Sr. Business Intelligence Analyst, Corporate Strategy & Analytics
New
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JobgetherCorporate Strategy, Analytics
Remote work within the following U.S. states: Arizona, Florida, Georgia, Illinois, Kansas, Michigan, Massachusetts, North Carolina, Nebraska, South Dakota, Tennessee, Texas, Wisconsin, and Wyoming.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLMicrosoft Power BIMicrosoft ExcelData visualizationData modelingCRM
Requirements
- Bachelor’s degree in Data Analytics, Data Science, Statistics, Industrial Engineering, or a related discipline.
- 5+ years of experience in Business Intelligence, including developing executive-level dashboards and reporting solutions.
- 5+ years of hands-on data analysis experience using Microsoft Excel.
- Advanced proficiency in Microsoft Power BI and Excel.
- Strong understanding of data visualization, business metrics, KPI development, and executive reporting.
- Experience building Power BI semantic models and working with DAX, calculated columns, relationships, and data hierarchies.
- Ability to integrate and analyze data from multiple business systems including ERP, CRM, SQL databases, and cloud applications.
- Strong analytical and problem-solving skills to identify trends and translate findings into actionable recommendations.
- Excellent communication and stakeholder-management skills for cross-functional collaboration.
- Highly organized with the ability to manage multiple priorities.
Responsibilities
- Design, develop, and maintain scalable, automated, and user-friendly analytics solutions, dashboards, and reports that support executive decision-making.
- Partner with functional leaders to define, standardize, and continuously improve key business metrics and KPIs across the organization.
- Build cross-functional reporting and data visualizations using dashboards and self-service analytics tools to accelerate data-driven decisions.
- Respond to ad hoc reporting and analytical requests while identifying opportunities to improve automation, scalability, and self-service capabilities within Power BI.
- Develop and optimize Power BI semantic data models, including DAX measures, calculated columns, hierarchies, and relationships.
- Connect data from ERP and CRM systems, manufacturing platforms, SQL databases, spreadsheets, cloud applications, and third-party sources.
- Establish and maintain enterprise-wide data definitions, KPI calculations, business rules, and master data standards.
- Monitor and improve data quality through governance processes, validation rules, exception reporting, and root-cause analysis.
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