Are you passionate about translating complex data into simple, actionable insights? Do you excel at crafting easy-to-understand frameworks to tackle intricate business challenges?Are you eager to collaborate closely with managers and business partners to drive strategic decision-making through data analysis?If so, we have the perfect opportunity for you! As a Data Analyst at NKT, you will play a crucial role in developing, maintaining and implementing analytical systems and solutions,you will secure high-quality data for business decisions.

You will also be responsible for identifying, analyzing, and preparing data,utilized for metrics, reports, and KPIs, providing insights for business leadership. You will be also responsible for: Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Identify trends and opportunities for growth through analysis of complex datasets Managing master data (including creation, updates, deletion)Managing the accuracy of data (updates, deletion, creation etc.)Providing support for stakeholders of analyses and interpretations Reviewing and developing the analytical tools and solutions Data analytics as part of your DNAYou will bring min.

5 years of experience working with data analytics and data quality,including using tools such as SQL, Power Query and Power BI.

You have experience implementing data quality control and governance, and your proposals anddecisions will be based on facts.

To thrive in this role, you will be highly organized and able to manage multiple projects simultaneouslyprioritizing and recognizing business requirements Additionally, your CV includes: Proven analytical skills e.g.

data mining, evaluation, visualization SAP knowledge Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics Experience with database and model design and segmentation techniques Programming experience Hands-on experience in statistical analyses