Qiagen

(Associate) Specialist, Data Analyst & Analytics Engineering

Poland · On-site · Full time

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EmployerQiagen
LocationPoland
Work styleOn-site
Employment typeFull time
Employer posted13 Aug 2026

Overview

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

We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our current global presence, we've grown into a force for positive change. With thousands of employees across six continents, collaboration is our greatest strength. We’re always striving to identify talented 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!

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