Junior Analytics Engineer

This position is for a Junior Analytics Engineer who will learn and contribute to the core of our Business Intelligence platform. You will assist our senior engineers in transforming raw data into clean, reliable, and analytics-ready datasets. Under the guidance of our BI leadership, you will learn to build and maintain the semantic layer that powers our data-driven decisions. The right candidate will be a curious, fast learner with a strong analytical mindset, excited by the opportunity to grow into a skilled Analytics Engineer.

Responsibilities:

• Contribute to dbt Models: Assist in developing, testing, and deploying data transformation models using dbt to turn raw data into clean, structured data marts.
• Support LookML Development: Learn and assist in the development and maintenance of our Looker semantic layer, including views and Explores.
• Support Business Requirements: Help translate business requirements into technical specifications for data models.
• Data Quality and Documentation: Assist in implementing data quality tests and writing clear documentation for data models and transformations.
• Troubleshoot and Collaborate: Work with the team to investigate data discrepancies, troubleshoot issues, and support Data Analysts and business users with their data questions.
• Learn and Grow: Actively learn our data stack, including dbt, Looker, and Google Cloud Platform, and contribute to the team's success.

Requirements:

• At least 1 year of hands-on experience in a data-focused role, involving direct work with data collection, cleaning, analysis, and visualization using tools such as SQL, Python, R, or similar.
• Strong SQL Proficiency: Proficient in writing SQL for data manipulation and analysis. This is a must-have foundational skill.
• Analytical Mindset: A logical and curious approach to problem-solving, with a keen eye for detail.
• Eagerness to Learn: A passion for data and a strong desire to learn new technologies and develop your skills in a fast-paced environment.
• Familiarity with BI & Data Tools: Familiarity with or a strong interest in learning modern BI tools like Looker and data transformation tools like dbt is a huge plus.
• Data Concepts Understanding: A foundational understanding of data warehousing and data modeling concepts is desirable.
• Version Control: Familiarity with Git for version control is a plus.
• Problem-Solving Skills: A strong desire to investigate issues and find effective solutions.
• English Proficiency: Excellent written and verbal English communication skills.

Benefits

• 25 Days of Annual Leave: As a full-time employee, you will receive 25 days of paid holiday each year, with the flexibility to buy or sell up to 4 additional days to meet personal needs.

• Hybrid Work Model: We offer a flexible hybrid work environment, enabling you to seamlessly balance office and remote work to enhance productivity and work-life balance.

• Work From Abroad: Take advantage of the opportunity to work remotely from abroad for up to 2 weeks annually.

• International Work Environment: Join a dynamic, global team that fosters collaboration and cultural diversity, providing you with a rich and inclusive professional experience.

• Partial Travel Allowance: Benefit from a partial travel allowance to support your commuting costs, ensuring your journey to and from work is more affordable.

• Hunkemöller Academy: Gain access to our Hunkemöller Academy, offering a wide range of professional development programs to support your career growth and skill enhancement.

• Employee Discounts: Enjoy a 25% discount on all company products, allowing you to access our offerings at a reduced price.

Apply now with your CV (in English) or LinkedIn profile only.

For this role, we're not looking to work with external agencies. Any unwarranted sharing of CVs will be considered a NO FEE applicant.

Hunkemöller is looking for an enthusiastic and motivated Junior Analytics Engineer to join our growing data team. This is a fantastic opportunity for someone with a passion for data to learn and develop their skills in a modern data environment, working with cutting-edge tools like dbt, Looker, and Google BigQuery.