Data Analytics Lead

Job Responsibilities

• Lead the design, development, testing, and release of enterprise dashboards, semantic models, operational reports, and self-service analytics solutions.
• Deliver complex analysis supporting job cost, committed costs, WIP, earned value, forecasting, labor utilization, equipment, procurement, cash flow, and project controls.
• Lead and develop the BI team through workload planning, quality review, performance feedback, coaching, cross-training, recruiting, and onboarding.
• Manage the analytics intake queue and prioritize projects, enhancements, and production support based on operational and financial impact.
• Partner with internal stakeholders, application owners, and implementation vendors to define requirements and deliver scalable analytics solutions.
• Establish consistent data definitions, calculation logic, source-to-target mappings, documentation, and reporting standards across Finance and Operations.
• Identify and address data-quality, integration, reconciliation, security, and access-control risks affecting critical financial, employee, customer, and project data.
• Escalate material scope, timeline, data-quality, security, and integration risks to the Enterprise Applications Director.
• Drive adoption of governed analytics solutions through training, documentation, stakeholder feedback, usage monitoring, and retirement of approved redundant reports and manual processes.

Requirements

• Advanced proficiency in SQL and a leading BI/visualization platform, such as Power BI or Tableau.
• Strong capabilities in data modeling, dashboard design, data validation, requirements gathering, and report-performance optimization.
• Expertise in enterprise dashboards, semantic models, operational reporting, and self-service analytics delivery.
• Working knowledge of ERP and project-management data, including job cost, commitments, forecasts, labor, billing, AP, AR, general ledger, and project controls.
• Fundamental knowledge of data warehouse architecture, including source-system integration, ETL/ELT, dimensional or semantic models, data lineage, refresh processes, and role-based access controls.
• Ability to establish and maintain data definitions, calculation logic, source-to-target mappings, reconciliations, exception reporting, and reporting documentation.
• Knowledge of data-governance and MDM practices, including data ownership, stewardship, business definitions, data-quality rules, approval workflows, and change management.
• Strong stakeholder engagement, team coaching, cross-functional leadership, vendor coordination, and executive communication skills.

Skills

• Advanced proficiency in SQL and a leading BI/visualization platform, such as Power BI or Tableau.
• Strong capabilities in data modeling, dashboard design, data validation, requirements gathering, and report-performance optimization.
• Expertise in enterprise dashboards, semantic models, operational reporting, and self-service analytics delivery.
• Working knowledge of ERP and project-management data, including job cost, commitments, forecasts, labor, billing, AP, AR, general ledger, and project controls.
• Fundamental knowledge of data warehouse architecture, including source-system integration, ETL/ELT, dimensional or semantic models, data lineage, refresh processes, and role-based access controls.
• Ability to establish and maintain data definitions, calculation logic, source-to-target mappings, reconciliations, exception reporting, and reporting documentation.
• Knowledge of data-governance and MDM practices, including data ownership, stewardship, business definitions, data-quality rules, approval workflows, and change management.
• Strong stakeholder engagement, team coaching, cross-functional leadership, vendor coordination, and executive communication skills.