6 дней назад
Product Data Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Data Analyst (AI): Building reliable metrics, data models, dashboards, invoicing pipelines, and experiments for an AI-powered debt-collection platform with an accent on SQL, Python, KPI governance, and data quality. Focus on automating multi-currency billing, distinguishing recovery lift from noise, and tracing anomalous metrics to their source.
Location: London, United Kingdom; hybrid setup with 3 days per week at the office
Company
develops voice and multi-channel AI agents for banks, initially focused on respectful and personalized debt collection.
What you will do
- Define and maintain the KPIs used across the business.
- Build data models and dashboards from call, debt, and payment data.
- Automate invoicing pipelines for banks and multiple currencies.
- Design and analyze experiments measuring recovery improvements.
- Investigate anomalous metrics, identify root causes, and resolve issues at the source.
Requirements
- Strong analytical skills and experience building business-critical metrics and models.
- Fluency in SQL and Python.
- STEM degree and a rigorous, highly analytical approach.
- Strong ownership of outcomes and attention to data quality.
- Ability to use AI for automation while maintaining rigorous quality control.
- Ability to work in a hybrid setup in London, with 3 days per week at the office.
Nice to have
- Collections or fintech experience is not required; domain knowledge can be learned on the job.
Culture & Benefits
- Small team with high autonomy and significant ownership.
- Direct collaboration with the co-founders and founding team.
- Salary positioned at the top of the benchmark.
- Fair equity with substantial upside potential.
- Opportunity to work on an AI product serving major banks in a large debt-collection market.
Hiring process
- Introductory interview with a future teammate.
- Technical deep dive with the Hiring Manager and potentially another team member.
- Tech assessment or business case.
- Office coffee with the founders and Hiring Manager in Barcelona.
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