Job main responsibilities:

- Design and maintain business dashboards

- Translate business strategy into analytics roadmap

- Enable business performance insights

- Act as analytics partner for business

- Lead cross-domain alignment

Technical Skills & Technology Landscape:

- Power BI-type BI platforms

- Enterprise semantic models

- Advanced business KPIs

- Data visualization and UX best practices

- Collaboration with Data Engineering teams

Qualifications and Skills

1. Core Technical

- Advanced Power BI development: composite models, RLS, deployment pipelines, Premium features

- Enterprise semantic modelling in Microsoft Fabric /Databricks, Power BI Premium for supply chain domains

- SAP supply chain data architecture: extraction from MM/PP/SD/WM, delta patterns, reconciliation (preferred)

- business analytics roadmap: KPI taxonomy, domain data product ownership

- Predictive analytics enablement

- Self-service analytics governance: framework design, training, adoption management

- Integration with Databricks Gold layer for advanced supply chain data products

2. Certifications

- Microsoft Certified: Power BI Data Analyst Associate — Mandatory

- Microsoft Certified: Fabric Analytics Engineer Associate — Strongly Preferred

- SAP Certified Application Associate – Procurement / Materials Management — Strongly Preferred

- APICS CSCP or CLTD (Logistics, Transportation & Distribution) — Strongly Preferred

- Microsoft Certified: Azure Data Engineer Associate — Preferred

3. Industry & Business Knowledge

- Deep SAP supply chain knowledge: MM, PP, SD, WM / EWM,



APO / IBP

- Advanced supply chain KPI ownership: OTIF, DIFOT, inventory turns, working capital impact

- S&OP; and integrated business planning data requirements

- Industrial minerals supply chain: quarry-to-customer data flows, logistics costing

- Cross-domain coordination: alignment with finance (COGS, stock valuation) and operations

4. Behavioral & Leadership

- Supply chain business partnering — acts as analytics advisor to SCM leadership

- Domain data product ownership: accountable for quality, adoption, and evolution

- Strong prioritisation: manages competing demands from planning, logistics, and procurement

- Translates operational complexity into clear analytical insight

- Cross-functional leadership: aligns data engineering, governance, and business stakeholders

What do we offer?

- Hybrid Work Model: Flexibility to work from home and in the office, according to the policy, helping you achieve a healthy work-life balance.

- Ticket Restaurant: Enjoy a daily meal allowance to support your well-being.

- Versátil retribution: Kindergarten & Transport

- 30 Labor Days of Holidays: Ample time off to relax and recharge.

- Language Lessons: Access to language lessons to help you grow both personally and professionally.

- Medical Insurance: 60% company-subsidized medical insurance for employees, with the option to extend coverage to family members at a highly competitive rate.

- Open and Modern Office Environment: Work in a collaborative, innovative, and comfortable space designed for your success.

📌 Senior Data & Analytics Product Specialist (España)
🏢 Omya Business Services SLU
📍 España