Senior Business Analyst

New

Fully remote position within the United StatesFull-TimeSenior

Salary not disclosed

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Job Details

Have a bachelor’s degree in Business, Data Analytics, Industrial Engineering, Information Systems, or a related field, or equivalent work experience.
Bring 5+ years of experience in business analysis, data analysis, or a similar role.
Have strong experience writing functional requirements and BI solution documentation in an Agile environment.
Be able to facilitate workshops, communicate with technical and non-technical audiences, and present findings to executive stakeholders.
Have a practical understanding of Power BI reports, dashboards, datasets, and workspace organization.
Have experience with ERP and operational data, especially Dynamics 365 / Dynamics AX.
Understand manufacturing data such as work orders, BOMs, routing, costing, throughput, and supply chain.
Be familiar with SQL-based data environments and able to perform basic data exploration and validation.
Have exposure to Agile methodologies and Azure DevOps for backlog and work item management.
Nice to have experience with Microsoft Fabric, OneLake, and Fabric Link integrations.
Nice to have knowledge of marketing and sales data flows and attribution models, financial reporting hierarchies and cost accounting structures, or experience with data engineering teams or DataOps environments.

Partner with business leaders across manufacturing, finance, sales, operations, procurement, and marketing to define reporting needs.
Document KPIs, metrics, dimensional structures, and semantic logic for standardized reporting models.
Ensure Power BI datasets and dashboards meet business objectives for accuracy, timeliness, security, and actionability.
Support validation and user acceptance testing for new reports and data products before deployment.
Map business processes, data flows, and dependencies across ERP systems and integrated systems.
Work with data engineers to guide transformations for analytics-ready data.
Help define data quality rules, governance standards, and master data requirements.
Identify opportunities for automation, self-service analytics, and data democratization.
Track enhancement requests and maintain a prioritized backlog aligned with enterprise strategy.

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