Financial Analyst

Husqvarna Group; Charlotte (NC); On-site; USD 65,000 - 90,000; Full time

Job summary

The Husqvarna Group in Charlotte, NC seeks a Financial Analyst to support the North American Sales Organization with timely reporting to drive sales and profitability. You will identify process changes to streamline activities and improve productivity within the organization and sales team.

The role requires 2+ years of analytical experience, a BA/BS in Finance or related field, and strong Excel and PowerPoint skills.

Qualifications

• 2+ years' experience in an analytical role (sales analyst, financial analyst, business analyst, etc.)
• BA/BS in Finance, Business, Accounting or Data Analytics related field
• Proficient in PowerPoint
• Expert in Microsoft Excel
• Financial background or financial reporting experience preferred
• Data analysis or business intelligence tool experience preferred
• Data warehouse/data mining experience preferred
• Familiarity with AI tools and applications preferred
• Statistical analysis and experience preferred

Responsibilities

• Monitor, administer, report, and analyze sales commission programs.
• Collect and analyze large data sets from multiple systems to identify trends, issues, opportunities and gaps.
• Administer and report on program and promotion results with sales, finance, and marketing.
• Create internal scorecards for division activities and improvement areas; analyze CRM data.
• Develop and lead cross-functional projects within the division to reduce complexity and streamline processes.
• Identify root causes in data to propose sales and profitability improvements while promoting standards and best practices.
• Create processes by writing requirements, testing, rollout and implementing long-term process and written work instructions.
• Support ongoing initiatives with other analytical activities.

Skills

Analytical experience

Data analysis

Financial analysis

Education

BA/BS in Finance

Tools

Microsoft Excel

PowerPoint

Data analytics tools

Data warehouse

Data mining

Job description

Last date to apply:

We are continuously accepting applications.

The Financial Analyst supports the North American Sales Organization with timely and accurate reporting used to drive overall sales and profitability growth within the channels. The position is responsible for identifying and leading process change initiatives to streamline activities and improve productivity within the organization and sales team.

What You Need to Know:

• Efficiently monitor, administer, report, and analyze sales commission programs. Support the development of commission programs and recommend enhancements and improvements.
• Collect and analyze large sets of data from multiple systems to identify trends, issues, opportunities and gaps and turn it into information that can be the basis of decision-making
• Administer and report on program and promotion results in conjunction with sales, finance, and marketing
• Create internal scorecards for division activities and improvement areas. Analyze and provide feedback on Sales and CRM data.
• Develop and lead cross functional projects within the division to reduce complexity and streamline and align processes
• Root cause business issues through data analysis to suggest areas of sales and profitability improvement while promoting standards and best practices
• Create processes through analyzing and writing requirements, testing and rollout and implementing long term process and written work instructions for division
• Other analytical activities as required to support current and future initiatives

What We Are Looking For:

• 2+ years' experience in an analytical role (sales analyst, financial analyst, business analyst, etc.)
• BA/BS in Finance, Business, Accounting or Data Analytics related field
• Proficient in PowerPoint
• Expert in Microsoft Excel
• Financial background or financial reporting experience preferred
• Data analysis or business intelligence tool experience preferred
• Data warehouse/data mining experience preferredFamiliarity with AI tools and applications preferred
• Statistical analysis and experience preferred