DATA ANALYTICS MANAGER

Fischer Homes•Erlanger, KY
•Onsite

About The Position

The Data Analytics Manager at The Fischer Group leads the development of data warehousing, reporting, business intelligence, and analytics solutions that support day-to-day organizational decisions. The role guides the BI team and shapes how organizational reporting and analytics are designed, developed, and delivered. Working with business teams, technology partners, and senior leaders, the manager turns data needs into reliable systems, useful dashboards, and actionable recommendations. The position combines complex project leadership with strengthening data practices and helping teams use analytics effectively. This position is 100% onsite in the Erlanger, Kentucky office from day one. The role leads the business Data team and oversees the design, development, implementation, and support of organizational reporting, analytics, and business intelligence solutions. It also involves project planning and delivery, collaboration with business partners and software providers, support and training for users, documentation, enterprise BI software deployment, and mentoring team members.

Requirements

  • 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.
  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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 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 planned and tested system changes.
  • Work with consulting partners and BI/BA solution providers; respond to day-to-day requests from platform developers, analysts, and users and provide technical assistance, training, and support.
  • Maintain 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.

Benefits

  • 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
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