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Data Analyst

Data Engineer/Data Analyst – Microsoft Fabric, Analytics and Insights, GN Group

 

Are you interested in a position within an analytics team, actively engaged in shaping the way our business interacts with data — from building the underlying dataflows to creating meaningful data products for insights that influence business decisions? This role is a hybrid of practical data engineering and insights generation, with a special focus on supporting the team's adoption of Microsoft Fabric and enhancing self-serve analytics capabilities.

 

In the role as Data Analyst you will contribute to our purpose of Bringing People Closer.

 

As our new Data Engineer, you will contribute to our purpose of Bringing People Closer. You will be working closely with the IT department, data analysts in your team and business experts. Your primary responsibility will be to deliver a robust data foundation that enables your colleagues to develop valuable insights for business stakeholders.

The team you will be part of     

At our global HQ, located in Ballerup, Denmark, you will be part of the Analytics and Insights team within the Global Customer Experience (GCX) function. The team consists of five data analysts with skills in data engineering, modelling, insights development, process automations, advanced analytics and user adoption. We provide actionable insights within our own function, external GN departments and are closely collaborating with other BI teams across the organization.

This is a team where personal development is highly valued, collaboration is actively encouraged and supported, and new ideas are always listened to. We have adopted the new technologies and processes while organizing our work in a structured and governed way.

 Your contribution is appreciated, and you will:

  • Coordinate the integration and adoption of Microsoft Fabric within the BI team.
  • Design and implement a lakehouse framework for the department.
  • Build robust, reusable pipelines and transformations in Fabric.
  • Support data governance, lineage, and workspace structures across business units.
  • Manage, evaluate, and validate data from various sources to ensure data quality and integrity.
  • Champion best practices around data modeling, naming conventions, semantic layer design.
  • Work with stakeholders to understand data requirements, ensure data flow improvements, and develop scalable and re-usable data products.
  • Manage and maintain the team’s Git repository.
  • Translate business requirements into data model designs and technical specs for BI backend developers.
  • Analyse data from a business perspective, create insights and produce reliable and actionable recommendations for GCX Management and key business stakeholders.
  • Manage data-centric initiatives within GCX and offer authoritative guidance on issues pertaining to data.

Your personal and professional journey is valuable to us, and we consider the following factors as possible contributors to a mutually beneficial partnership. You have:

  • Solid experience with data engineering tools (ETL/ELT pipelines, data transformations, data modelling).
  • In-depth experience with or a keen interest in Microsoft Fabric.
  • Proficiency in SQL, especially Python, and Spark for data transformations.
  • Solid working knowledge of Power BI, including DAX, Power Query, and dataset optimization.
  • Experience using Git for version control.
  • Thorough experience with designing and structuring data for efficient querying and analysis.
  • Effective communication skills, stakeholder management abilities and ability to collaborate across the organization.
  • Capacity for self-guided work and collaboration within a group setting.
  • A relevant higher education degree in IT, engineering, or other relevant fields of studies.
  • A genuine interest in data and a mindset of continuous learning and upskilling — whether it's exploring new tools, staying current on platform updates, or sharing knowledge with the team. 

We encourage you to apply

Even if you don’t match all the above-mentioned skills, we will gladly receive your application if you think you have transferrable skills. We highly value a mindset and motivation that aligns with our core values, to not only ensure progress for you, but for your team and the wider GN organization as well.

We are dedicated to an inclusive recruitment process

All applicants will receive equal consideration for employment. As such, we encourage you to submit your CV without a photo to ensure an equal and fair application process.

Should you have any special requirements for the Interview please let the hiring manager upon accepting invitation to interview.

How to apply?

Use the ‘APPLY’ link no later than 30 of April 2025. Applications are assessed on a continuous basis, so don’t wait to send yours. 

If you would like to know more about the position, please contact Manager of the Analytics and Insights team on +45 28 27 01 27 or Talent Attraction Partner at: aniewiadomy@gn.com 

 

Join us in bringing people closer

GN brings people closer through our innovative intelligent hearing, audio, video, and gaming solutions. Inspired by people and driven by innovation, we deliver technology that enhance the senses of hearing and sight. We help people with hearing loss overcome real-life challenges, improve communication and collaboration for businesses and provide great experiences for audio and gaming enthusiast.

 

We hope you will join us on this journey and look forward to receiving your application.

#LI-GNGroup

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What You Should Know About Data Analyst, gn

Are you a data enthusiast looking to make a significant impact at GN Group as a Data Analyst? Based in the scenic Ballerup, this role blends practical data engineering skills with insights generation, particularly through the innovative Microsoft Fabric platform. In this vital position within the Analytics and Insights team, you’ll be collaborating closely with IT and business experts to craft meaningful data products that drive business decisions. You’ll have a chance to showcase your talents by building and integrating robust data pipelines while supporting the adoption of Microsoft Fabric across the BI team. Expect to design a lakehouse framework, champion best data practices, manage various data sources ensuring quality and lineage, and translate business needs into actionable insights. You’ll also help to maintain a Git repository and will play a crucial role in enhancing self-serve analytics capabilities. What makes this role special is our commitment to personal development and collaboration, where new ideas and fresh perspectives are embraced. If you hold a relevant degree and come with experience in data engineering tools and knowledge of SQL, Python, Power BI, and Git, then we want to hear from you! At GN Group, we value mindset over mere qualifications and encourage those with transferable skills to apply. Join us in our mission to bring people closer through technology that truly enhances lives!

Frequently Asked Questions (FAQs) for Data Analyst Role at gn
What are the main responsibilities of a Data Analyst at GN Group?

As a Data Analyst at GN Group, your primary responsibilities include designing and implementing a lakehouse framework, building robust data pipelines, managing data governance, and translating business requirements into effective data model designs. You will work closely with stakeholders to ensure that data quality is maintained while creating impactful insights that drive business strategies.

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What qualifications are required for the Data Analyst role at GN Group?

To qualify for the Data Analyst position at GN Group, candidates are expected to have a higher education degree in IT or a related field, solid experience in data engineering, and proficiency in SQL, Python, and Power BI. Additionally, a keen interest in Microsoft Fabric and effective communication skills are essential to collaborate successfully across teams.

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How does collaborative teamwork function within the Data Analyst unit at GN Group?

Collaboration is at the heart of the Data Analyst team at GN Group. As part of the Analytics and Insights team, you’ll work with five other data analysts, IT professionals, and business experts, leveraging each other's strengths to enhance the self-serve analytics capabilities and foster an innovative environment where new ideas are welcomed and encouraged.

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What tools and technologies will a Data Analyst at GN Group work with?

In the role of Data Analyst at GN Group, you'll work with a variety of tools and technologies including Microsoft Fabric for data processing, SQL for database management, Python for advanced data transformations, and Power BI for data visualization. Familiarity with Git for version control is also a key component of the daily toolkit.

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Why is experience with Microsoft Fabric important for the Data Analyst role at GN Group?

Experience with Microsoft Fabric is particularly important for the Data Analyst role at GN Group as you will be tasked with coordinating the integration and adoption of this platform within the BI team. Your knowledge of the technology will directly impact the delivery of robust data products and enhance overall data analytics capabilities across the organization.

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Common Interview Questions for Data Analyst
Can you explain a data pipeline you've built and the technologies you utilized?

Begin with a concise overview of the pipeline, focusing on the data sources, transformation processes, and the final output. Highlight the technologies you've used, such as Python for ETL tasks and Power BI for visualizing the results, while discussing how it contributed to business insights.

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How do you ensure data quality and integrity in your analyses?

Discuss your workflow for evaluating and validating data from various sources, including the use of automated checks and balances, error handling procedures, and how you document data lineage to ensure transparency and reliability in your analytics.

Join Rise to see the full answer
Describe a time when you had to translate complex business requirements into technical specifications.

Illustrate your thought process by detailing a particular scenario where you worked closely with stakeholders to gather requirements, the steps you took to analyze their needs, and how you ultimately created a data model that fulfilled those demands effectively.

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What approach do you take when collaborating with cross-functional teams?

Talk about your tenacity in building relationships, actively listening to different stakeholders, and communicating complex data concepts in an understandable manner. Stress the importance of regular check-ins, feedback loops, and shared goals for successful outcomes.

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Can you give an example of a data project where you implemented best practices around data modeling?

Share a specific project highlighting the data model’s design, the principles you applied, and how adherence to best practices resulted in clearer data flows and more efficient querying. It should reflect your attention to greater accessibility and usability of the data for end-users.

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What do you see as the most important skills for a Data Analyst working at GN Group?

Articulate the key skills such as analytical thinking, problem solving, strong proficiency in data tools, and effective communication. Emphasize how these skills collectively contribute to making informed decisions and delivering actionable insights to drive business strategies.

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How have you kept updated with advancements in data analytics tools and technologies?

Mention specific resources, such as online courses, webinars, industry blogs, or forums you follow. Discuss your commitment to continuous learning and professional development, showing prospective employers your dedication to maintaining competency in an ever-evolving field.

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What challenges do you expect to face in this role, and how would you overcome them?

Be honest about potential challenges, such as managing data from diverse sources or implementing new technologies. Share your strategies for overcoming these, including proactive learning, embracing feedback, and constantly seeking collaboration with teammates.

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What data visualization techniques do you prefer to use in Power BI and why?

Discuss your preferred techniques based on the nature of the data and the audience’s need. Consider mentioning how you prioritize clarity and actionable insights in your visualizations, making complex information both accessible and understandable.

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How do you manage your time and prioritize tasks when working on multiple projects?

Highlight your organizational strategies, such as using project management tools, setting clear deadlines, and maintaining flexibility to adjust priorities as needed. This demonstrates your capability to manage competing demands effectively.

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DATE POSTED
April 11, 2025

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