Data Insights Manager

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 – help our future-focused business lead the way in powering secure and sustainable business connections through digital and physical channels.

We are looking for a highly motivated and strategic Data Insights Manager to lead and grow our marketing data & analytics function. In this role, you will manage a team of data professionals focused on delivering actionable insights, predictive models, and scalable data solutions that directly influence business growth and customer acquisition strategies.

This is a unique opportunity to combine team leadership with hands-on technical work , helping shape the future of data-driven marketing at Quadient. You will work across multiple systems and data sources to create a unified customer data layer that powers attribution, segmentation, propensity modeling, and ROI measurement.

Nice to have

Knowledge gaps can be filled. Even if you don’t satisfy every single requirement or meet every qualification listed, we still want to hear from you.

Responsibilities

Lead, mentor, and grow a team of data analytics engineers, data scientists, and data engineers; Develop and enhance marketing data models and predictive analytics , including attribution, audience building, and propensity modeling; Drive implementation of multi-touch attribution models for B2B marketing environments; Oversee data transformation, reverse ETL workflows, and Master Data Management (MDM) initiatives; Ensure high standards of data quality, governance, and scalable data architecture; Collaborate closely with Marketing leadership and business stakeholders to deliver actionable insights and improve targeting strategies; Contribute hands-on to technical work, including data modeling, transformation, and analytics workflows

Requirements

Proven experience leading teams delivering data engineering, analytics, or machine learning projects; Strong background in marketing analytics , especially within B2B environments; Experience with multi-touch attribution modeling and customer analytics; Strong hands-on skills in Python and SQL; Experience working with modern data stacks such as GCP, BigQuery, DBT, Dagster , or similar tools; Knowledge of data warehousing, reverse ETL, and data transformation processes; Experience with Tableau or similar BI tools; Excellent communication and stakeholder management skills, with the ability to translate complex data into business insights; Strong analytical thinking, organizational skills, and ownership mindset

Nice to have

Experience with Machine Learning, propensity modeling, or AI-driven MDM solutions; Familiarity with CDP platforms such as Segment, Hightouch, or Eloqua; Experience integrating data across multiple CRMs and ERPs

Benefits

Flexible Work: Embrace a hybrid work model blending office and remote setup for a balanced lifestyle.; Endless Learning: Access global opportunities for growth through our 24/7 online learning platform.; Inclusive Community: Join our Empowered Communities and engage in our Philanthropy program.; Comprehensive Rewards: Enjoy competitive Total Rewards covering wellness, work/life balance, and more, including a generous referral scheme.; Caring for Wellbeing: Access our complimentary employee assistance program for mental health support.