Director, BI & Analytics
Core
Lead the development of a scalable, trusted enterprise reporting and analytics function across a complex, multi-unit services organization, defining business measures and delivering insights to executives and field leaders.
Role type
Director, BI & Analytics (Strategy & Technical Leadership)
Builds
Scalable enterprise BI architecture, governed self-service analytics environments, and integrated analytical frameworks connecting operations to financial results.
Domain
Enterprise Business Intelligence, Financial Planning & Analysis (FP&A), Cloud Data Stack
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Enterprise BI architecture design, Financial acumen (budgeting, forecasting, variance analysis), SQL, Advanced Excel, Modern BI platforms (Sigma, Power BI, Tableau), Cloud data stacks (Snowflake, dbt, Fivetran), Data governance, ERP migration management, Technical team leadership, Product thinking
Preferred skills
Field services/home services/retail/healthcare experience, Dimensional modeling, Semantic layers, AI tool adoption
Technologies
Snowflake, dbt, Fivetran, Sigma, Power BI, Tableau, ERP systems
Responsibilities
Develop scalable enterprise BI and reporting architecture; Consolidate conflicting metric definitions into a governed framework; Design analytical models reliable through source-system changes; Build governed self-service analytics environment; Rationalize existing reports and tools; Evaluate BI technology environment and recommend migration roadmap; Establish standards for KPI definitions and reporting lifecycle; Build integrated analytical frameworks connecting operations to revenue and profitability; Develop reporting across marketing, sales, production, and labor metrics; Partner with FP&A to align operational reporting with financials; Create diagnostic reporting for business drivers; Partner with IT on data standards and integrations; Maintain technical depth to validate logic and build directly; Lead technical delivery teams; Act as bridge between technical teams and business stakeholders; Establish data-quality and governance practices; Leverage AI tools to improve productivity.
Seniority
Director, Strategic Leadership with Hands-on Technical Execution
