Remote ( Europe only )
The company is a liquidity and technology provider of solutions for the crypto and foreign exchange (FX) industry. The company specializes in the sphere of B2B services and products, catering to a wide range of clients including large licensed brokers, crypto exchanges, crypto brokers, forex brokers, hedge and crypto funds, and professional managers.
What We’ll Do
Analyze engineering time logs vs Jira velocity (story points per sprint).Track effort vs delivery : compare logged hours (Timing, GitLab, Jira) with actual output.Identify delivery bottlenecks per team / per product.Produce weekly reports : underperformance, overengineering, velocity gaps.Assist CTO, Chief of Staff, and Head of AI in decision-making using live productivity data.Maintain dashboards and alerts for performance anomalies.Investigate incident logs and link root causes to engineering workflows.What We’re Looking For
3-5 years in data analytics, BI, or engineering performance roles.Experience with Jira, GitLab, Confluence, and Time-tracking (Timing, Harvest, etc.).Strong SQL, Looker / Power BI / Tableau.Background in SaaS, Agile teams, or tech finance / FP&A is a strong plus.Precision mindset - this is an audit function, not interpretation.Benefits :
Competetive salary based on knowledge and experience.Annual leave (24 days as per group policy).Flexible working options such as remote working and hybrid schedules.Support for continuing education, certifications, and professional training programs relevant to the industry (upon completion of 1 year with the company).Performance-related annual bonuses based on individual performance and KPIs completed.