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KEATING

Sales Forecasting Analyst

KEATING

. Perform data mining, trend analysis, statistical analysis, and business forecasting .

Posted 10/17/2026full-timeGrand Rapids • Michigan • United StatesJunior💰 $67,000 - $95,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data mining, statistical analysis, and business forecasting to drive data-driven decision-making. Proficient in developing automated reporting solutions and maintaining data integrity across commercial databases.

Highest-signal resume keywords
Data MiningStatistical AnalysisBusiness ForecastingAdvanced Excel ProficiencySQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisProcess ImprovementBusiness Process DocumentationCapacity AssessmentTrend AnalysisForecastingAutomation ImplementationKPI ReportingDashboard DevelopmentMarket Analysis
Soft Skills
CollaborationCommunicationProblem-SolvingLeadership
Tools & Technologies
Power BIPower QueryVBAMacrosBusiness Intelligence ToolsData Management Tools
Industry Keywords
Automotive Industry ExperienceSupply ChainBusiness AdministrationSales SupportData Governance

Tech Stack

Tools & technologies
PythonSQLVBA

About the role

Key responsibilities & impact
  • Perform data mining, trend analysis, statistical analysis, and business forecasting
  • Translate complex data into actionable business recommendations
  • Support leadership decision-making through data-driven insights
  • Assist with forecasting, budgeting, planning, and capacity assessments
  • Conduct business, customer, tariff, and market-related analysis
  • Analyze existing business processes and identify opportunities for simplification, automation, and efficiency gains
  • Design, document, implement, and maintain standardized business processes across commercial functions
  • Lead continuous improvement initiatives from concept through rollout
  • Partner with Sales, Finance, Program Management, Engineering, Capacity Management, Purchasing, and IT to improve workflows and data accuracy
  • Create process documentation, training materials, and standard operating procedures
  • Drive adoption of new processes and tools across the organization
  • Manage and maintain large datasets supporting sales forecasting, customer demand, pricing, tariffs, market intelligence, and strategic planning
  • Develop and maintain dashboards, KPI reporting, and executive-level presentations
  • Identify opportunities to reduce manual work through automation
  • Develop tools using advanced Excel, Power Query, Power BI, SQL, Python, VBA/macros, and other business applications
  • Collaborate with IT to implement scalable business system solutions
  • Create automated reporting solutions and data management tools
  • Improve data integrity and governance across commercial databases
  • Support special projects and strategic initiatives for commercial leadership
  • Serve as a trusted resource for complex operational and analytical challenges
  • Perform other duties as assigned by Management

Requirements

What you’ll need
  • Must work onsite; no relocation offered
  • Must be legally authorized to work without requiring current or future sponsorship
  • Bachelor's degree required in Business, Data Analytics, Information Systems, Mathematics, Statistics, Engineering, Education, Supply Chain, Finance, or a related field
  • 1–3 years of experience in analytics, operations, process improvement, process coordination, business administration, supply chain, sales support, or related business functions
  • Equivalent combinations of education, technical training, internships, co-op experience, and demonstrated analytical capabilities will be considered
  • Experience working with data, reporting, process improvement, or systems administration preferred
  • Automotive industry experience is a plus but not required
  • Advanced proficiency in Microsoft Excel, including complex formulas, Pivot Tables, Power Query, and data analysis tools
  • Experience working with large datasets and maintaining data accuracy
  • Ability to learn and utilize business intelligence and reporting tools
  • Familiarity with SQL, Python, Power BI, VBA, macros, or other automation tools preferred
  • Ability to identify opportunities for automation and implement practical solutions