
501 - 1000 employees
🔌 API
💳 Fintech
🔒 Cybersecurity
💰 $170M Series F on 2022-05
API • Fintech • Cybersecurity
Chainalysis is the leading blockchain data platform that provides blockchain intelligence solutions for various sectors, including law enforcement, regulators, financial institutions, and centralized exchanges. The company helps organizations tackle crypto challenges, ensure compliance with regulations, and mitigate risks associated with cryptocurrency transactions through its innovative solutions and insights. With an R&D hub known as Chainalysis Labs, the company is dedicated to advancing blockchain intelligence and supporting a safer digital economy.
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501 - 1000 employees
🔌 API
💳 Fintech
🔒 Cybersecurity
💰 $170M Series F on 2022-05
API • Fintech • Cybersecurity
Chainalysis is the leading blockchain data platform that provides blockchain intelligence solutions for various sectors, including law enforcement, regulators, financial institutions, and centralized exchanges. The company helps organizations tackle crypto challenges, ensure compliance with regulations, and mitigate risks associated with cryptocurrency transactions through its innovative solutions and insights. With an R&D hub known as Chainalysis Labs, the company is dedicated to advancing blockchain intelligence and supporting a safer digital economy.
• Partner with stakeholders to translate business problems into clear data product use cases and scalable data solutions • Define and standardize metric definitions and semantic layers by establishing clear business logic, calculation rules, and hierarchies to ensure consistency, accuracy, and alignment across reporting • Collaborate with Data Engineering to design, build, and optimize scalable, reusable datasets that consolidate, refresh, and make data easily accessible to stakeholders • Manage the operational lifecycle of data products, including updates, issue resolution, and performance tracking • Drive adoption of standardized datasets by creating clear documentation, examples, and enablement materials
• Experience working as Data Product Manager, Data Strategist, or in a product-oriented, data-focused environment • Strong understanding of data ecosystems, including data warehousing, modeling, and analytics workflows • Experience working with cross-functional teams including Data Engineering and business stakeholders • Experience translating complex business problems into clear product requirements and scalable data solutions • Strong understanding business metrics (eg: ARR, Churn, NRR, LTV:CAC) and how they are used in decision making • Experience creating and maintaining documentation in tools like Confluence • Excellent stakeholder management and communication skills • Strong analytical and problem-solving skills with a data-driven mindset • Experience driving product adoption and measuring impact
• Health insurance • Professional development opportunities
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