US-CA-Irvine

Job ID: 34036
Type: Full-Time

of Openings: 1

Category: Sales Support
CUSA Western Regional Office

About the Role

Canon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link between product planning, strategic pricing, and sales execution for direct sales. This is a specialized role within the RevOps ecosystem: you will focus on internal program utilization, pricing efficacy, and deep-dive business analytics to drive informed decision-making.

Success in this role requires a candidate who understands the B2B sales cycle and how (SFDC) serves as the backbone of sales reporting. You will play a key role in our department’s digital transformation. While you will manage essential workflows involving legacy enterprise systems, you will also be a primary architect for our future reporting landscape in Microsoft Fabric and Power BI. We value technological agility and look for candidates who leverage modern tools-including Generative AI (GenAI)-to accelerate coding, automate manual processes, and navigate complex data environments.

This position is full time and offers a hybrid work schedule requiring you to be in the office Monday, Tuesday and Wednesday and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs.

Your Impact

Core Responsibilities

1. Business Strategy & Profitability Analytics

• Customer Segmentation: Analyze and define our customer base to identify “Who are our customers?” and categorize them by behavior, size, and loyalty.
• Profitability Modeling: Perform deep-dive analysis into sales data to identify which customers and accounts yield the highest profit margins.
• Vertical Performance: Track and report on Gross Profit (GP) by Vertical, identifying trends in specific industries to help leadership pivot strategy.
• Predictive Insights: Use historical data to forecast which programs or product mixes will drive the most significant ROI for the direct sales force.

1. Business Intelligence

• Reporting Architecture: Own and evolve the Power BI reporting suite that supports all business units.
• Financial Modeling: Analyze internal program usage (credit/discount programs) and perform ROI modeling to identify business opportunities.
• Executive Summaries: Consolidate data from disparate sources to provide “big picture” summaries and storytelling for Product Planning and Strategic Pricing leadership.

1. Data Engineering & Workflow Automation

• Technical Stack: Use SQL and Python to extract, consolidate, and analyze data from disparate sources.
• Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and bridge gaps between Google Workspace and Microsoft-based legacy tools.
• AI-Augmented Productivity: Leverage Generative AI tools to assist in writing/debugging code (SQL/Python/Apps Script) and documenting complex legacy workflows.

1. Sales Ecosystem Integration

• CRM & Sales Cycle Alignment: Apply an understanding of the B2B sales cycle and (SFDC) to ensure that item codes, pricing logic, and reporting structures align with field sales requirements.

About You: The Skills & Expertise You Bring

• Bachelor’s degree in a relevant field or equivalent experience required, plus 3 to 5 years of related experience
• Technical Proficiency:
  • Data Tools: Strong proficiency in SQL and Python for data manipulation.
  • Visualization: Experience building advanced reports in Power BI (specifically for GP and Vertical analysis).
  • Modern Ecosystems: Familiarity with Microsoft Fabric and Google Apps Script and bridging Google/Microsoft environments.
  • Systems: Working knowledge of (SFDC) and legacy ERP environments.
• Business Acumen:
  • Strong Financial Literacy, specifically in calculating Gross Profit, ROI, and margin analysis.
  • Solid understanding of B2B sales cycle and customer segmentation strategies.
• Experience: 3 to 5 years in a highly technical Data or Revenue Operations role. Experience in a product/solutions sales environment is highly preferred.
• GenAI Literacy: Familiarity with using Generative AI platforms to optimize technical workflows.
• Detail Orientation: Extreme attention to detail is required.

We are providing the anticipated salary range for this role: $69,300 - $103,770 annually

Company Overview