Sales Aalyst

Sales Analyst

Location: Akron, OH Salary: $70,000 to $80,000

About The Opportunity: We are looking for a motivated and detail-focused Sales Analyst who enjoys working with data, identifying trends, and finding ways to make business operations more efficient. This role will play an important part in connecting sales performance with financial and operational results. You will work alongside multiple departments and leadership to provide accurate reporting, uncover insights, and help drive smarter business decisions. The ideal candidate is curious, adaptable, comfortable with technology, and eager to make a meaningful contribution to a growing organization.

Why This Opportunity Stands Out (Sales Analyst):

• Executive Exposure: Direct involvement in reporting and analysis that supports leadership decisions.
• Cross-Department Collaboration: Opportunity to work alongside Sales, Finance, and Operations.
• Technology & Innovation: Exposure to AI, automation, and modern reporting platforms.
• Ownership & Impact: Take responsibility for important reporting functions and process improvements.
• Career Development: Build valuable experience in financial analysis, sales operations, and business intelligence.

Key Responsibilities (Sales Analyst):

• Maintain the accuracy, consistency, and integrity of CRM data to support reliable business reporting and decision-making.
• Analyze sales pipelines, forecasting trends, customer engagement, and operational performance to identify opportunities and potential gaps.
• Collaborate with sales teams to improve data quality, address discrepancies, and ensure accurate recordkeeping.
• Create, update, and manage dashboards, performance reports, and KPIs to provide leadership with actionable business insights.
• Assist in preparing financial reports focused on revenue performance, profit margins, and sales projections.

Preferred Qualifications (Sales Analyst):

• Strong analytical mindset with the ability to interpret data, identify trends, and develop practical solutions.
• Advanced Microsoft Excel proficiency, including data analysis, financial modeling, formulas, and reporting.
• Working knowledge of financial principles, including revenue tracking, profit margins, forecasting, and variance analysis.