Lead Analytics Engineer (m/f/d)

Global Role | Microsoft Fabric | Power BI | Data Leadership

Ohly is one of the world’s leading suppliers of yeast‑based specialty ingredients for the global food, fermentation, feed and health market. It is part of the ABF Ingredients group (ABFI), providing specialty ingredients to a variety of segments including Food, Beverage, Nutrition, Feed and Pharma.

Within the model of devolved autonomy operated by ABF, Ohly develops and implements its own strategy and accounts for its own business success. This empowers our people with great freedom and independence. While enjoying all of the benefits and opportunities that belonging to a global group brings, meaning that individuals and teams can make a real difference within this operating culture.

Lead Analytics Engineer (m/f/d)

This role blends technical excellence with analytics leadership, ensuring our data products are consistent, scalable, and aligned with business needs. You will shape and scale our global analytics capabilities while staying hands‑on in building modern data solutions.

The Role & Your Tasks

Leadership

• Lead and grow our global Power BI community
• Coach, mentor, and upskill distributed analytics teams using structured enablement approaches
• Act as a global point of contact for analytics best practices and governance

Technical & Specialist Responsibilities

• Drive the evolution of analytics and reporting capabilities across the organization
• Define and implement best practices for data modeling, analytics development, and reporting standards
• Ensure KPI consistency and metric accuracy across business domains
• Design and build scalable semantic models and enterprise datasets
• Develop impactful Power BI dashboards and analytical solutions
• Build and maintain data transformations and analytics datasets within our platform
• Contribute hands‑on within a dedicated business domain
• Collaborate with the Microsoft Fabric platform team to align with architecture standards
• Guide onboarding of new analytics initiatives and data sources
• Act as an escalation point for complex analytics challenges
• Drive documentation, governance, and sustainable development practices
• Partner with business stakeholders to translate needs into scalable data solutions
• Work cross‑functionally with global teams across regions

Your Profile

• Bachelor’s degree in Information Systems, Data Analytics, or a related field
• 5+ years of hands‑on experience with Microsoft Fabric (Lakehouse, Delta Lake, Dataflows, Notebooks)
• Experience in modern data platforms (Fabric, Azure, or similar)
• Advanced Python skills for data pipelines, transformations, and automation
• Strong SQL and ETL/ELT experience
• Proven track record of building enterprise‑level semantic data models
• Experience in data governance, metadata standards, and data quality frameworks
• Exposure to AI‑enabled analytics (e.g., anomaly detection, AI insights, generative AI in BI)

Methodological Strength

• Ability to translate business needs into scalable analytics solutions
• Structured approach to data modeling and reusable datasets
• Strong understanding of data quality, KPI harmonization, and governance
• Experience organizing analytics development processes (versioning, documentation, maintainability)
• Ability to coordinate initiatives across multiple domains and regions

Personal Skills

• Strong analytical and problem‑solving mindset
• Excellent communication—able to explain complex topics clearly
• Collaborative and team‑oriented with global stakeholders
• Passion for mentoring and enabling others
• Organized, detail‑oriented, and quality‑driven
• Proactive, solution‑focused, and capable of managing multiple priorities

Additional Information

• This is a global role requiring collaboration across time zones
• Flexible working hours are expected, including regular overlap with US business hours

What we offer

• Located in the center of Hamburg (connection to public transport)
• Attractive remuneration
• Participation in the bonus program
• Subsidy for the HVV ProfiTicket
• Opportunity for further training and individual development
• Mobile work possible at times
• Free fruit, water and coffee