[Hiring] Director of Business Intelligence & Analytics @SavATree

Role Description

SavATree is seeking a Director of Business Intelligence & Analytics to lead the development of a scalable, trusted enterprise reporting and analytics function across a complex, multi-unit services organization. This leader will be responsible for both what we measure and how we deliver it:

• Establishing financially grounded KPIs and analytical frameworks.
• Designing a BI environment that effectively serves executives, field leaders, and functional teams.
• Combining existing data into actionable reporting.
• Carrying forward the reporting reset to consolidate conflicting metric definitions.
• Shaping the function with significant latitude.

Key Responsibilities

• BI Strategy & Reporting Architecture
  • Develop and continuously evolve a scalable enterprise BI and reporting architecture across divisions, regions, and locations.
  • Lead the reporting reset — consolidate conflicting metric definitions into one governed set, tie reporting out to financial results, and hold new builds to that standard.
  • Design models and definitions to survive a source-system change and reconcile across divisions on different ERPs.
  • Establish consistent executive, regional, branch, and functional reporting with clear drill paths from results to underlying drivers.
  • Build a governed self-service analytics environment that balances accessibility, consistency, and data integrity.
  • Rationalize existing reports and tools, eliminating duplicative or low-value reporting.
  • Help shape the Company’s BI technology strategy through a structured evaluation of the current Sigma environment against alternative platforms and recommend a go-forward toolset and migration path.
  • Establish standards for KPI definitions, dashboard development, governance, deployment, access, and lifecycle management.
• Business & Financial Analytics
  • Build an integrated analytical framework connecting operating activity to revenue, profitability, and financial performance.
  • Develop reporting across:
    • Marketing funnel KPIs, including leads, appointments, visits, pitches, sales, and conversion.
    • Sold work, cancellations, backlog, scheduling, and production.
    • Labor hours, capacity, utilization, routing, and revenue per hour.
    • Customer mix, including new, existing, lapsed, and reactivated customers.
    • Service, channel, and customer mix.
    • Price, volume, mix, and timing.
  • Partner with FP&A to ensure operational reporting is aligned with actuals, budget, forecast, and prior year.
  • Develop pacing and forecasting views incorporating production days, holidays, weekends, seasonality, weather, backlog, and year-to-go expectations.
  • Create diagnostic reporting that helps leaders understand not only what changed, but why and what action is required.
• Data, Technology & Team Leadership
  • Partner with IT to ensure BI solutions align with enterprise architecture, data standards, system integrations, and broader technology strategy.
  • Define analytical data models and semantic structures that support consistent reporting across organization, service, customer, channel, and time dimensions.
  • Maintain sufficient technical depth to independently interrogate data, validate business logic, challenge technical solutions, and build directly.
  • Lead external delivery partners, translating priorities set with Finance and Operations leadership into a disciplined development roadmap.
  • Serve as the interface between the technical team and business stakeholders, converting business questions into buildable specifications.
  • Establish strong QA, data-quality, and deployment practices.
  • Leverage emerging AI and development tools to improve analytical and development productivity.
  • Drive adoption through stakeholder engagement, training, and continuous improvement.

Candidate Profile

• The ideal candidate combines the analytical orientation of a senior business or FP&A leader with the architecture and product mindset of a strong BI leader.
• They should be comfortable:
  • Diagnosing the drivers behind financial and operational performance.
  • Designing reporting environments that scale across hundreds of users.
  • Reviewing SQL and data-model logic with technical teams.
  • Turning ambiguous business questions into specifications an engineer can build from.
  • Reconciling operational KPIs to financial results.
  • Presenting clear, concise conclusions to senior executives and operating leaders.
• The strongest candidate will know what the organization should measure, how those measures should fit together, how the reporting environment should be designed, and how to lead the team required to build and improve it.

Experience & Qualifications

• 8–12+ years of experience across business intelligence, analytics, FP&A, or related functions, including leadership responsibility.
• Demonstrated experience designing and scaling enterprise BI/reporting environments.
• Experience in a multi-unit, multi-location, or operationally complex business; field services, home services, route-based services, retail, healthcare services, or similar industries preferred.
• Strong financial and commercial acumen, including budgeting, forecasting, and variance analysis.
• Strong SQL and advanced Excel capabilities.
• Significant experience with modern BI platforms such as Sigma, Power BI, Tableau, or equivalent.
• Working knowledge of dimensional modeling, semantic layers, data warehouses, ETL/ELT, and data governance.
• Hands-on experience with a modern cloud data stack — Snowflake or equivalent warehouse, dbt or comparable transformation tooling, and managed ingestion such as Fivetran.
• Exposure to reporting continuity through an ERP or core system migration preferred.
• Experience directing technical development teams, internal or contracted.
• Strong executive communication and stakeholder-management skills.
• Demonstrated curiosity and practical adoption of AI and emerging analytics tools.