Benefits: Signode offers a comprehensive benefits package to full-time employees, which includes health, dental, vision, 401k, paid time off, life insurance, wellness perks, and more. Benefits begin the month following the hire date.
Salary:The annual salary for this position ranges from $75,000 - $90,000 and varies based on specific responsibilities and geographic location. Starting annual salary within this range will be determined based on the candidate's experience, qualifications, and/or skillset.
Summary: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.
Business Performance & Process Improvements- 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.
Analytics & Data Quality- 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.
QualificationsEducation and Experience: - 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;
- Experience in B2B industrial manufacturing, logistics, or distribution is preferred.
- 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.
Interpersonal, Communications and Influencing skills:- 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.
Functional Success Drivers: These competencies are what we require for an individual to be successful in this role.
- Problem Solving
- Analysis Skills
- Detail-Oriented
- Adaptability
- Sense of Urgency
- Time Management
- Resourcefulness
- Independence
