RevOps Analytics, BI Analyst

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Logo of TRM Labs

TRM Labs

201 - 500 employees

Founded 2018

₿ Crypto

📋 Compliance

đŸ€ B2B

Crypto ‱ Compliance ‱ B2B

TRM Labs is a blockchain intelligence company that provides transaction-monitoring, forensics, and compliance solutions for businesses and public-sector organizations dealing with cryptocurrencies. Their platform and products (examples: Compliance360, Investigation360, Seizure360, Supervision360, BlockInt API, MCP, wallet screening, Know-Your-Asset) help banks, crypto firms, regulators, law enforcement, and tax authorities detect, investigate, and block illicit crypto activity, support seizures, and meet AML/CTF and supervision requirements. TRM also offers training and certification (TRM Academy) and professional services such as incident response and capacity development.

📋 Description

‱ Build and maintain the curated Cortex data layer using dbt models and transformations from raw sources to trusted tables ‱ Design a scalable transformation architecture for future datasets and use cases ‱ Define and standardize core business calculations such as ARR, pipeline, conversion rates, and forecasting ‱ Create and maintain the semantic layer as the company’s single source of truth ‱ Build and own official dashboards, metrics, and reporting on top of the data foundation ‱ Translate GTM and RevOps questions into clear metrics, dashboards, and recommendations ‱ Establish a governed, documented curated layer and standardized revenue-metric definitions ‱ Launch official self-serve dashboards during the first six months

🎯 Requirements

‱ Strong SQL and hands-on data modeling ‱ Experience with dbt or an equivalent transformation framework ‱ Proven dashboard and BI expertise focused on clear, decision-driving views ‱ Strong data-visualization sensibility, including graph and relationship visualization ‱ Strong metric-definition skills ‱ Ability to own the full path from raw data to model, metric, and dashboard ‱ Business-oriented approach to translating GTM and RevOps questions into data ‱ BigQuery and modern data stack experience preferred ‱ Python for heavier transformations preferred ‱ Experience in a GTM, RevOps, or commercial-analytics context preferred ‱ Comfortable partnering directly with stakeholders and presenting insights preferred ‱ Applied AI fluency; candidates are evaluated on AI use during interviews

đŸ–ïž Benefits

‱ Competitive benefits, wellness programs, and time away from work, varying by country and local employment requirements ‱ Distributed-first/remote work arrangement ‱ Professional growth and development opportunities

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