Senior Business Data Analyst

About the role

We are looking for a (Senior) Business Data Analyst to take end-to-end ownership of data and analytics initiatives, from early problem framing to delivery and adoption, starting April-May 2026.

You’ll work closely with customers to turn complex questions into smart, actionable solutions - whether through dashboards, prototypes, or full-scale products. This role is perfect for someone who enjoys connecting business and tech, spotting opportunities in data, and driving real impact.

In this role you will

• Own or support analytics and data-driven initiatives end-to-end, including problem definition, solution design, prioritization, delivery, and stakeholder alignment.
• Partner with business and technical stakeholders to translate ambiguous or high-level needs into clear analytical approaches and tangible outcomes.
• Deep dive into large and complex datasets, ensuring data quality, integrity, and usability, using appropriate data analytics tools (e.g., SQL, Python), web analytics (e.g., Google Analytics, Webtrends), cloud services (e.g., Azure, GCP, AWS), and BI solutions (e.g., Tableau, PowerBI, Looker).
• Identify opportunities where data, advanced analytics, or automation can meaningfully improve business processes or unlock new value.
• Participate in or guide or the transition of prototypes, PoCs, or PoVs into reliable, maintainable production solutions in collaboration with Data Engineers and Data Scientists.
• Contribute to the design of data pipelines, analytical models, and GenAI-enabled solutions where appropriate, with a focus on business relevance.
• Anticipate customer and stakeholder needs, challenge assumptions with data, and ensure solutions are adopted and understood.
• Share knowledge and best practices with peers and junior colleagues; at senior level, actively mentor others and support their development.
• Continuously assess new tools, technologies, and methodologies for their practical value, and contribute to project planning and business case development.

What skills should you have?

Required experience and skills

• Typically 2-5+years of experience delivering data, analytics, or business intelligence solutions, with increasing ownership and stakeholder responsibility.
• Strong SQL skills and experience with complex and large datasets

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• Experience translating business problems into analytical solutions that influence decisions and outcomes
• Hands-on experience working in cloud-based analytics environments (e.g., Azure, GCP, AWS) and modern BI tools (e.g., Tableau, Power BI, Looker).
• Clear communication skills and comfort working with both technical and non-technical stakeholders.

Depending on your experience, you may also bring:

• Ownership of complex, ambiguous analytical problems and projects.
• Solid understanding of advanced analytics concepts, and a working knowledge of data engineering, machine learning, and GenAI solutions sufficient to collaborate effectively with specialists.
• Experience contributing to business cases, understanding user needs, and identifying opportunities for improvement.
• Experience acting as a point of escalation in analytics projects.
• Mentoring or coaching of less experienced colleagues.

The following skills and experience would also be an asset:

• Experience working in agile environments (e.g. Scrum), including backlog refinement and iterative delivery.
• Familiarity with project planning and collaboration tools such as Jira, Confluence, or similar.
• Experience contributing to or leading initiatives that move analytical solutions from exploration into production.

We are open to hiring at different levels for this role. The scope of responsibility, ownership, and expectations will be adjusted based on experience, while maintaining a strong focus on independent problem-solving, collaboration, and impact.

Disclaimer: All applications will be screened by our team - we do not use AI for application screening.

About us

zeroG was founded in 2015, as a spin-off from Lufthansa Systems. The goal was to set up a team of bright people – fluent in data & analytics and human-centered, agile work – and let them do their magic in improving aviation.

Throughout our history, we’ve supported the Lufthansa Group in their digital transformation journey and created the intelligent edge around Lufthansa Systems products, like NetLine/Ops++ and NetLine/Plan.

Today, we’re continuing our own journey in attracting OAL business, offering our expertise in improving business processes and developing cutting-edge data science applications and products. We deliver human-centered, end-to-end data science solutions, that help our clients eliminate cost, boost productivity and discover new business potentials.

Why you'll love working with us:

• Take initiative and watch your contributions drive real change in our dynamic environment.
• We prioritize creativity, open dialogue, and teamwork over rigid structures, ensuring every voice is heard.
• Work alongside an international team of top-notch data specialists who are passionate about creating innovative and elegant solutions with clients from all corners of the world.
• Take advantage of abundant learning opportunities for growth, supported by a yearly training budget, to help you develop new skills and advance your career.
• Enjoy a work environment that respects your work-life balance, offering flexibility and the option to work from home and the office as it suits you.
• If you're moving to Germany, our comprehensive relocation package ensures a smooth transition, helping you feel at home from day one.
• As part of the Lufthansa Group family, you'll benefit from discounted flight tickets from Lufthansa and partner airlines that make exploring the world easier and more flexible.

Read more about zeroG, our culture, and tips for the recruitment process at https://www.zerog.aero/career.