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(Associate) Specialist, Data Analyst & Analytics Engineering
Reads like an Analyst role: dashboards and reporting.
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
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
What you’ll work on
Full postingAs 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.
Deliver analytics and insights on marketing, customers, portfolios and digital channels
Build dashboards and reports for self-service analytics
Use SQL and Python to transform, automate and optimize data workflows and ETL
Build and maintain data products such as the contact DataMart
Support campaign setup, audience selection and lead processing
From the employer’s posting
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.
Deliver analytics and insights across marketing activities, customer segments, product portfolios, and digital channels
Build dashboards and reports, that enable efficient self-service analytics for marketing and commercial teams
by using SQL and, Python to transform, automate, and optimize data workflows, ETL processes, and analytical datasets
by building, maintaining or enhancing our data products, such as our contact DataMart
Support campaign and marketing operations by contributing to campaign setup, audience selection, and lead processing
Education & alternatives
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
Benefits in the posting
Full benefits wording- 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
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Aug 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Qiagen is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Power BI
Where the posting names them
- 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
- 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
- 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
Your next step
Complete your application on qiagen.wd502.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
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- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Analyst roles
New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
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.
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!
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Wroclaw
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.