Data Insights Manager- remote

At Quadient, we support businesses of all sizes in their digital transformation and growth journey, unlocking operational efficiency with reliable, secure, and sustainable automation processes. Our success in delivering innovation and business growth is inspired by the connections our diverse teams create every day—with our clients and each other. It’s these connections that make Quadient such an exceptional place to grow your career, develop your skills, and make a real impact. Join us as we power secure and sustainable business connections through digital and physical channels.

We are looking for a Marketing Insights Manager to lead a talented team of data analysts and data scientists. This role is at the heart of our data-driven marketing strategy, focused on delivering high-impact insights and predictive models that shape the way we engage with customers and drive measurable business outcomes.

This position can be based in the Czech Republic, UK or Spain and reports into our global marketing organization.

• Lead and mentor a team of 5 data analysts and data scientists focused on delivering actionable insights and building marketing models.

• Oversee the development, validation, and deployment of predictive models such as:

  • Propensity to buy

  • Churn prediction

  • Customer lifetime value (CLV)

  • Enterprise Marketing Attribution

  • Target Account Lists

• Ensure data models are scalable, consistent, and relevant across multiple business units.

• Collaborate closely with Marketing leadership to identify business needs and develop insights that guide campaign strategies, segmentation, and targeting.

• Guide the creation of intuitive dashboards and reports using Tableau to support decision-making across global teams.

• Champion high standards of data governance, model performance, and long-term sustainability.

• Promote a data-first culture and help evolve our approach to marketing analytics across the organization.

• Master’s degree in Data Science, Statistics, Computer Science, or a related field.

• Proven experience in a senior-level data insights or reporting role, ideally within marketing or customer analytics.

• Demonstrated success in leading high-performing analytics teams and managing complex modeling projects.

• Proficiency in statistical modeling, machine learning, and data storytelling.

• Expertise in Python, R, or SQL, with hands-on experience using Tableau or similar visualization tools.

• Exceptional communication skills—able to simplify and clearly explain complex technical findings to non-technical audiences.

• Strong organizational, analytical, and project management skills.

Don’t meet every single requirement? That’s okay. If you’re passionate about data and leadership, we still encourage you to apply.

Turn your passion into performance. Apply now.

• Flexible Work: Embrace a hybrid or remote work model for a balanced lifestyle.

• Endless Learning: Access development opportunities via our 24/7 online learning platform.

• Inclusive Community: Be part of a global, diverse, and open-minded team.

• Comprehensive Rewards: Enjoy competitive Total Rewards, including wellness programs and a generous referral scheme.

• Caring for Wellbeing: Access our free employee assistance program for mental health support.

Our values define how we work: Empowerment, Passion, Inspiration, and Community. They inspire us to be EPIC. Together. We celebrate diverse perspectives, encourage open minds, and value every voice. When you connect with Quadient, you join a community that cares.

We will consider any reasonable accommodations needed for the recruitment process. Please email us at [email protected] if you require support.

Quadient is an Equal Employment Opportunity Employer*: We are committed to being an inclusive employer. We encourage applications from all qualified individuals, regardless of race, religion, gender, sexual orientation, age, disability, or background.

This includes being an Affirmative Action Employer in the United States.

People. Connected.