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Junior Data Analyst

Metalor Technologies SA

La Tène · On-site Entry Level 1w ago

About the role

About Metalor

Metalor is a Swiss‑based leading precious metal company that was created in 1852. With subsidiaries in 15 countries and more than 1,550 employees across the world, the Metalor Group has 3 business units, each corresponding to a group of specific markets: Refining, Electrotechnics and Advanced Coatings.

Position

Junior Data Analyst
Location: Based at our sites in Marin
Reports to: Global IT Manager

You will support data‑driven decision‑making by analyzing business and operational data from systems such as SAP ERP and other enterprise platforms. You will work closely with business stakeholders to transform complex datasets into meaningful insights, dashboards, and reports that support strategic and operational decisions.

Key Responsibilities

  • Extract, analyze, and interpret data from ERP systems such as SAP ERP and other enterprise applications.
  • Develop and maintain dashboards, reports, and data visualizations using tools such as SAP Analysis Cloud (SAC), SAP BW Analysis, Power BI or similar BI platforms.
  • Work with business stakeholders to understand reporting needs and translate them into analytical solutions.
  • Monitor data quality, identify inconsistencies, and implement improvements to ensure reliable reporting.
  • Support data extraction and transformation processes using tools such as SAP BW Extractors, SQL or Microsoft Excel.
  • Document data sources, reporting logic, and analytical methodologies.

Qualifications

  • Bachelor’s degree in Data Analytics, Information Systems, Finance, Business Analytics, or a related field.
  • Proven experience as a Data Analyst, Business Data Analyst, or similar role.
  • Experience working with ERP systems such as SAP S/4HANA, or similar platforms.
  • Strong analytical and problem‑solving skills with the ability to interpret complex datasets.
  • Proficiency in data analysis tools such as SQL and Microsoft Excel.
  • Experience with data visualization tools such as SAC or Power BI.
  • Experience with AI/ML techniques (e.g., predictive analytics, classification, regression) and their application in business contexts is a plus.
  • Familiarity with AI tools or platforms (e.g., Python, R, Azure AI, or similar) is an advantage.
  • Good understanding of business and financial processes.
  • Strong communication skills and ability to work with both technical and business stakeholders.
  • Fluent in English and French (additional languages may be a plus).

Additional Information

  • Entry date: To be discussed
  • Activity rate: 100%

Performance, Innovation, Trust, Respect and Ethics are our core values. We encourage our employees and provide them with the tools and training that enable them to develop and evolve successfully in an international Group. We offer equal opportunity, a healthy, safe and secure working environment and competitive compensation and benefits.

Application

We are looking forward to receiving your application (covering letter, CV, educational and work certificates, etc.) through www.jobup.ch.

Requirements

  • Proven experience as a Data Analyst, Business Data Analyst, or similar role.
  • Experience working with ERP systems such as SAP S/4HANA, or similar platforms.
  • Strong analytical and problem-solving skills with the ability to interpret complex datasets.
  • Proficiency in data analysis tools such as SQL and Microsoft Excel.
  • Experience with data visualization tools such as SAC or Power BI.
  • Good understanding of business and financial processes.
  • Strong communication skills and ability to work with both technical and business stakeholders.
  • Fluent in English and French (additional languages may be a plus).

Responsibilities

  • Extract, analyze, and interpret data from ERP systems such as SAP ERP and other enterprise applications.
  • Develop and maintain dashboards, reports, and data visualizations using tools such as SAP Analysis Cloud (SAC), SAP BW Analysis, Power BI or similar BI platforms.
  • Work with business stakeholders to understand reporting needs and translate them into analytical solutions.
  • Monitor data quality, identify inconsistencies, and implement improvements to ensure reliable reporting.
  • Support data extraction and transformation processes using tools such as SAP BW Extractors, SQL or Microsoft Excel.
  • Document data sources, reporting logic, and analytical methodologies.

Benefits

health insurancedental insurancevision insurance

Skills

ExcelPower BIRSAP Analysis CloudSAP BW AnalysisSAP BW ExtractorsSQL

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