Lead Data Analyst

Department: IT Location: Remote- USA DescriptionTrilon is building a supercharged, technology-enabled future for our people and partners. The Lead Data Analyst plays a critical role in that mission by owning the analytics layer of the Data Platform and ensuring that insights delivered across the organization are accurate, consistent, and actionable.This role serves as the senior analytics authority, responsible for setting analytical standards, governing semantic model architecture, and leading a team of Data Analysts. You ensure that reporting and dashboards across the platform are built on a consistent foundation and that the analytics function scales effectively as new data sources, companies, and use cases are added.You operate as a player-coach, managing a team while remaining hands-on as the most senior analytical contributor. You define how data is modeled, how metrics are calculated, and how insights are presented to business leaders. You own the Power BI environment, including dataset architecture, report quality, and access control, ensuring a high standard across all outputs.You work closely with the VP of Data and Analytics to align analytics with business priorities, with Data Engineering to ensure data is structured for analysis, and with business and program leadership to deliver insights that drive decision-making. You also support the AI and Digital program by developing reporting that tracks adoption, ROI, and overall impact.This role requires deep technical expertise in Power BI, strong analytical judgment, and the ability to translate complex data into clear, meaningful insights. You are rigorous about data accuracy, clear in your communication, and focused on building an analytics capability that scales across a distributed organization.Key ResponsibilitiesAnalytics Leadership and StandardsDefine and enforce analytical standards across reporting, dashboards, and data modelsEstablish best practices for metric definition, calculation logic, and data usageEnsure consistency and accuracy across all analytics outputsGovern how data is interpreted and presented across the organizationSemantic Model and Data Modeling OwnershipDesign and maintain enterprise semantic models used across Power BIEnsure models are scalable, reusable, and aligned with business definitionsStandardize key metrics and dimensions across reporting domainsPartner with Data Engineering to align data structures with analytical needsPower BI Environment GovernanceOwn the Power BI environment, including dataset architecture, report quality, and access controlEstablish standards for report design, usability, and performanceManage deployment, versioning, and lifecycle of reports and datasetsEnsure proper data security and access governanceTeam Leadership and DevelopmentLead and mentor a team of Data AnalystsProvide guidance on analysis, modeling, and reporting best practicesReview work to ensure quality, consistency, and alignment with standardsSupport team development and growth in technical and analytical capabilitiesBusiness Partnership and Insight DeliveryServe as the primary analytics partner to business leaders and program stakeholdersTranslate business questions into analytical frameworks and outputsDeliver clear, actionable insights that support decision-makingCommunicate complex data concepts in a way that is accessible to non-technical audiencesProgram and Performance AnalyticsDevelop reporting and dashboards for AI and Digital program performanceTrack adoption, ROI, and impact of platform tools across operating companiesProvide leadership with a clear view of program effectiveness and outcomesSupport executive and board-level reportingCross-Functional CollaborationWork with the VP of Data and Analytics to define the analytics roadmapPartner with the Lead Data Engineer to ensure data pipelines support analytical needsCollaborate with Data Platform Engineers to ensure new data sources are analytics-readyAlign with product and engineering teams on data definitions and usageSkills, Knowledge and Expertise7+ years of experience in data analysis, business intelligence, or analytics roles2+ years of experience leading or mentoring analystsDeep expertise in Power BI, including advanced DAX, semantic modeling, and report developmentStrong understanding of data modeling principles and dimensional modelingExperience governing enterprise reporting environments and standardsStrong analytical and problem-solving skillsAbility to translate business needs into structured analytical solutionsExcellent data storytelling and communication skillsExperience working with cross-functional teams including data engineering and business stakeholdersExperience building analytics solutions in complex or multi-entity organizationsFamiliarity with Azure data platforms or modern data stack tools is a plusExperience supporting AI, digital transformation, or product analytics initiatives is a plusExperience in AEC, engineering, or professional services environments is a strong advantageStrong attention to detail and commitment to data accuracyAbility to operate in a fast-paced environment with evolving business needs