Data Analyst - Service Business

The Data Analyst for Service Performance Management drives and supports the development, implementation and improvement of INNIO’s data-driven management control approach. This includes the analysis of large data sets to derive actionable insights, identify trends, define KPIs and building a link to the companies’ strategy. At the very heart of this steering approach is the design and implementation of a holistic reporting system with a 360-degree view to address and understand the key questions: 'what has happened and why' and 'what will happen' and 'how can it be actively influenced’.

What INNIO offers you:

• A fast-growing international business environment
• Being part of a young, supportive and enthusiastic team
• Learning opportunities, other development opportunities to craft your career path
• Flexible working time
• Hybrid working model - we work both from our office and home office
• Private Health Insurance

In this role you will be responsible for:

• Execute, supervise, and support advanced analyses that aid data-driven decision-making and process automation
• Identify process gaps and data quality issues impacting the quality of analysis and provide and/or support the development of solutions
• Conceptualize, design, and implement reports to drive measures supporting the Service strategy
• Partner with stakeholders to design and develop reports and ensure that they perform as expected
• Identify trends from sources of raw data to increase the efficiency of the Service organization
• Participate in the development of metrics and data quality rules, including dashboards, KPIs, and other measurements of success for business stakeholders, allowing them to drill into key aggregated values

Your Profile:

• Completed university studies with a focus on Business & administration, data science, computer science, information management, statistics, mathematics, or equivalent
• Fluency in English, any other language is a plus
• Professional experience in data analytics, business intelligence, financial or operational reporting with a consulting background
• Experience in statistical analysis with large data sets using SQL, Python, R or similar
• Profound knowledge of MS Excel (specifically advanced formulas, pivot tables and charts) including experience building complex reports and models
• Ability to summarize large amounts of complex data into (management) reports, including experience in data visualization and data storytelling to drive actionable insights and decision-making

If you do not see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Women and underrepresented groups often only apply when they feel 100% qualified. We are committed to creating a more equitable, inclusive, and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply.