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
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
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.
Flexible 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.
Skills Required
- Advanced Power BI development (composite models, RLS, deployment pipelines, Premium features)
- Enterprise semantic modelling in Microsoft Fabric or Databricks
- Integration with Databricks Gold layer for advanced supply chain data products
- Predictive analytics enablement for supply chain use cases
- Self-service analytics governance framework design, training, and adoption management
- SAP supply chain data architecture experience (extraction from MM/PP/SD/WM, delta patterns, reconciliation)
- Microsoft Certified: Power BI Data Analyst Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
- SAP Certified Application Associate - Procurement / Materials Management
- APICS CSCP or CLTD (Logistics, Transportation & Distribution)
- Microsoft Certified: Azure Data Engineer Associate
- Deep SAP supply chain domain knowledge (MM, PP, SD, WM/EWM, APO/IBP)
- Ownership of advanced supply chain KPIs (OTIF, DIFOT, inventory turns, working capital impact)
- S&OP and integrated business planning data requirements experience
- Knowledge of industrial minerals supply chain (quarry-to-customer flows, logistics costing)
- Cross-domain coordination with finance (COGS, stock valuation) and operations
- Supply chain business partnering and analytics advisor experience
- Domain data product ownership accountability for quality, adoption, evolution
- Strong prioritization and ability to translate operational complexity into clear analytics
- Cross-functional leadership aligning data engineering, governance, and business stakeholders
What We Do
Omya is a leading global producer of industrial minerals, primarily fillers and pigments derived from calcium carbonate and dolomite, and a worldwide distributor of specialty materials. The company operates across diverse sectors, including construction, polymers, pulp and paper, agriculture, and life sciences. It provides high-purity minerals and specialty ingredients designed to improve process efficiency and performance for customers in over 50 countries.
