Data Analytics Engineer

Joy Baking Group

. Build and maintain Microsoft Fabric lakehouses, warehouses, data pipelines, and semantic models under established architecture and governance standards .

Posted 9/28/2026full-timeHermitage • Pennsylvania • United StatesMid-LevelSenior💰 $80,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining Microsoft Fabric lakehouses, data pipelines, and Power BI dashboards while ensuring data quality and governance. Proficient in SQL, DAX, and integrating various enterprise data sources to support manufacturing and supply-chain analytics.

Highest-signal resume keywords

Microsoft Fabric Lakehouse DevelopmentPower BI Dashboard CreationSQL Data Pipeline OptimizationManufacturing Analytics SupportData Governance and Security

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDAXData ModelingETL/ELTData Pipeline DevelopmentPower BIPythonAPIsData Quality ChecksIoT Integration

Soft Skills

Effective CommunicationProblem-Solving AptitudeAttention to DetailCollaboration SkillsProject Management

Tools & Technologies

Microsoft FabricAzure Data ServicesD365 F&SCMAzure IoT HubEvent HubCopilot StudioAI Foundry

Certifications & Qualifications

Microsoft Certifications in Data or Analytics

Industry Keywords

Manufacturing AnalyticsSupply-Chain AnalyticsOperational TelemetryKPI SupportData Governance

Tech Stack

Tools & technologies

AzureERPETLIoTPythonSQL

About the role

Key responsibilities & impact

Build and maintain Microsoft Fabric lakehouses, warehouses, data pipelines, and semantic models under established architecture and governance standards
Integrate D365, WMS, OTTO, EDI, manufacturing, IoT, and other enterprise data sources into the analytics platform
Develop and maintain Power BI dashboards and reports for executive, finance, supply-chain, warehouse, and manufacturing users
Support manufacturing KPIs including OEE, downtime, yield, production variance, and line performance
Support warehouse and supply-chain analytics including inventory accuracy, pick rates, OTTO utilization, and dock-to-stock
Develop reusable data models and establish consistent business definitions and reporting standards
Implement data-quality checks, reconciliation routines, exception handling, and monitoring
Support role-based security and governance for enterprise reporting and analytics
Develop and optimize SQL, DAX, semantic models, and data pipelines
Integrate IoT and operational telemetry into Fabric for reporting, analytics, and future AI use cases
Support AI, Copilot, and agent-based analytics solutions
Consume governed D365 APIs, entities, and integration services in partnership with ERP teams
Monitor data pipelines and troubleshoot data or reporting issues
Maintain data architecture, pipeline, report, and support documentation
Provide occasional after-hours and weekend support during planned releases, cutovers, maintenance, and critical production incidents
Collaborate with IT, business teams, implementation partners, vendors, and systems integrators
Lead or coordinate cross-functional technical initiatives in a fast-paced manufacturing environment
Evaluate technical solutions for scalability, maintainability, and operational supportability

Requirements

What you’ll need

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, Engineering, or a related field (recent graduates are encouraged to apply)
3+ years of data, analytics, BI, data engineering, or related experience (internship, academic project, or portfolio experience may be considered)
Strong foundational SQL skills
Power BI or another BI/data visualization platform experience
Foundational understanding of databases, data modeling, ETL/ELT, APIs, or data pipelines
Demonstrated ability and willingness to learn new technologies quickly
Exposure to Microsoft Fabric, Power BI, Azure data services, or Dataverse
Python experience
Exposure to D365 F&SCM data structures or ERP data
Interest or exposure to Azure AI, AI Foundry, Copilot Studio, machine learning, or intelligent automation
Exposure to IoT data, Azure IoT Hub, Event Hub, or operational telemetry
Manufacturing or supply-chain analytics experience
Microsoft certifications or demonstrated self-directed learning in data, analytics, or AI
Ability to work independently with minimal supervision
Ability to manage multiple projects and meet deadlines
Ability to analyze and present complex information
Effective verbal and written communication and collaboration skills
Problem-solving aptitude and strong attention to detail
Ability to travel to other Joy Baking Group sites
Ability to perform occasional physical activities including climbing stairs, kneeling, squatting, bending, stooping, twisting, and lifting over 20 lbs.