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
Requirements
3–5 years in data analytics, BI, or engineering performance roles
Experience with Jira, GitLab, Confluence, 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
Conditions
Reliability: official employment from the first day, bonuses, annual employee review (salary review or bonus, feedback on work results)
Stability: our clients are in different countries, therefore we are ready for any changes in work of any country
Development: a lot of projects and products, which means increasing expertise in working with different technologies, or even switching to completely new ones for you within the company
Active corporate life: we participate in thematic conferences and forums in our cool sphere of business, corporate parties in the best restaurants of the city with participation of stars, etc
Comfort: Offices are in different countries. You can work from anywhere in the world