Data & Analytics Specialist
We are seeking a motivated and skilled Data Analyst Associate with 2-3 years of experience to join our dynamic team. The ideal candidate will possess strong expertise in Power BI, Python, SQL, and fundamental Data Warehouse and Database concepts. Additionally, experience with Microsoft Azure services such as Azure Data Factory (ADF), Databricks, Data Lake, and Azure Data Lake Storage is highly desirable.
What we ask
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- 2-3 years of experience in data analysis, with a strong focus on Power BI, Python, and SQL.
- Solid understanding of Data Warehouse and Database concepts.
- Experience with Microsoft Azure services such as ADF, Databricks, Data Lake, and Azure Data Lake Storage is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Proven ability to manage multiple projects and meet deadlines.
- PL-300 / Power BI certified is a must have.
What we offer
- Collaborative Work Environment: Join a dynamic and inclusive team, either hybrid (at least 2 days office) or at our state-of-the-art office, where your ideas and contributions are valued.
- Personal Development: Access to continuous learning opportunities, including professional training, certifications, and mentorship programs to advance your career.
- Competitive Compensation & Benefits: Enjoy a competitive salary package, comprehensive health benefits, and flexible work arrangements to support your work-life balance.
- Impactful Work: Engage in meaningful projects that drive business transformation and innovation, allowing you to make a significant impact in the world of Data & Analytics.
- Supportive Colleagues: Work alongside a team of experienced professionals who are passionate about data and committed to helping each other succeed.
Vacancy description
- Develop, maintain, and enhance Power BI dashboards and reports to support business decision-making.
- Utilize Python for data manipulation, analysis, and scripting to automate tasks and workflows.
- Write and optimize SQL queries for data extraction, transformation, and analysis.
- Understand and apply Data Warehouse concepts to ensure data integrity and efficiency.
- Work with Azure Data Factory (ADF) to design and implement data integration solutions.
- Leverage Databricks for advanced data processing and analytics.
- Manage and maintain data in Azure Data Lake and Azure Data Lake Storage.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Assist in troubleshooting and resolving data-related issues.
- Stay up-to-date with the latest trends and best practices in data analytics and cloud technologies.
Team Details
See all colleagues on LinkedInFor thousands of people every day, we are more than just a dairy company. To our farmers, our employees, the communities we serve, the businesses we work with and the people to whom we bring happiness, FrieslandCampina means something more. For them it's not just about what we do, but who we are.
We value talented people from any background who want to contribute to something bigger than themselves. We encourage all of our employees to make decisions that benefit our entire company. At FrieslandCampina we own our own career and act accordingly. We trust you to make a difference in your job and influence the bigger picture. Working at FrieslandCampina means you are contributing to a better world.
You'll be part of Global Power BI COE where you'll help in Power BI Adoption through out the organisation as well as helping building capabilities, implementing Power BI Best Practices and Design Principles. You'll also participate in different training programs as well as internal projects.
Team is currently compromises of 8-10 members who are working from different locations from Europe and Asia. This team develop and maintain architecture for the front-end capability, design principles and best practices. Also, deliver trainings and build in house data & analytics solutions for front-end.