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Head of Data Analytics

Job in 6850, Mendrisio, Ticino, Switzerland
Listing for: lastminute.com
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 36 EUR Hourly EUR 36.00 HOUR
Job Description & How to Apply Below

We are looking for a Head of Data Analytics to join our company of around 1700 people worldwide to help us power up the travellers journey for millions of holidaymakers. We're looking for an exceptional people leader to scale our data organization and drive data-driven transformation across the business. If you excel at building high-performing teams navigating complex stakeholder landscapes and translating data capabilities into business value this role is for you.

The

job in brief

Job Title
Head of Data Analytics

Model – hybrid from Switzerland

Team – you will join the Data Analytics area within the Data department.

Level – Managerial and Tech leading with accountable for managing people, setting direction, deploying resources and technical knowledge, reporting to Chief Data Officer.

Location – Chiasso

Contract – Permanent full-time (EUR 36 h/week)

What your impact will be Leadership & People Management

Lead and manage a cross-functional team of 51 data professionals including:

  • Data Engineers
  • Business Analytics
  • Data Analytics

Foster a high-performance culture by providing mentorship and leadership to the team, encouraging continuous learning, innovation and collaboration.

Develop clear career paths and growth opportunities for team members, ensuring strong retention, upskilling and professional development across all levels.

Driving Data Value & Function Scaling

Drive the strategic scaling of data initiatives by leading the continuous evolution of data management approaches to ensure efficiency and business value.

Identify and remove bottlenecks in data workflows ensuring that data accessibility and agility are optimized across the organization.

Streamline data processes to allow faster, more accurate insights and real‑time decision‑making.

Implement self‑service data platforms to enable business teams to autonomously access, analyse and act on data insights, fostering a culture of data‑driven decision‑making throughout the company.

Data Strategy

Develop and lead the execution of a long‑term data strategy that aligns with the organisation’s business goals, ensuring scalability, security and compliance across all data operations.

Drive the decentralisation of data ownership by implementing a Data Mesh architecture, empowering domain teams to manage their data effectively while maintaining strong governance and data quality standards.

Project Management & Coordination

Lead cross‑functional data and AI projects ensuring on‑time delivery and alignment with strategic business goals.

Implement Agile project management methodologies to prioritise tasks and optimise resource allocation across the data and AI teams.

Define KPIs and performance metrics for data and AI initiatives, ensuring that projects deliver measurable business outcomes.

Cross‑Functional Collaboration & Data‑Driven Culture

Collaborate with senior business leaders across departments (e.g. finance, marketing, sales and operations) to align data strategies and AI innovations with business needs.

Promote a data‑first culture across the organisation by providing key stakeholders with real‑time insights and predictive analytics to support business growth and efficiency.

Act as a strategic advisor to senior leadership, providing recommendations on how to leverage data and AI to create competitive advantages and drive business innovation.

Continuous Improvement & Innovation

Encourage continuous learning and the adoption of new tools and methodologies within the data and AI teams, ensuring that the organisation is always positioned to leverage the latest advancements.

Optimize data operations and workflows consistently, seeking opportunities to improve efficiency, reduce costs and enhance the delivery of insights across the organisation.

Additional Information Perks of working with us

How we work together:
An inclusive friendly and international environment (you’ll be working with colleagues from 10 countries and over 48 nationalities).

How we learn together:
Professional and managerial skills development training paths, access to e‑learning platforms such as O’Reilly, Udemy, Coursera (depending on the department) and to our internal platform offering bespoke training…

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