Advanced Supply Chain Data Analyst

Role/Overall objectives:

The Advanced Supply Chain Data Analyst drives and supports the development, implementation, and improvement of INNIO’s data-driven supply chain 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', ‘what could have happened’ 'what will happen', and 'how can it be actively influenced’. What INNIO offers 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

Your tasks:

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 supply chain 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 supply chain 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
Professional experience in data analytics, business intelligence, financial or operational reporting
Strong knowledge of and at least 5+ years of experience in statistical analysis with large data sets using SQL or Python
Foundational understanding of Tableau Desktop application and its functionalities
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
Oracle and/or Power Automate knowledge is a plus

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