Data Product Analyst
7 months ago
Analyse data to turn it into meaningful information that the business can use to improve and grow. Working closely together with the Technical Product owner to deliver features of the broader Analytics product.
What we ask
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- A minimum of 5 years of experience in a technical product management role in data analytics.
- Proven experience of analysing data (e.g. via SQL, python, or similar ways).
- Able to create visually appealing, meaningful, and easy-to-interpret graphs.
- Able to differentiate between patterns that are important for business and findings that are not worth the time of data experts and decision-makers.
- Strong knowledge of business templates to make them data-driven and insight-led.
- Aware of modern technologies that can support further automation of development and processes.
- Good knowledge of business processes that affect the own discipline.
- Experience in Cloud Platforms, specifically Microsoft Azure Databricks, and proficiency in visualisation (PowerBI) or querying (SQL, python) tools, is highly advantageous.
What we offer
FrieslandCampina offers you a place to be yourself. In an innovative work environment with facilities and support that are second to none, we welcome your skills, ideas and passion. Most of all we welcome you as the person you are and the person you want to be. Our mission is to liberate people to work smarter. Our reward policies support FrieslandCampina’ s values and business strategy by helping to attract, engage and retain the best possible talent at every level. We offer remuneration packages that recognize and reward individual performance, experience and potential, while reflecting competitive practices in all the countries in which we operate. A transparent, consistent and fair approach to reward is critical to our success and growth.
- Vacancy description- Deliver analysis and execution that considers the interaction between process, data and technology and enables harmonised datasets for business use cases
- Pioneer product development via analysing and interpreting datasets to create insights and improve analytics products
- Deliver features of the broader analytics product
- Review data to identify key insights for business users and ways the data can be used to solve problems.
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