Senior Manager Analytics & Decision Systems

Posted yesterday

bollinger shipyardsMetairie (LA)

Business Intelligence Analysts Corporate, Subsidiary, and Regional Managing Offices

SENIORITY

Manager

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About the role

POSITION OVERVIEW: We are seeking a dedicated Senior Manager Analytics & Decision Systems with at least 8 years of experience in analytics, business intelligence, or reporting. The candidate will be responsible for establishing enterprise analytics capabilities that enable operational, financial, engineering, and executive decision-making across Bollinger Shipyards. This role leads the strategy, governance, and delivery of enterprise reporting, KPI frameworks, dashboards, and self-service analytics capabilities. This leader partners closely with IT and business leadership to ensure analytics are aligned to strategic priorities, operational workflows, and enterprise performance management.

REQUIREMENTS: Bachelor’s degree in Information Systems, Analytics, Business, Engineering, Computer Science, or related field 8+ years of experience in analytics, business intelligence, reporting 3+ years of leadership experience Proven experience building enterprise analytics programs, KPI frameworks, and reporting capabilities Strong experience with Power BI or similar enterprise BI platforms SKILLSExperience implementing self-service analytics programs Familiarity with Azure data and analytics technologies Experience supporting operational performance management and forecasting initiatives

RESPONSIBILITIES: Define and lead the enterprise analytics and reporting strategy Establish and standardize enterprise KPI frameworks across Finance, Operations, Engineering, Supply Chain, and Business Development Lead delivery and ongoing enhancement of enterprise executive dashboards and decision-support tools Oversee development of Power BI dashboards, semantic models, and self-service reporting capabilities Ensure consistency, accuracy, and alignment of operational and financial reporting across the enterprise Partner with Data Engineering and Enterprise Architecture teams to ensure reliable, governed, and accessible data Drive adoption of analytics tools and data-driven decision-making practices across the organization Establish reporting governance, dashboard standards, and analytics development methodologies Prioritize analytics initiatives aligned to business value and operational impact Lead and develop analytics engineering and BI resources Partner with business leaders to identify opportunities for operational improvement through analytics and insight generation Monitor analytics adoption, usage, and effectiveness to ensure measurable business value

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