Sr. Analytics Engineer

Bonapolia

Lisboa

On-site

EUR 45,000 - 60,000

Full time

9 days ago

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Job summary

Bonapolia in Lisbon, Portugal is seeking a data analytics professional to drive S&OP initiatives and build a modern analytics stack using Microsoft Fabric and Power BI. You will work across D365, Lakehouse, and data modeling to support planning, reporting, and decision-making processes.

The role emphasizes translating planning requirements into reliable data models and dashboards, collaborating with ERP migration teams, and validating outputs with business users during regular S&OP reviews.

Qualifications

  • Hands-on experience implementing or improving S&OP in a manufacturing environment.
  • Experience with Microsoft Fabric and Power BI development.
  • Proficiency in D365 data analysis and data modeling.
  • Strong knowledge of Spark, SQL and data lakehouse concepts.
  • Familiarity with Medallion Architecture (Bronze → Silver → Gold).
  • English: upper-intermediate proficiency.

Responsibilities

  • Support S&OP across planning to enable demand, supply and inventory alignment.
  • Collaborate with stakeholders to define KPIs, reporting priorities and requirements.
  • Translate requirements into analytical data models and Power BI dashboards.
  • Ingest data from D365 and other systems into Microsoft Fabric and Lakehouse.
  • Support ERP migration analytics aligned with Dynamics 365 processes.
  • Validate outputs with business users and assist adoption during reviews.
  • Design and develop analytics solutions using Microsoft Fabric and Power BI.
  • Develop data processing with Spark and SQL; contribute to DWH/ Lakehouse architecture.

Skills

S&OP process
Microsoft Fabric
Power BI
D365 data analysis
Spark
SQL
Lakehouse
DWH concepts
Medallion Architecture
English: upper-intermediate

Job description

Role Overview:

Join a manufacturing sector project focused on migrating ERP systems to Microsoft Dynamics 365 and building a modern analytics platform using Microsoft Fabric and Power BI. The role combines business-focused Sales & Operations Planning (S&OP) initiatives with analytics and data modeling responsibilities, helping transform planning and operational data into reliable business insights. You will work across D365, Microsoft Fabric, Power BI, Lakehouse architecture, and modern data analytics practices to support planning, reporting, and decision-making processes.

Key Responsibilities:
  • Help shape the client's Sales & Operations Planning (S&OP) process, aligning sales, demand, supply, and inventory planning across a manufacturing business.
  • Collaborate with business stakeholders to assess current planning practices, identify gaps, and define planning requirements, KPIs, and reporting priorities.
  • Translate S&OP requirements into analytical data models and Power BI dashboards supporting demand and supply balancing, inventory visibility, and plan-versus-actual analysis.
  • Identify and integrate data from Dynamics 365 and other business systems into Microsoft Fabric, ensuring reliable and consistent planning inputs.
  • Collaborate with the ERP implementation team to align analytics solutions with business processes and data structures introduced through the Dynamics 365 migration.
  • Validate data and analytical outputs with business users, investigate discrepancies, and support solution adoption during regular S&OP reviews.
  • Design and develop analytics solutions using Microsoft Fabric and Power BI.
  • Develop and optimize data processing solutions using Spark and SQL.
  • Contribute to Lakehouse and Data Warehouse (DWH) architecture implementation, including Medallion Architecture (Bronze → Silver → Gold).
Must-Have Requirements:
  • Hands-on experience implementing or improving Sales & Operations Planning (S&OP) processes in a manufacturing environment, including demand and supply planning, inventory management, and alignment between sales and operations.
  • Hands-on experience with Microsoft Fabric.
  • Experience in D365 data analysis and data modeling.
  • Strong knowledge of Spark and SQL.
  • Understanding of Lakehouse, DWH concepts, and data modeling.
  • Experience working with Medallion Architecture (Bronze → Silver → Gold). English: upper-intermediate.
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