S

Satispay

Mobile payment network bypassing card networks

Senior Data Analyst - Product

Data AnalysisConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, Italy€51k - €58k /yr

About the Job

Requirements

  • At least 4 years of experience in product analytics, data analytics, or business intelligence roles; experience embedded in a product team within a consumer app, fintech, or payments environment and hands-on work with high-volume, high-frequency event data are ideal.
  • Solid command of funnel, cohort, retention, and segmentation analysis, and consumer lifecycle metrics covering acquisition, activation, retention, and monetisation.
  • Proven experience designing and analysing A/B tests, including defining hypotheses, assessing power and sample size, selecting guardrail metrics, determining statistical significance, and presenting clear readouts to non-technical stakeholders.
  • Strong command of SQL and Python for analysis.
  • Experience using Hex, Looker, or similar tools to build clear, self-service dashboards and monitoring.
  • Comfort using AI tools for analytics, automation, ad-hoc analysis, and executive summaries.
  • Ability to break down complex product questions into focused workstreams and take end-to-end ownership of analytical projects from problem framing through recommendation.
  • Ability to work independently with cross-functional teams and translate technical findings into clear, actionable recommendations for senior stakeholders.

Responsibilities

  • Define, maintain, and evolve the domain's KPI framework across pods, covering activation, adoption, usage, retention, monetisation, risk, and cost signals, to provide a reliable shared view of product performance.
  • Analyse user behaviour across funnels and product journeys to identify drop-offs, usage patterns, and unmet needs, and translate findings into prioritised recommendations for Product.
  • Partner with Product Managers and Designers to shape the experimentation roadmap by defining hypotheses, success and guardrail metrics, sample sizes, and test designs; conduct readouts and feed learnings into the roadmap.
  • Size opportunities, build business cases, and measure the post-launch impact of new features and releases, connecting shipped work to outcomes.
  • Develop dashboards and reports using Hex, Looker, or similar tools to provide Product, Operations, and leadership with visibility into launches, performance, and anomalies.
  • Work with Product, Design, Engineering, and Operations stakeholders to translate complex data into actionable recommendations, including for executive stakeholders.
  • Design and implement AI-assisted workflows to automate recurring analyses, anomaly detection, and reporting, and accelerate ad-hoc exploration.

Desired Qualifications

  • Experience with fintech-specific key performance indicators and sector dynamics.
  • Experience with dbt, Git, and notebook-based analytics such as Hex, Databricks, or Jupyter.
  • Basic to mid-level proficiency with Claude and experience interacting programmatically with agents through APIs.

About the Company

Satispay

Mobile payment network bypassing card networks

Satispay operates a mobile payments network that runs outside traditional card networks. It links a user’s bank account via IBAN to create a pre-funded virtual wallet for in-store, online, and peer-to-peer payments, using QR codes or online checkout to move funds directly from bank accounts to merchants or other users. Unlike card-based processors, it charges merchants a transaction fee and offers free services to consumers, aiming to reduce costs for small payments. The company seeks to make everyday payments cheaper and simpler while expanding across Europe with new services like digital vouchers and employee benefits.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$577.6M
Headquarters
Milan, Italy
Founded
2013

Recently Posted Jobs

Explore more opportunities at Satispay

See more jobs