Data & Business Intelligence Leader

Block Imaging Parts & Service LLC•Delhi Charter Township, MI

15h•Onsite

About The Position

This role establishes a single, trusted source of truth for core business and financial data by uniting data governance, data quality, and business intelligence capabilities. By doing so, it enables consistent, fact-based decision-making across Finance and Operations. This role strengthens Block Imaging’s mission of ‘People Matter’ by living our values of Integrity, Honor, and Growth. Make choices that foster our thriving mindsets and lead with our approach of Together, Thoughtful, and Transparent.

Requirements

Strong understanding of financial reporting, accounting principles, and operational drivers, with the ability to connect data insights to business performance and strategic outcomes.
Proven capability in establishing data standards, ownership, controls, and stewardship practices that ensure accurate, consistent, and trusted enterprise data.
Demonstrated strength in business analytics and related tools, delivering decision-ready insights through dashboards, reporting, and analytical models.
Expertise in collaborating with Finance, Operations, IT, and executive stakeholders, translating business needs into aligned data and analytics solutions.
15+ years of progressive experience across business intelligence, analytics, data governance, finance analytics, or operations analytics roles within a corporate environment.
Demonstrated success operating in data-constrained or immature data environments, where data integrity issues, inconsistent definitions, and fragmented reporting required hands-on leadership and foundational improvement.
Proven ability to own and enhance end-to-end data flows, from source systems through data transformation, modeling, and delivery of executive-level reporting and insights.
Hands-on experience delivering decision-support analytics for senior leadership, including the CFO, COO, and functional executives, enabling fact-based strategic and operational decisions.

Nice To Haves

Bachelor’s degree preferred in Accounting, Finance, Business Analytics, Information Systems, Data Science, or a related field; master’s degree (MBA or MS with a focus on analytics, strategy, or operations) preferred.
Professional Certifications (Preferred) – CPA, CMA, CFA, CBIP, or equivalent credentials demonstrating advanced expertise in finance, analytics, and data governance.

Responsibilities

Define, maintain, and enforce enterprise data standards, definitions, and clear data ownership across critical business and financial domains.
Design and implement robust data quality controls, including validation rules, reconciliation checks, and exception reporting, to ensure the accuracy, consistency, and auditability of data used for financial and operational decision-making.
Partner with functional leaders to establish effective data stewardship practices, clearly defining responsibility for data ownership, maintenance, and issue resolution.
Document, standardize, and govern KPIs, metrics, and calculation logic to eliminate conflicting outputs and ensure a single, trusted version of the truth.
Translate strategic and operational business questions from the CFO, COO, and functional leaders into structured analyses, dashboards, and automated reporting solutions.
Build, enhance, and maintain decision-ready business intelligence assets (e.g., Power BI dashboards, management reports, KPI scorecards) that clearly link operational drivers to financial outcomes.
Ensure all BI outputs are fully traceable to source data, with transparent logic, documented assumptions, and a high degree of confidence in data accuracy.
Proactively identify insights, trends, and data gaps impacting profitability, growth, cash flow, and operational efficiency, delivering actionable recommendations to leadership.
Act as a strategic bridge between Finance, Operations, IT, and business teams, ensuring data initiatives are aligned with real-world operational and financial decision-making needs.
Guide teams in the effective and responsible use of data by promoting best practices for interpretation, understanding limitations, and appropriate application of analytics.
Support continuous process improvement efforts by embedding data integrity, governance, and analytics into core workflows such as forecasting, planning, and performance management.
Other duties as assigned.