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Power BI Business Analyst

IS International Services · Houston, TX, United States

Data Science / AI / Machine LearningExternal listingcontract9 days ago

About The Role

We are seeking a highly skilled Power BI Business Analyst Contractor to support supply chain analytics across S&OP, manufacturing, and operations. The contractor will translate complex business requirements and data into clear, scalable, and executive-ready dashboards that improve visibility and decision-making.

The ideal candidate combines advanced Power BI development, strong business analysis, supply chain knowledge, and disciplined data modeling. This individual will own the end-to-end BI lifecycle, from requirements and KPI definition through development, deployment, documentation, user enablement, and long-term support.

Key Responsibilities

Business Analysis & Stakeholder Partnership

  • Partner with supply chain, S&OP, manufacturing, operations, planning, and leadership teams to understand reporting and analytics needs.
  • Translate business questions into clear requirements, KPI definitions, data specifications, and scalable BI solutions.
  • Facilitate requirement-gathering sessions, document business logic, and align stakeholders on definitions and expected outcomes.
  • Communicate insights clearly to both technical and non-technical audiences and serve as the bridge between business and data teams.

Power BI Dashboard Development

  • Design, develop, test, publish, and maintain enterprise-grade Power BI dashboards and reports.
  • Create intuitive dashboards that help leaders quickly understand performance, trends, exceptions, risks, and required actions.
  • Develop reporting across S&OP, demand and supply planning, inventory, manufacturing, logistics, supplier performance, order fulfillment, and operational KPIs.
  • Build effective drill-down, filtering, navigation, security, and self-service capabilities while maintaining a consistent user experience.
  • Optimize report performance, refresh reliability, usability, and adoption.

Data Modeling, Integration & Governance

  • Design scalable, reusable, and well-structured semantic data models that can support future reporting requirements.
  • Integrate and transform data from ERP, planning, manufacturing, operational, Excel, SharePoint, database, and other approved sources.
  • Use Power Query, SQL, and established data modeling practices to prepare reliable datasets for reporting.
  • Ensure data accuracy, consistent KPI logic, traceability, appropriate access controls, and adherence to data governance standards.
  • Establish validation and reconciliation processes to build trust in dashboards and reported metrics.

BI Sustainability & Support

  • Own the ongoing maintenance and enhancement of Power BI solutions after initial deployment.
  • Document data sources, transformations, data models, KPI definitions, refresh processes, dependencies, security, and support procedures.
  • Diagnose and resolve data, refresh, performance, and report issues in partnership with business and technical teams.
  • Create reusable standards, templates, and development practices that reduce dependency on individual developers.
  • Train business users and designated support resources on dashboard usage, KPI interpretation, and basic troubleshooting.

Requirements

Required Qualifications

  • Bachelor's degree in Business, Supply Chain, Engineering, Information Systems, Analytics, Computer Science, or a related field, or equivalent professional experience.
  • Five or more years of experience in business intelligence, analytics, business analysis, or a related field, with substantial hands-on Power BI experience.
  • Advanced proficiency in Power BI Desktop and Power BI Service, including report development, publishing, refresh management, security, and performance optimization.
  • Strong DAX capability for developing reliable business measures and analytical logic.
  • Strong data modeling expertise, including dimensional modeling, relationships, data granularity, reusable semantic models, and performance-conscious design.
  • Advanced Excel skills, including Power Query, PivotTables, lookup and analytical techniques, and structured data preparation.
  • Working knowledge of SQL and data integration concepts.
  • Demonstrated ability to gather requirements, define KPIs, analyze data, and present findings in a clear and decision-oriented manner.
  • Strong written and verbal communication skills, attention to detail, and the ability to work independently in a contractor environment.

Supply Chain Knowledge

The candidate should understand core supply chain concepts and have practical exposure to several of the following

  • Sales & Operations Planning (S&OP) and integrated planning processes
  • Demand planning, supply planning, backlog, capacity, and constraint visibility
  • Inventory management, material availability, shortages, aging, and working capital
  • Manufacturing performance, production plans, throughput, schedule adherence, yield, and quality
  • Procurement, supplier performance, lead times, cost, and purchase order visibility
  • Logistics, transportation, delivery performance, and order fulfillment
  • Operational performance management, KPI governance, and root cause analysis

Preferred Qualifications

  • Experience supporting a global or multi-region supply chain organization.
  • Experience with ERP and planning platforms such as SAP, Oracle, NetSuite, or similar systems.
  • Familiarity with Microsoft Fabric, Azure data services, Power Automate, or Python.
  • Experience developing executive and operational dashboards for leadership reviews.
  • Experience establishing BI development standards, documentation, change control, and user adoption practices.
  • APICS or ASCM certification, training, or equivalent practical supply chain experience.

Engagement Deliverables & Success Measures

  • Deliver clear and scalable Power BI dashboards using S&OP, manufacturing, and operational data.
  • Establish trusted KPI definitions and transparent calculation logic aligned with business owners.
  • Create reusable data models that support future reporting needs without unnecessary redevelopment.
  • Improve automation, refresh reliability, data quality, and the speed of business reporting.
  • Provide business insights that help leaders identify risks, priorities, and actions.
  • Complete technical and user documentation to support long-term ownership and continuity.
  • Enable internal users to operate, understand, and sustain the BI solution after the engagement.

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