Senior Data Analyst - Product (Fintech)

Location: Milan, Italy; hybrid work with two days per week in the office on Tuesday and Thursday, with the option to request extra remote time

Salary: €51,000–€58,000 gross per annum

Company

hirify.global is building an accessible financial platform serving more than 6.5 million users across payments, benefits, investing, and cards.

What you will do

• Own and evolve the domain KPI framework covering activation, adoption, usage, retention, monetisation, risk, and cost signals.
• Analyse user behaviour across funnels and product journeys to identify drop-offs, usage patterns, and unmet needs, then provide prioritised product recommendations.
• Partner with Product Managers and Designers on experimentation roadmaps, including hypotheses, success and guardrail metrics, sample sizes, test design, and readouts.
• Size opportunities, build business cases, and measure the post-launch impact of features and releases.
• Build dashboards, reports, monitoring, and self-service analytics tools using Hex, Looker, or similar platforms.
• Collaborate with Product, Design, Engineering, Operations, and executive stakeholders, including implementing AI-assisted workflows for recurring analysis, anomaly detection, reporting, and ad-hoc exploration.

Requirements

• 4+ years of experience in product analytics, data analytics, or BI, ideally embedded in a product team within a consumer app, fintech, or payments environment.
• Hands-on experience with high-volume, high-frequency event data and product analytics covering funnel, cohort, retention, segmentation, acquisition, activation, retention, and monetisation metrics.
• Proven experience designing and analysing A/B tests, including hypothesis definition, power and sample size, guardrail metrics, statistical significance, and clear readouts for non-technical stakeholders.
• Strong command of SQL and Python for analysis.
• Experience building clear, self-service dashboards and monitoring with Hex, Looker, or similar tools.
• Comfort using AI tools for analytics, automation, ad-hoc analysis, and executive summaries; basic to mid-level proficiency with Claude.
• Ability to break down complex product questions into focused workstreams and own analytical projects from problem framing through recommendation.
• Ability to work independently with cross-functional teams and communicate technical findings as clear, actionable recommendations for senior stakeholders.

Nice to have

• Experience with fintech-specific KPIs and sector dynamics.
• Experience with dbt, Git, and notebook-based analytics such as Hex, Databricks, or Jupyter.
• Experience interacting with AI agents programmatically via APIs.

Culture & Benefits

• Private health insurance for employees and families, psychological support, and mental health workshops.
• Stock Option Plan, meal vouchers, and relocation support when moving countries.
• Professional development programs, internal mobility, and language courses.
• Unlimited PTO, flexible working hours, and a hybrid working policy.
• Enhanced parental leave and additional leave for child sickness.