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Skills
Business Intelligenceunmatched
Data Analysisunmatched
Data Lakeunmatched
Data Mappingunmatched
Data Qualityunmatched
Data Storageunmatched
Emerging Technologyunmatched
Higher Educationunmatched
Identify Issuesunmatched
Industry/Trade Analysisunmatched
Microsoft SQL Serverunmatched
Microsoft Windows Azureunmatched
Power BIunmatched
Project Planningunmatched
Requirements Managementunmatched
Resource Managementunmatched
Retailunmatched
SQL Server Analysis Services (SSAS)unmatched
SQL Server Integration Services (SSIS)unmatched
SQL Server Reporting Services (SSRS)unmatched
Technical Leadershipunmatched
Technical Writingunmatched
Technical/Engineering Designunmatched
Time Managementunmatched
Training/Teachingunmatched
eCommerceunmatched
Description
Position Overview
Follett Higher Education is a leading educational service provider and omnichannel retailer, providing students, faculty, staff, parents, and fans with the course materials, learning tools, and retail services needed to successfully support the collegiate journey. Follett Higher Education supports over 6 million students through its 1,100 physical and 1,750 eCommerce campus stores across North America.
The Lead Business Intelligence Engineer is responsible for designing and implementing data analytics solutions that enable the organization to make data-driven decisions. This role works closely with enterprise stakeholders to identify requirements and then designs solutions that meet their needs.
Responsibilities
Develop and implement end-to-end scalable and maintainable solutions using technologies such as Azure Data Factory, Azure Data Lake Storage, Azure Databricks, SQL Server, SSIS, SSAS, SSRS, and Power BI.
Develop and maintain relationships with key stakeholders, including business users and IT leadership, to understand their requirements and design solutions that meet their needs.
Develop data dictionaries, mapping, functional design, and other technical documentation.
Perform data analysis and profiling to identify data quality issues and work with data owners to resolve them.
Stay current with industry trends and emerging technologies and evaluate their potential use in the organization.
Participate in project planning, including estimating development efforts and managing project timelines and resources.