Sr. Business Intelligence Analyst, Corp Strategy & Analytics

ERMCO Remote•,

1d•Remote

About The Position

ERMCO is seeking a Sr. Business Intelligence Analyst to build executive intelligence reporting and partner with key stakeholders to support data-driven decisions across the organization. The analyst will work cross-functionally with Finance, Sales, Manufacturing, Operations, IT, Human Resources, Legal, and the Chief of Staff teams to gather data and develop dashboards that support important decisions. The position offers significant exposure to senior leadership and a direct role in supporting leadership decisions. The role is remote for candidates residing in or relocating to AZ, FL, GA, IL, KS, MI, MA, NC, NE, SD, TN, TX, WI, or WY; relocation assistance is provided.

Requirements

Bachelor’s degree in a relevant discipline, such as Data Analytics, Data Science, Statistics, Industrial Engineering, or similar.
5+ years of experience in business intelligence, building executive-level dashboards.
5+ years of experience performing data analysis in Microsoft Excel using various functions.
Advanced experience with Microsoft Power BI and Excel.

Responsibilities

Design, develop, and maintain scalable, automated, user-friendly analytics solutions, dashboards, and reports for executive decision-making.
Define, standardize, and continuously refine key business metrics and KPIs with functional leaders to ensure consistency across the enterprise.
Drive cross-functional reporting and insights through dashboards, self-service analytics tools, and data visualizations.
Support ad hoc reporting and analysis while identifying opportunities to improve scalability, automation, and self-service capabilities within Power BI.
Develop and optimize Power BI semantic data models, including DAX measures, calculated columns, hierarchies, and relationships.
Research, acquire, and integrate external data sources to enhance internal analytics and provide business context and insight.
Connect and integrate data from ERP systems, CRM platforms, manufacturing systems, SQL databases, spreadsheets, cloud applications, and third-party sources through automated data pipelines.
Define and maintain enterprise-wide data definitions, KPI calculations, business rules, and master data standards.
Monitor and improve data quality using governance processes, data validation rules, exception reporting, and root-cause analysis.
Participate in initiatives to improve master data management across enterprise systems, including customer, product, supplier, material, chart of accounts, and other critical data domains.