decentralized finance - a fairer system for all. We code, learn, create, and connect to shape finance's future.
boasts a strong reputation and network. We prioritize customer satisfaction and, as tech enthusiasts, develop innovative solutions that bolster our brand.
Responsibilities
Design, build, and maintain business data marts to support analytics, reporting, and decision-making across the organization.
Implement and manage Master Data Management (MDM) for core business entities such as clients, networks, and products to ensure a consistent source of truth.
Automate client and internal business reporting, reducing manual processes and improving reliability of insights.
Develop and support data pipelines for on-chain and off-chain data, ensuring high data quality, scalability, and reliability.
Build and own critical business dashboards that provide clear visibility into business health and proactively surface insights and anomalies to stakeholders.
Requirement
Advanced SQL skills, including complex joins, window functions, and performance optimization (experience with Google BigQuery is preferred).
Strong analytical skills using Python (pandas, numpy, or similar analytical libraries).
Experience with modern data stack tools such as Airflow and dbt for ETL orchestration and transformation.
Familiarity with data visualization tools (e.g., Superset, Tableau, Power BI, Looker, etc.).
Strong data storytelling ability — capable of forming clear hypotheses, validating them with data, and communicating insights effectively.
Ability to work closely with stakeholders, take ownership of analytical tasks, decompose problems, and deliver end-to-end solutions.
English proficiency: B2 or higher.
Experience in the crypto / blockchain ecosystem is a strong plus.
At we have a team of experts with their own unique approach and ownership culture. Together we gain experience and make dreams come true!
Fully remote
Full-time contractor (Indefinite-term Consultancy Agreement)
Competitive salary level in $ (we can also pay in crypto)
Paid vacation and sick leave
Well-being program
Mental Health care program
Compensation for education, including foreign language & professional growth courses
Equipment & co-working reimbursement program
Overseas conferences, community immersion
is committed to providing equal opportunities. All applicants will be considered without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, veteran status, or disability.
Originally posted on Himalayas
Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Data Engineer career changes, measuredevery measured route out
- Data Architect → Data Engineer48% readiness
- Data Analyst → Data Engineer31% readiness
- All open data engineer rolesthe full board
Where these skills also reach
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