Business Analytics Manager
Description
- Manage, mentor, and grow a team of business intelligence developers and analysts, including hiring, goal setting, performance reviews, and career development.
- Assign and balance workload across the team, ensuring project deliverables are completed on schedule, within budget, and to Garver quality standards.
- Establish and maintain team standards for data modeling, dashboard design, documentation, and quality review.
- Lead analytics projects from initiation through delivery, including planning, task assignment, budget management, and performance tracking.
- Coordinate stakeholders across client organizations, engineering discipline leads, project managers, and internal data teams to align requirements and expectations.
- Prepare project scopes, work plans, level-of-effort estimates, and fee proposals for new and ongoing analytics work.
- Monitor project financials and manage scope changes, risks, and competing priorities across concurrent projects.
- Manage scope changes, risks, and competing priorities across multiple concurrent projects and programs.
- Develop and drive strategic goals for the business analytics practice, aligning service offerings and staffing with Garver's growth objectives and client needs.
- Identify opportunities to expand analytics services within existing client programs and across Garver's market sectors.
- Support pursuits and proposals with solution approach, differentiators, staffing plans, and pricing.
- Track industry trends, emerging tools, and competitive offerings, and translate them into a practice roadmap with clear recommendations.
- Provide direction on data management, data architecture, and advanced data modeling, including dimensional design, semantic models, and performance optimization.
- Guide development of Power BI reports, dashboards, and custom visuals, and establish governance for data quality, source integration, and refresh strategy.
- Guide the team in developing advanced analytics solutions — descriptive, diagnostic, predictive, and prescriptive.
- Review team deliverables for accuracy, data integrity, usability, and design quality prior to client release.
- Serve as a primary point of contact for client stakeholders, facilitating requirements gathering, working sessions, and solution delivery.
- Present findings and recommendations to executive and non-technical audiences, including councils, boards, DOT leadership, and airport and program stakeholders.
- Develop and deliver training and documentation for clients and internal staff on analytics tools and dashboards.
- Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, Engineering, or a related field.
- 10+ years of progressive experience in business analytics, business intelligence, data management, or a related discipline.
- 5+ years of direct people management experience, including performance management and staff development.
- Project management experience.
- Advanced proficiency in Power BI and other data visualization tools such as Tableau and ArcGIS Dashboards, along with SQL-based databases.
- Demonstrated expertise in data management, data architecture, and advanced data modeling.
- Proven ability to manage project scope, schedule, budget, and deliverables, with strong stakeholder coordination skills.
- Experience writing project scopes and developing fee estimates and level-of-effort proposals.
- Demonstrated experience presenting to executive and non-technical audiences and delivering training.
- Strong business acumen, with a track record of developing and driving strategic goals.
- Excellent communication and interpersonal skills with a client-focused approach.
- MBA or Master's degree in a related field.
- Knowledge of the civil engineering industry, including project delivery lifecycles and professional services business models.
- Knowledge of Capital Improvement Program (CIP) development, including capital planning, project prioritization, and funding scenario analysis.
- Experience supporting Transportation and Aviation clients such as state DOTs, airports and airport authorities, and toll or transit agencies.
- Knowledge of coding languages and systems such as SQL, DAX, Power Query/M, Python, R, C#, and JavaScript.
- Familiarity with custom software solutions, web-based applications, and modern data platforms such as Microsoft Fabric, Azure Synapse, Databricks, or Snowflake.
- Project management experience using Agile, Scrum, or comparable methodologies.
- GIS and geospatial analytics experience, including ArcGIS.
- Knowledge of design principles for dashboards, reports, and data visualization.