Sales Analytics & Insights Analyst

Timken

Norton Shores (MI)

On-site

USD 70,000 - 95,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
401(k) with match
Paid time off

Job summary

Rollon by Timken is seeking a Business Analyst to support sales and operations through data analysis, reporting, and insights. You will translate CRM and ERP data into actionable recommendations and help drive data-driven decisions at all levels.

The role focuses on forecasting, KPI dashboards, and collaboration with sales leadership to identify opportunities and improve data quality across the organization.

Qualifications

  • Bachelor's degree required.
  • 2–3 years B2B/Industrial experience preferred.
  • US work authorization only; no sponsorship.

Responsibilities

  • Analyze sales performance, trends, and forecasts by territory, segment, channel, and product line.
  • Extract, transform, and interpret data from CRM Dynamics and ERP systems to provide actionable insights.
  • Maintain and improve automated dashboards and reports using Power BI and Excel.
  • Prepare recurring reports and executive summaries on KPIs and customer behavior.
  • Support monthly and quarterly business reviews with visual reports and sales performance analysis.
  • Collaborate with sales leadership to evaluate opportunities and track campaign performance.
  • Identify data gaps and ensure data quality across the organization.
  • Develop and document data processes, dashboards, and reporting standards.

Skills

Data analysis
Forecasting
Analytical thinking
Cross-functional collaboration
Communication

Education

Bachelor's degree

Tools

Power BI
Excel
CRM Dynamics

Job description

Rollon by Timken is seeking a Business Analyst to support sales and operations through data analysis, reporting, and insights. You will translate CRM and ERP data into actionable recommendations and help drive data-driven decisions at all levels.

The role focuses on forecasting, KPI dashboards, and collaboration with sales leadership to identify opportunities and improve data quality across the organization.

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