Business Intelligence (BI) Manager

Great Day Improvements: A Family of Brands•Twinsburg, OH

2h•$150,000•Hybrid

About The Position

Since its founding 13 years ago, Great Day Improvements, LLC has grown rapidly toward its vision of becoming one of the largest home improvement companies in the U.S. Headquartered in Twinsburg, Ohio, Great Day Improvements is a $1.5 billion, vertically integrated, direct-to-consumer provider of premium home improvement products. The company’s family of brands includes Patio Enclosures®, Champion Windows and Home Exteriors®, Universal Windows Direct®, Apex Energy Solutions®, Stanek Windows®, Hartshorn Custom Contracting, Your Home Improvement Company, K Designers, Leafguard®, Englert®, and The Bath Authority. With an expanding workforce of over 4,800 employees across 130 metropolitan markets throughout the U.S. and Canada, Great Day Improvements continues to rank among the top home improvement companies nationwide and is one of the fastest growing private companies in America. Job Summary The Business Intelligence (BI) Manager leads the BI team and drives data-informed decision making across Great Day’s family of brands. This role oversees a team of data analysts responsible for maintaining and evolving the Tableau Cloud and Power BI environments, ensuring consistent, accurate, and actionable insights are delivered to business stakeholders. The ideal candidate will combine strong technical understanding of BI platforms with exceptional leadership, communication, and project management skills. This role partners closely with executives, department heads, and cross-functional teams to align BI initiatives with strategic business goals and deliver high-impact analytics solutions. Location: Twinsburg, OH (Hybrid) Pay: $150,000 per year

Requirements

Bachelor’s degree in Business Analytics, Data Science, Information Systems, or a related field
5+ years of experience in Business Intelligence, Data Analytics, or related roles
2+ years of experience in people management or team leadership
Hands-on experience with Tableau and/or Power BI, including administration, governance, and dashboard development
Strong understanding of data modeling concepts and SQL
Proven track record of managing complex analytics projects and balancing multiple stakeholder priorities
Excellent interpersonal, presentation, and communication skills

Nice To Haves

Experience managing BI environments across multiple brands or business units
Familiarity with Azure data technologies (e.g., Azure Data Lake, Databricks, etc.)
Experience working in a manufacturing or direct-to-consumer industry
Experience establishing BI governance, standards, and training programs

Responsibilities

Manage, mentor, and develop a team of data analysts supporting multiple business units and BI platforms
Foster a collaborative, growth-oriented environment focused on excellence, learning, and innovation
Set priorities, assign projects, and monitor performance to ensure quality and timely delivery
Oversee governance, performance, and user adoption of both Tableau Cloud and Power BI environments
Establish and enforce best practices for dashboard design, data visualization standards, and data governance
Partner with IT and Data Engineering to ensure data pipelines and sources are accurate, performant, and secure
Serve as the primary liaison between business units and the BI team to translate business needs into technical solutions
Lead regular stakeholder meetings to prioritize requests, align reporting goals, and manage competing demands
Communicate complex data insights and project updates clearly and persuasively to both technical and non-technical audiences
Manage multiple concurrent BI initiatives, ensuring scope, timelines, and resources are well-balanced
Champion data literacy initiatives to empower business users to explore and interpret their own data responsibly
Coordinate with cross-functional teams (Data Science, Data Engineering, Marketing, Operations, Finance) to support enterprise-wide analytics goals
Support governance frameworks around metadata, data definitions, and report certification
Collaborate with data engineering to ensure data quality standards are upheld across the analytics ecosystem