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6 дней назад

Product Data Analyst (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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