Data Consultant

Job Description: Data Consultant Position Overview: We are seeking an experienced Data Consultant with a strong background in Machine Learning, data consolidation, and reporting across varied ERP (Enterprise Resource Planning) systems. This consultant will play a critical part in enabling weekly forecasting for a key business unit. The consultant will take fragmented, cross-platform data, support the buildout of reporting pipelines (leveraging Microsoft Fabric where possible), and deliver scalable forecasting solutions using appropriate machine learning algorithms. Key Responsibilities: • Analyze data consolidated from 16 different ERP platforms into the client enterprise data system, including domains such as invoicing, open orders, inventory, manufacturing, AP, AR, and accounting. • Partner with business and IT teams to understand friction points—especially relating to demand planning and forecasting. • Cleanse, stage, and transform raw reporting schema in an on-premise data warehouse (and as migrated to the developing data lake). • Build machine learning models from scratch in Python to enable demand planning and sales forecasting. • Utilize Microsoft Fabric (preferred) to design and automate data pipelines for model training and reporting outputs. • Generate, validate, and iterate on weekly forecasting reports in collaboration with operational business units. • Document methodology and hand off models/reports for ongoing integration into Salesforce and SAP planning systems. • Advise on best practices for standardizing business processes and optimizing future reporting/forecasting solutions organization-wide. Required Experience and Skills: • Demonstrated experience in consolidating complex, multi-ERP enterprise data environments. • Solid hands-on expertise in machine learning for demand planning or sales forecasting—preferably within a manufacturing or supply chain setting. • Proficiency in Python for data manipulation, modeling, and visualization. • Hands-on experience with Microsoft Fabric for data orchestration and reporting is highly desirable. • Experience with data lakes, reporting schema development, and semantic modeling. • Understanding of business systems integration (Salesforce, SAP) a plus. • Ability to communicate complex technical concepts clearly to business stakeholders and to work collaboratively in a changing environment.