Business Intelligence Analyst

Signode•Tampa, FL

1d•Hybrid

About The Position

The Business Intelligence Analyst supports the Americas commercial organization by transforming enterprise data into trusted, actionable insights and measurable process improvements. Reporting to the Business Intelligence & Analytics Manager, the role partners with business functions and enterprise IT to deliver effective analytics tools, KPI governance, process insights, and data-quality improvements.

Requirements

Bachelor’s degree in Business Administration, Data Analytics, Information Systems, Finance, Economics, Engineering, Supply Chain, or a related field, or equivalent relevant experience.
5+ years of experience in business intelligence, commercial analytics, process analytics, CRM analytics, or a related analytical role
Advanced Power BI capability, including DAX, Power Query, semantic-model interpretation, data validation, drill-through design, performance optimization, and user-centered dashboard design.
Strong SQL skills for data extraction, reconciliation, profiling, , and validation across data warehouse or lakehouse environments
Strong commercial and financial acumen, including revenue, gross margin, price, volume, mix, conversion, retention, productivity, and cost-to-serve concepts
Hands-on experience with data profiling, duplicate detection, business-rule validation, root-cause remediation, data-quality scorecards, and data-governance practices.
Working knowledge of dimensional modeling, data grain, table relationships, hierarchies, KPI logic, data lineage, and master data.
Strong stakeholder-management skills, including prioritization, expectation setting, workshop facilitation, documentation, and transparent communication of data limitations.
Comfort working across cultures and organizational levels throughout the Americas, from frontline operations to executive leadership.
Ability to influence stakeholders, challenge assumptions constructively, and drive follow-through without direct authority.
Problem Solving Analysis Skills
Detail-Oriented
Adaptability
Sense of Urgency
Time Management
Resourcefulness
Independence

Nice To Haves

Experience in B2B industrial manufacturing, logistics, or distribution is preferred.

Responsibilities

Analyze commercial, financial, CRM, and operational performance to identify material exceptions, bottlenecks, and execution gaps affecting revenue, margin, productivity, service, or working capital.
Diagnose root causes using segmentation, variance analysis, funnel analysis, cohort analysis, process mapping, and targeted investigation rather than relying only on descriptive reporting.
Translate findings into prioritized actions and partner with accountable business owners to implement approved process, workflow, or operating changes.
Establish the baseline, target, owner, measurement period, and value hypothesis for priority initiatives; track realized revenue, margin, savings, productivity, adoption, or data-quality impact.
Facilitate requirements, root-cause, and action-planning sessions with frontline employees, functional leaders, technical teams, and executives.
Develop and maintain governed Power BI analytical products that highlight drivers, exceptions, risks, opportunities, and required actions, not only historical results.
Create role-specific scorecards and self-service experiences using clear KPI definitions, intuitive navigation, appropriate drill paths, and documented business logic.
Validate calculations, relationships, data grain, refresh behavior, security requirements, and source-to-report reconciliation before release.
Monitor adoption and decision usage; improve, consolidate, automate, or retire reports that do not support a defined decision or business process.
Prioritize requests by business value, urgency, strategic alignment, effort, and data readiness to prevent low-value ad hoc reporting from displacing higher-impact work.
Analyze Dynamics 365 user behavior, opportunity-stage discipline, pipeline completeness, sales-cycle duration, account coverage, activity quality, and process adherence.
Identify CRM data-entry friction, incomplete records, duplicate entities, inconsistent definitions, ownership gaps, and workflow issues; coordinate remediation with process owners and enterprise IT.
Profile customer, product, vendor, pricing, opportunity, and activity data; maintain data-quality scorecards and monitor corrective actions to completion.
Define KPI standards, business rules, preventative controls, and data-entry practices with designated data owners to improve data quality at the source.
Document metric definitions, calculation logic, assumptions, data limitations, ownership, and escalation paths for critical analytical products.