Data Analyst - Growth & Marketing (Fintech)

Location: Milan, Italy. Hybrid work with two required office days per week on Tuesday and Thursday, with the option to request additional remote time.

Salary: €43,000–€50,000 gross per annum.

Company

hirify.global is building a financial platform offering payments, benefits, investing, and cards to more than 6.5 million users.

What you will do

• Analyse datasets across acquisition, engagement, retention, and monetisation to identify patterns and maximise marketing ROI.
• Partner with Marketing, Finance, Operations, and Product stakeholders and translate analysis into executive-level recommendations.
• Define key metrics and build dashboards and reports for executive and operational teams.
• Design data models and build pipelines contributing to the federated data layer and governed data ownership.
• Support AI-powered agentic workflows for data transformation, exploration, and self-service analytics.
• Own testing initiatives from opportunity identification and experiment design through recommendations.

Requirements

• Four years of experience in data-related roles across Business Intelligence, Business Analytics, or Analytics Engineering, including hands-on work in high-volume or big-data environments.
• Hands-on experience with data modelling, ETLs, and data transformation layers.
• Strong command of SQL and Git.
• Experience with HEX, Looker, or similar tools for building clear reports.
• Ability to break down ambiguous, complex problems into workstreams and own analytical projects end to end.
• Ability to lead initiatives across diverse business domains and translate technical findings into actionable recommendations.
• Proven ability to work with AI tools as coworkers, including prompting and context management, ideally for data analytics, business analytics, or automation.
• Understanding of the digital consumer lifecycle, including Acquisition, Activation, Monetisation, and Retention, plus unit economics such as LTV, CAC, and ARPU.

Nice to have

• Real-world exposure to Data Mesh and contributive data ecosystems.
• Experience with dbt and notebook-based analytics tools such as HEX, Databricks, or Jupyter.

Culture & Benefits

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