Join our innovative team at NAN Analytics as a Senior Analytics Engineer, where you'll design and implement advanced data analytics solutions to drive business insights and optimize performance in a dynamic environment.

As a Senior Analytics Engineer at NAN Analytics, you will play a pivotal role in transforming raw data into actionable insights that empower our clients to make data-driven decisions. You will collaborate with cross-functional teams to build scalable data pipelines, develop advanced analytics models, and integrate machine learning solutions to enhance our analytics platform.

Key responsibilities include:

• Designing and optimizing data architectures for high-volume, real-time data processing
• Leading the implementation of analytics projects from conception to deployment
• Mentoring junior engineers and conducting code reviews to ensure best practices
• Analyzing business requirements and translating them into technical specifications
• Staying abreast of emerging trends in data analytics and proposing innovative solutions

Our company is at the forefront of data-driven innovation in the software and IT sector, serving clients across Europe with cutting-edge analytics services. If you are passionate about leveraging data to solve complex problems and thrive in a fast-paced, remote-friendly setting, this is your opportunity to make a significant impact.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 5+ years of experience in analytics engineering, with expertise in SQL, Python, and data warehousing tools like Snowflake or BigQuery
• Proficiency in ETL processes, data modeling, and visualization tools such as Tableau or Power BI
• Strong understanding of cloud platforms (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop)
• Excellent problem-solving skills and experience with agile methodologies
• Fluency in English; German language skills are a plus

• Competitive monthly salary with performance bonuses
• Comprehensive health insurance and wellness programs
• Flexible remote work options and professional development opportunities
• Generous vacation policy (30+ days) and parental leave
• Collaborative team environment with access to cutting-edge tools and technologies
• Relocation assistance for international candidates