At INNIO we offer you:
- Young & supportive team - in a fast-growing international business environment
- Learn & develop yourself - help you craft your career path with (INNIO learning, free language courses according to business needs)
- Hybrid working - 50% Office, 50 % Home Office with flexible working hours
- Cafeteria package with various options - SZÉP Card, Cash option, Nursery & kindergarten support
- Medicover Spring White Package- from the first day of employment
- Easily accessible location - in the heart of the most vibrant campus area in Budapest (location: 13rd District, easy to approach by Metro Line 3)
- Take a break - Recharge your batteries with free coffee and tea selection in the kitchen area
- Live an active lifestyle – activate your AYCM pass
Description
The Business 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’.
Your responsibilities:
- Execute, 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
Qualifications/Requirements:
- Completed university studies with a focus on Business & administration, data science, computer science, information management, statistics, mathematics, or equivalent
- Fluency in English
- Professional experience in data analytics, business intelligence, financial or operational reporting
- Strong knowledge of and at least 3 years of experience in statistical analysis with large data sets using Python AND SQL
- Profound knowledge of MS Excel (specifically advanced formulas, pivot tables and charts) including experience building complex reports and models
- Daily usage, solid experience in data analytics, business intelligence, financial or operational reporting, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- 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-support
