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Analytics Business Partner
Industrial Electric Mfg. (IEM). Work directly with leaders to understand business problems, determine needed data, assess data availability and accuracy, and challenge incorrect questions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in business intelligence and analytics, with a strong focus on KPI definition, data quality assessment, and the ability to communicate complex findings to non-technical stakeholders. Proficient in leveraging BI and AI tools to drive data-driven decision-making and operational improvements.
Highest-signal resume keywords
5+ Years Experience In BIStrong SQLHands-On Experience Using TableauFamiliarity With Snowflake And dbtAnalytical Depth Beyond Visualization Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisKPI DefinitionData Quality AssessmentHypothesis TestingEnd-To-End AnalyticsBusiness Logic MaintenanceRoot Cause AnalysisData ValidationConsultative SkillsImpact Measurement
Soft Skills
Consultative InstinctsStrong JudgmentCommunication SkillsTraining And Adoption Facilitation
Tools & Technologies
TableauAI ToolsBI ToolsERP SystemsCRM SystemsDbtSnowflake
Industry Keywords
ManufacturingData-Driven OperationsBusiness AnalyticsEmbedded ExperienceSource Systems
Tech Stack
Tools & technologiesERPSnowflakeSQLTableau
About the role
Key responsibilities & impact- Work directly with leaders to understand business problems, determine needed data, assess data availability and accuracy, and challenge incorrect questions
- Diagnose KPI changes, identify root causes, and provide recommendations
- Own the analytics roadmap, prioritizing work by business value and ROI
- Define and maintain KPIs and business logic with SMEs and Analytics Engineers
- Identify data quality issues across ERP, HR, CRM, and other systems and drive source-level fixes
- Design, build, maintain, validate, and QA end-to-end analytics using BI and AI tools
- Partner with Analytics Engineers on dbt models and certified data sources, and with Data Engineers on new source data
- Design and run operating reviews; support planning and goal-setting; own recurring leadership reporting and written summaries
- Train users, drive adoption, and help leaders answer their own data questions
Requirements
What you’ll need- 5+ years of experience in BI, analytics, or a data-driven operations role, with a track record of analysis that changed business decisions
- Real knowledge of the business area supported, or years of embedded experience inside that kind of team
- Analytical depth beyond visualization skills; ability to form hypotheses, test data, and explain findings to non-technical audiences
- Hands-on experience using Tableau and AI tools to build analytics and speed up analysis, with examples of impact
- Consultative instincts and confidence to advise leaders
- Experience across multiple source systems and with SMEs who own them, including reconciling definitions and building trust in numbers
- Strong judgment in presenting data and validating AI-built results
- Strong SQL
- Familiarity with Snowflake and dbt, or demonstrated ability to learn them quickly
- Bachelor's degree in data analytics, Engineering, Business, Operations, or related field, or equivalent professional experience
- Preferred: experience in manufacturing, including ERP data structures
Benefits
Comp & perks- Comprehensive and competitive benefits package designed to support employees' well-being, growth, and long-term success
- Up to 20% travel to IEM facilities