Head of Data Analytics at lastminute.com

Chiasso, Ticino, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, People Management, Data Engineering, Business Analytics, Data Analytics, Mentorship, Data Strategy, Data Mesh Architecture, Governance, Project Management, Agile Methodologies, KPI Definition, Cross-Functional Collaboration, AI Projects, Predictive Analytics, Continuous Improvement

Industry

Software Development

Description

Company Description At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world. Job Description We are looking for a Head of Data Analytics to join our company of around 1,700 people worldwide to help us power up the traveller's 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 and deploying resources and technical knowledge, reporting to Chief Data Officer Location - Chiasso Contract - Permanent full-time (EUR 36 h/week) Qualifications 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. 2. 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, analyze, and act on data insights, fostering a culture of data-driven decision-making throughout the company. 3 Data Strategy: • Develop and lead the execution of a long-term data strategy that aligns with the organization’s business goals, ensuring scalability, security, and compliance across all data operations. • Drive the decentralization 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. 4. 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 prioritize tasks and optimize 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. 5. 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 organization 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. 6. Continuous Improvement & Innovation: • Encourage continuous learning and the adoption of new tools and methodologies within the data and AI teams, ensuring that the organization 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 organization. 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 content Wish you were here? We do, too! Selection process steps*: HR interview (10-30 minutes) 1st interview (Manager + HRBP): soft skills + technical knowledge 2nd interview (Manager + HRBP + Director) Offer extended (*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview) Our commitment to celebrate diversity and generate belonging At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel. Eligibility by criteria: By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status. Department: Data

Responsibilities

The role involves leading and managing a large cross-functional team of 51 data professionals, fostering a high-performance culture, and driving the strategic scaling of data initiatives across the organization. This includes developing a long-term data strategy, implementing a Data Mesh architecture, and leading data and AI projects to deliver measurable business outcomes.