About the Role
Canon USA in Melville, NY is currently seeking a AI Operations & Data Analyst (Analyst, Data Analytics). In this role, you will sit at the intersection of data engineering, business strategy, and AI validation, to ensure our machine learning models and automated workflows deliver measurable value. You will be expected to develop and implement advanced AI capabilities to become a company expert in data collection, consolidation and analysis of real-world service operations data, specifically focusing on the Field Service to ensure machine learning models and automated workflows deliver actionable insights. This role will require some development of data visualization solutions and training on how to use those solutions so that key stakeholders can access information and drive improvements.
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
- Delivers standard reports and data visualization by required deadlines with consistent and reliable accuracy
- Develops and implements AI solutions to automate and create efficiencies of analyses of large confidential data files to meet company goals and objectives
- Audits and validates AI-generated outputs (LLM summaries, automated customer updates, predictive models) to eliminate hallucinations and ensure operational accuracy
- Tracks real-time reliability, bias mitigation, and accuracy metrics for deployed operational AI models
- Translates ambiguous business challenges into structured data workflows, automation pipelines, and measurable KPIs
- Designs intuitive Tableau/Power BI dashboards and translate complex AI insights into compelling narratives for executive stakeholders
- Creates data summaries and visualizations with the ability to present those results in various forms (presentations, interactive platforms, reporting, etc...)
- Partners with engineering teams to scope, test, and deploy high-impact workflow automation
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
- Education/Experience preferred in Business, Mathematics, Statistics, Analytics, Finance or similar discipline
- 3+ years of experience in data analytics, operations analytics, or chain, or print management operations
- Familiarity with cloud platforms (AWS ecosystem) and LLM orchestration frameworks (e.g., LangChain)
- Background supporting large enterprise accounts or client-facing delivery
- Analytic experience preferred. Preferred experience in product/solutions sales
- Significant knowledge of Microsoft Excel, including pivot tables, charts, graphs, and complex formulas
- Knowledge of Microsoft Access (or similar database skills) a plus
- Knowledge of Salesforce.com and Oracle a plus
- Knowledge of Power BI, Tableau, Domo, other reporting packages a plus
- Very detail oriented and consistently accurate
- Overtime as required, especially during monthly reporting for management meetings
We are providing the anticipated salary range for this role: $69,300 - $103,770 annually.
Company Overview
About our Company -#CUSA
Workstyle Description
Hybrid - This position is full time and offers a hybrid work schedule requiring you to be in the office three days a week 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.
Posting Tags
#PM19 #LI-AV1 #LI-HYBRID
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: CANONNY
- Position Id: 1a31c0129cd53fb63e4a8fb7b6097c5c
- Posted 30+ days ago
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