(Associate) Specialist, Data Analyst & Analytics Engineering

Overview

At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible.

We’rededicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we'vegrown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We’realways striving to identifytalented individuals to join our exceptional teams.

We have played a pivotal role in shaping modern science and healthcare, and we're just getting started. If you're someone who thrives on new challenges, values diversity and wants to make a tangible difference in people's lives, then QIAGEN is the place for you.

At QIAGEN, every day is an opportunity to make a real-life impact.

Join us, grow with us, and together, let's shape the future of biological discovery.

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About the Role

As an (Associate) Specialist, Data Analytics & Analytics Engineering, you will support data-driven decision-making across QIAGEN’s global marketing and commercial organization.

Working within the Marketing Analytics, Research & TechOps team, you will help turn data into actionable insights, scalable reporting, and reliable data products. The role spans marketing, customer, portfolio and commercial analytics, dashboarding, data automation, and the further development of our data products.

Depending on your strengths, experience and QIAGEN’s business needs, your focus may be more analytical, more technical, or a combination of both.

Your Responsibilities

• Deliver analytics and insights across marketing activities, customer segments, product portfolios, and digital channels to support data-based business decisions

• Build dashboards and reports, that enable efficient self-service analytics for marketing and commercial teams

• Support data processes, automation, and analytics engineering by using SQL and, Python to transform, automate, and optimize data workflows, ETL processes, and analytical datasets

• Contribute to key projects by building, maintaining or enhancing our data products, such as our contact DataMart, turning data into business value

• Support campaign and marketing operations by contributing to campaign setup, audience selection, and lead processing

Your Profile

• University degree, or final-year student, in data analytics, business, economics, marketing, computer science, mathematics, engineering, sciences or a related field, Master’s degree preferred

• 1+ years of experience in data analytics, analytics engineering, data automation, reporting, or a related area

• Good SQL skills; Python experience for automation, data processing, validation, or analytics workflows

• Good understanding of data models, KPIs, reporting logic, analytical datasets, and how data supports business decision-making

• Experience with dashboarding tools, especially Power BI, CRM or marketing automation platforms is a plus

• Strong analytical mindset, attention to detail, collaborative, proactive, and comfortable working in an international, cross-functional environment

• Very good English skills, written and spoken.

What we offer

• Private medical care

• Group Life Insurance

• Multisport card

• Flexible benefits platform

• Language classes

• Pension Scheme (PPE) after 12 months

• Childcare subsidy

• Training and development programs

• Happy Monday (snacks provided)

• Attractive location (Sky Tower)

• Hybrid work (conditional to your role)

Our people are the heartbeat of everything we do. Passion drives us as we push boundaries to innovate and evolve. We inspire with our leadership and make an impact with our actions. We cultivate a collaborative, supportive environment where each individual and team can flourish. We champion accountability and encourage entrepreneurial thinking.

QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, or disability.

Please make sure to send an English version of your CV!