Data Analytics Analyst

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 (under Strategic Planning), you will serve as a vital technical link between product planning, strategic pricing, and sales execution for Canon USA’s direct sales. This is a specialized role within the RevOps ecosystem: you will focus on internal program utilization, pricing efficacy, and ROI modeling to drive informed business decisions.
You will play a key role in our department’s digital transformation. While you will manage essential workflows involving legacy enterprise systems and Domo, 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

- Strategic Pricing Support: Own and evolve the Power BI reporting suite that supports the Strategic Pricing team. Analyze internal program usage (credit/discount programs) and perform ROI modeling to identify business opportunities
- Product Lifecycle Operations: Manage the critical workflow for product launches. This includes moving product data from Domo into the Enterprise ERP, creating item codes, and managing Price Books
- Proprietary System Management: Collaborate with internal IT teams to manage and audit proprietary sales configuration and pricing systems. Act as the functional expert for Revenue Operations to ensure data integrity and logic flow within custom enterprise applications
- Advanced Data Analysis: Use SQL and Python to extract, consolidate, and analyze data from disparate sources. Provide ad-hoc reporting and "big picture" summaries for Product Planning and Strategic Pricing leadership
- Workflow 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: Appropriately leverage Generative AI tools to assist in writing/debugging code (SQL/Python/Apps Script) and documenting complex legacy workflows to increase team efficiency
- Cross-Functional Crossover: Act as a liaison to the Sales Data Analytics team, ensuring marketing and pricing data integrates effectively with enterprise-wide sales reporting

About You: The Skills & Expertise You Bring

- Education: Bachelor’s degree in Analytics, Mathematics, Statistics, Business, Finance, or a related discipline
- Experience: 3 to 5 years of related experience in data or revenue operations. Experience in product/solutions sales environments is highly preferred
- Technical Proficiency:
o Data Tools: Strong proficiency in SQL and Python for data manipulation and analysis
o Visualization: Demonstrated experience building and maintaining reports in Power BI
o Modern Ecosystems: Familiarity with Microsoft Fabric and Google Workspace (specifically Google Apps Script)
o Legacy & Proprietary Systems: Comfortable working within MS Access, Excel, and legacy ERP environments. Proven ability to quickly learn and master custom, internally-built applications
- GenAI Literacy: Familiarity with using Generative AI platforms (., Gemini, ChatGPT) to optimize technical workflows and data analysis tasks
- Financial Literacy: General familiarity with financial reporting and ROI modeling to support pricing analytics
- Detail Orientation: Extreme attention to detail is required, as accuracy in item code creation processes and price book maintenance is essential to active sales operations
- Flexibility: Ability to work overtime as required, particularly during monthly reporting cycles and peak product launch windows

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