DATA ANALYTICS MANAGER

Job Summary

The Data Analytics Manager at The Fischer Group leads the development of data warehousing, reporting, business intelligence, and analytics solutions that help teams make day-to-day decisions. You’ll guide the BI team and shape how organizational reporting and analytics are designed, developed, and delivered. Working across business teams, technology partners, and senior leaders, you’ll turn data needs into reliable systems, useful dashboards, and actionable recommendations.

This role combines complex project leadership with the opportunity to strengthen data practices and support teams in using analytics effectively.

This position is 100% onsite, day 1 in our Erlanger, KY office.

You Will Thrive in This Role If You…

• Enjoy leading teams and complex application initiatives from planning through delivery.
• Like translating business questions into clear reporting, useful dashboards, and practical recommendations.
• Bring a structured, fact-based approach to improving data quality, system reliability, and analytics processes.
• Communicate technical information clearly with senior leaders, business partners, developers, analysts, and users.
• Build productive working relationships with internal teams, consultants, and software solution providers.
• Adapt to changing priorities while staying organized, exercising sound judgment, and following through on commitments.

These skills will be used to:

• Lead the business Data team and oversee the design, development, implementation, and support of organizational reporting, analytics, and business intelligence solutions.
• Plan, coordinate, evaluate, and deliver BI/BA projects; work with users to define data cubes and specifications and execute project plans.
• Partner with business teams to develop KPIs and critical reports, build effective dashboards, and communicate analysis and recommendations to senior management.
• Establish data collection and analysis policies, recommend technology solutions for gathering and reporting data, and ensure consistency across company applications and third-party solutions.
• Develop report deployment methods and maintain system reliability, availability, and performance through monitoring, troubleshooting, backup and recovery processes, and carefully planned and tested system changes.
• Work with consulting partners and BI/BA solution providers; address day-to-day requests from platform developers, analysts, and users, and provide technical assistance, training, and support.
• Maintain thorough, current user and system process documentation, project documentation, business rules, and work instructions.
• Install, patch, configure, and test enterprise business intelligence software.
• Mentor team members and transfer knowledge to customers through service delivery and classroom instruction.
• Perform additional duties as requested by management.

Required Qualifications:

• Bachelor’s degree in Business Administration, Computer Science, or an Information Technology-related field.
• Demonstrated success leading IT application teams, including internal and offshore teams.
• A proven track record leading complex application development efforts with a business-oriented approach.
• Experience working with software solution providers, developing strategic partnerships, and managing in a SaaS environment.
• Experience leading teams using the Agile Development Methodology.

Preferred Qualifications:

• Experience working in homebuilding or a relevant industry.
• 10+ years of experience leading large-scale IT initiatives and teams.
• Experience aligning technology strategy with organizational objectives and anticipating future technology trends.
• Experience managing technology initiative budgets, allocating resources, negotiating vendor contracts, and keeping projects within budget.
• Experience with SSRS, SQL Server, and Power BI deployment.
• Understanding of AI/ML fundamentals, including machine learning models, natural language processing, computer vision, and generative AI; experience with generative AI tools and deploying AI or machine learning models in enterprise environments with attention to scalability, performance, data privacy, and ethical considerations.

Physical demands and work environment:

• Must be able to use sensory skills (i.e. verbal communication) to effectively communicate and interact with other Associates and customers.
• Must be able to perform repetitive motions and use fine motor skills (i.e. typing, writing) to operate office supplies (i.e. computer, calculator, copier).
• Must be able to lift and carry approximately 20-25lbs unassisted.
• Must be able to sit for long periods of time with low periods of reaching and standing.

• Professional Development Training programs
• Health Insurance
• Tuition Reimbursement
• Competitive Compensation
• 401(k) with Company matching contributions and profit-sharing
• Employee Life Insurance
• Personal time off
• Inclusive Leave