Data Analyst - Analytics Engineering

Satispay; Turbigo; Ibrido; EUR 45.000 - 65.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private insurance

Stock Option Plan

Unlimited PTO

Hybrid working policy

Descrizione del lavoro

Satispay is seeking a Data Analyst – Analytics Engineering in Turbigo, Italy, to enhance decision-making and drive data strategy through scalable data assets. You will lead the design of data architecture, define AI workflows, and partner with key stakeholders across the organization.

The ideal candidate will have 5+ years of experience in data roles, strong SQL and Python skills, and a solid understanding of the digital consumer lifecycle. Benefits include private health insurance, stock options, and a hybrid working policy.

Competenze

• 5+ years in data-related roles with 3 years hands-on in big data environments.
• Strong command of SQL, dbt, and Python.
• Experience in data modelling, ETL, data governance, and Data Mesh implementation.
• Ability to work with AI tools and manage prompts programmatically.
• Solid understanding of digital consumer lifecycle.

Mansioni

• Lead Data Architecture, designing robust data models.
• Implement AI-powered workflows for data transformation.
• Develop dashboards and reports to communicate insights effectively.
• Analyze datasets to maximize consumer funnel ROI.
• Collaborate with Marketing, Finance, Operations, Product.

Conoscenze

SQL

dbt

Python

Data Modelling

Stakeholder Management

Analytical Skills

Strumenti

Git

Jupyter

Descrizione del lavoro

Satispay is building a complete financial platform and we need a Data Analyst – Analytics Engineering to drive our data strategy and enhance decision‑making by developing scalable data assets and AI‑powered workflows.

What You’ll Be Doing

• Lead Design Data Architecture – Drive the development of the Data Mesh layer by designing robust data models and building pipelines that integrate into the company’s federated data strategy, ensuring scalable and governed data ownership.
• Define AI Agentic Workflows – Design and implement AI‑powered agentic workflows for data transformation and exploration, accelerating analytical capabilities and enabling self‑service for key stakeholders.
• Build High‑Impact Visualisation Tools – Define key metrics and develop dashboards and reports (using tools such as Hex or Looker) that communicate analytical insights effectively.
• Drive Decision-Making Through Data – Analyse complex datasets to identify patterns impacting the consumer funnel (Acquisition, Engagement, Retention, Monetisation) and partner with Marketing Managers to maximise ROI.
• Partner with Key Stakeholders – Act as a strategic partner for Marketing, Finance, Operations, and Product, bridging the gap between technical data and business goals.
• Drive Testing Initiatives – Own the end‑to‑end testing pipeline, from opportunity identification to experiment design and recommendation delivery.

Who We’re Looking For

• Relevant Experience – 5+ years in data‑related roles (Data Engineering, Analytics, BI) with at least 3 years of hands‑on experience in high‑volume or big data environments.
• Technical Proficiency – Strong command of SQL, dbt, and Python. Experience with Git and notebook‑based analytics (e.g., Jupyter) is a plus.
• Data Modelling & Mesh Expertise – Hands‑on experience in data modelling, ETL, data governance, and Data Mesh implementation at scale.
• AI Fluency – Proven ability to work with AI tools, including prompting and context management, or interacting with agents programmatically via APIs.
• Analytical & Problem‑Solving Skills – Comfortable with ambiguity, able to break down complex problems into focused workstreams and deliver evidence‑based answers.
• Stakeholder Management & Communication – Able to independently lead initiatives across diverse business domains and translate technical findings into clear, actionable recommendations.
• Digital Consumer Lifecycle Knowledge – Solid understanding of consumer lifecycle (Acquisition, Activation, Retention, Churn) and user economics (ARPU, CAC, LTV).

Benefits

• Health – Private insurance for you and your family, psychological support, mental health workshops.
• Financial Resources – Stock Option Plan, meal vouchers, relocation support if moving countries.
• Growth and Development – Professional development programs, internal mobility, language courses with Preply.
• Flexibility – Unlimited PTO, hybrid working policy, flexible working hours.
• Family – Enhanced parental leave, additional leave for child sickness.
• Office Presence – Three days per week in‑office (Tuesday and Thursday plus one of your choice), with the option to request extra remote time.

Equal Opportunity Employer

At Satispay, we’re proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless of race, colour, religion, sex, gender identity, sexual orientation, or national origin.