Dave Knaus

About Dave Knaus

I have over 20 years of experience in data, from entry level analyst to engineer, architect, and executive leadership. I develop and deploy data and analytics strategies that increase revenue, reduce costs, and manage risk for businesses across many industries. I have successfully built large data practices supported by a world class technical data team and business insights ecosystem.• Data Practice Establishment: Created a data management and analytics practice with a budget of over $3.5MM and up to 30 expert data architects, engineers, scientists, analysts, and supporting groups embedded in business teams. Engaged executive leadership as a strategic partner to enable business strategy through data strategy. • Successful Solution Deployment: Built and managed multiple enterprise-grade analytical platforms, data warehouses and lakes, and dozens of local analytical solutions with modern technology and architecture. Supported over 350 weekly users integrating with business intelligence tools, running reports, dashboards, custom analyses, and software integrations. • Revenue Growth: Aligned analytical systems and measures to general ledger accounts and financial systems, enabling near real time analysis of actual financial performance. This led to profitable growth on existing product lines and surfaced new revenue opportunities, resulting in the 4X of TTM revenue from $350MM to $1.4B. • Cost Reduction: Built fine-grained analytical systems and strategies for multiple costing streams, resulting in COGS reduction of $100MM+. • Business Transformation: Established strategic data leadership and a data-driven company culture supported by a world class technical team, centralized data systems, self-service analytics, innovation, and business training and education. Transformed data consumption from myriad spreadsheets and reports with no ownership or governance to high-performing data systems supported 24/7 by technical experts. • System Scale: Built data solutions with countless measures and billions of rows. Systems handle tens of thousands of interactions per day across dozens of integrations. Over 99% of interactions are completed in less than a second and downtime is measured in seconds annually. • Next Gen Analytics: Built a machine learning, artificial intelligence, and decision science team to support various business functions including workforce management, risk management, and supply planning. Reduced hourly staffing costs during peak times and reduced demand planning forecast error.

Experience

1. Director, Business Intelligence and Data Management

   Milan Laser Hair Removal

   Sep 2024 — Present · Omaha, NE, US

   Build and deploy the enterprise business intelligence, analytics, and data strategy. Establish data quality standards and enable data-driven decision making. Lead the development of analytical capability in sales, marketing, workforce planning, and several other domains. Re-align, right-size, and modernize the technical data platform. Establish a single version of the truth for critical business metrics throughout the Client Journey.

Education

• University of Nebraska-Lincoln

  Bachelor of Arts (B.A.), Psychology

  1998 — 2003

Skills

• Data Integration
• Databases
• Master Data Management
• Data Warehousing
• Microsoft Sql Server / Business Intelligence
• Ssrs
• Enterprise Reporting Solutions
• Data Management
• Information Architecture
• Ssis
• Data Warehouse Architecture
• Dashboard
• Power Bi
• Sharepoint
• Data Modeling
• Ssas
• Data Governance
• Business Intelligence
• Analysis Services
• Etl
• Data Architecture
• Database Design
• Microsoft Sql Server
• Sql Server Integration Services (Ssis)
• T-Sql
• Sql
• Business Intelligence Tools