Business Intelligence Analyst

Signode

• $75K — $90K *
Tampa, FL 33647In-Person
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Business Administration, Data Analytics, Information Systems, Finance, Economics, Engineering, Supply Chain, or related field, or equivalent experience.
  • 5+ years in business intelligence, commercial analytics, or related analytical role.
  • Preferred experience in B2B industrial manufacturing, logistics, or distribution.
  • Advanced Power BI skills, including DAX and user-centered dashboard design.
  • Strong SQL skills for data extraction and validation.
  • Solid understanding of commercial and financial metrics.
  • Hands-on experience with data quality and governance practices.

Responsibilities

  • Analyze commercial and operational performance to identify gaps affecting revenue and productivity.
  • Diagnose root causes using various analytical methods beyond descriptive reporting.
  • Translate findings into actionable steps and collaborate with business owners for implementation.
  • Establish metrics and track the impact of priority initiatives on business performance.
  • Facilitate sessions with stakeholders to gather requirements and plan actions.
  • Develop and maintain Power BI products that highlight key business insights.
  • Monitor and improve data quality and reporting processes.

Benefits

  • Comprehensive health, dental, and vision insurance.
  • 401k plan with company contributions.
  • Paid time off for work-life balance.
  • Life insurance coverage.
  • Wellness perks to support employee health.
Full Job Description
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.

Job Description

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.


Qualifications

Education 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

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