Data & BI Analyst Supply Chain

Aperam is a global leader in stainless, electrical, and specialty steel. With 9,500 employees from 47 nationalities and a production capacity of 2.5 million tonnes, we are a truly international force. Our industrial network spans six main plants in Brazil, Belgium, and France, serving customers in over 40 countries. We provide innovative solutions for the world’s most demanding technical needs.

Description

Within the Supply Chain of Aperam Europe, this function will be responsible to support the Supply Chain transformation program from a transversal Data and Analytics perspective. It will also actively contribute to our journey of Supply Chain KPI landscape harmonisation. Within the Supply Chain of Aperam Europe, this role is responsible for supporting the Supply Chain transformation program from a cross-functional Data and Analytics perspective. It will also actively contribute to the ongoing harmonization of the Supply Chain KPI landscape.

Responsibilities

In close cooperation to the transversal and local Supply Chain teams, the Data & BI Analyst Supply Chain will   

• Take in charge or actively support the design and development of specific datasets to run the transformation projects

• Be the interface between Supply Chain operational and project teams and the IT Data engineering team for new data engineering needs

• Lead a part of the data and BI harmonization projects among our European plants, considering the existing landscapes and KPI definitions and proposing new BI solutions and analytics for cross-functional and innovative approach

• Take the role of Data Steward for a specific domain and be responsible to translate raw data into actionable knowledge

• Develop new transversal PowerBI reports to replace manual or local reportings and to support the digitalisation, including relevant data modelling and data visualisations

• Support and challenge the IT Data strategy definition and implementation by presenting and following up the business perspective and needs to IT teams

Competencies

Technical competencies and background

• Master’s degree in Engineering with a focus on Data Analytics or Big Data

• At least 3 years of experience in a similar role

• Project management experience (Waterfall and Scrum/Agile)

• Strong Data Quality and Data Governance skills

• Advanced expertise in Power BI Desktop and Power Query

• Proficiency in DAX and M language

• Solid knowledge of SQL or Python; SAS is a plus

• AI-enablement skills

• Fluency in English. French or Dutch are a plus

Behavioral competencies

• Analytical & Critical Thinking

• Strong problem solving skills

• Proactive communication & Storytelling skills

• Accuracy and attention to detail and business sense 

• Planning skills & Time Management

• High results-orientation

• Transversal thinking and mindset

• Collaboration & Stakeholder Management

Our offer

• Stable employment in a professional and modern environment

• Real influence on shaping data processes within the company

• Growth opportunities under the guidance of an experienced manager

• A friendly atmosphere based on mutual support and clear communication

• Bonus system

Benefits, including:

• Training programs

• Private medical care

• Group Insurance

• Pension Savings Plan (PPE)

• Contribution towards glasses

• Numerous sports gamification initiatives

• Employee referral program

• Company Social Benefits Fund, including holiday subsidies and Christmas & Easter vouchers

• Meal voucher card

• Employee referral program

Compensation
Depending on experience and level of commitment, the base salary is expected to range from PLN 12,000 to PLN 14,000 gross.

Contract Type
Employment contract (Umowa o pracę)

Work Mode
Hybrid working model. During the probation period (3 months), you will work from the office daily. After the probation period, there is the possibility to work 2 days from home and 3 days from the office, with flexible starting hours.

What does our recruitment process look like?

If your CV matches our expectations, you can expect:

1. A phone call or email from Paulina Saja from the HR department to schedule an online meeting (linkedin www.linkedin.com/in/paulina-saja-861671195)

2. An online meeting with Paulina Saja to get to know each other better

3. A safety test, because safety is our number one priority at Aperam

4. A meeting with the Hiring Manager

At the end of the process, you can expect either an offer or written information/feedback with thanks for your participation.