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Hellerup, Capital Region of Denmark, Denmark
Actively hiring, first seen by us 7 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Understand business needs and translate them into data solutions
Design and develop data products that drive business decisions
Explore and transform complex data into fit-for-purpose insights
Collaborate across teams to build end-to-end solutions
Ensure data products meet governance, compliance and quality standards
Understand business needs and translate them into data solutions.
Design & develop data products that drive business value and decisions.
Explore and transform complex data into insights with fit-for-purpose analytics
Collaborate across teams to build end-to-end solutions
Ensure data products align with data governance, compliance, and quality standards
Qualifications and Skills: You hold a relevant academic degree – preferably a Master’s Degree in Data Science, Data Engineering, Computer Science or related field – and 5+years of experience within Data & Analytics. Furthermore, you have:
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Proven experience in gathering and transforming business requirements into data products - 3+ years of hands-on experience with DevOps, Databricks, dbt, Python and T-SQL - Experience in designing & delivering solutions using Power BI or similar BI platforms
- 3+ years of hands-on experience with DevOps, Databricks, dbt, Python and T-SQL - Experience in designing & delivering solutions using Power BI or similar BI platforms - Understanding of data governance, data quality, and compliance
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Are you passionate about translating data into actionable insights? Do you have experience within Data & Analytics?
If so, now is your chance to join Ascendis Pharma as our new Senior Business-oriented Data Analytics Engineer.
Ascendis Pharma is a global biopharmaceutical company committed to making a meaningful difference in patients’ lives. Guided by our core values of Patients, Science, and Passion, we are applying our innovative TransCon® technology platform to fulfill our mission of developing new therapies that demonstrate best-in-class potential to address unmet medical needs.
At our headquarters in Hellerup, Denmark, research facilities in Heidelberg, Germany, and additional offices across Europe and the United States, we are advancing programs in our Endocrinology Rare Disease and Oncology portfolios. We also collaborate with partners on the development of TransCon-based products in other therapeutic areas and markets.
We are seeking a passionate Senior Business-oriented Data Analytics Engineer to join our growing team. As a key member of the Ascendis Pharma team, you will play a crucial role in being the trusted partner to business stakeholders to enable data-driven decision-making across Drug Development Domain. This is an exciting opportunity to work in a fast-paced environment, collaborating with cross-functional, global teams working together to achieve extraordinary results.
You will be joining the Drug Development Data Domain (4D) team consisting of 3 colleagues, and report directly to People Leader in Global IT, Babak Bajelan and Global Head of Digitalization, Ivanna Rosendal who are based in Hellerup, Denmark. You will be based in Hellerup, Denmark.
Your key responsibilities will be:
Qualifications and Skills:
You hold a relevant academic degree – preferably a Master’s Degree in Data Science, Data Engineering, Computer Science or related field – and 5+years of experience within Data & Analytics.
Furthermore, you have:
Pharma domain knowledge is a plus.
Key competencies:
You are a strong team player, analytical, and have a can-do attitude.
You possess an entrepreneurial mindset and can thrive in an informal, open environment where innovation and change are key.
To succeed in this role, we also expect you to be
Travel: 10-20 days per year.
Office: Tuborg Boulevard 12, 2900 Hellerup
Apply now.
We evaluate applications when received, so we encourage you to apply as soon as possible. Please note that we conduct interviews on a rolling basis and reserve the right to remove the job posting at any time.
To ensure your application is reviewed, please submit it through the specified platform - applications sent by email or other channels will not be evaluated.
For more details about the position or the company, please contact Global Head of Digitalization, Ivanna Rosendal, imr@ascendispharma.com or People Leader in Global IT, Babak Bajelan, bab@ascendispharma.com
You can learn more about Ascendis Pharma by visiting our website www.ascendispharma.com
Applications must be submitted in English and will be treated confidentially.
A note to recruiters:
We do not allow external search party solicitation. Presentation of candidates without written permission from the Ascendis Pharma HR team (specifically from: Talent Acquisition Partner or Human Resources Director) is not allowed. If this occurs, your ownership of these candidates will not be acknowledged.
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Hellerup, Capital Region of Denmark, Denmark
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