AI Operations & Data Analyst
Canon Solutions America
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Benefits offered by this job
Job summary
Canon U.S.A., Inc. in Melville, NY is seeking an AI Operations & Data Analyst to bridge data engineering, business strategy, and AI validation, delivering valuable insights from real-world service data and building automated workflows.
The role focuses on developing AI capabilities, data visualization, and presenting results to executives, with a hybrid schedule requiring in-office three days a week and remote work the rest; strong Excel/Power BI/Tableau skills and experience with AWS and
Qualifications
- Bachelor's degree or equivalent experience required, plus 3–5 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
Responsibilities
- 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
- Transforms 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
Skills
Education
Tools
Job description
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.
- 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
- Transforms 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
- 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.
About our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years†. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at www.usa.canon.com and connect with us on LinkedIn at https://www.linkedin.com/company/canonusa.
Who We Are
Where Talent Fosters Innovation.
Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation.
What We Offer
You’ll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits.
And Even More Perks!
- Employee referral bonus
- Employee discounts
- “Dress for Your Day” attire program (casual is welcome, based on your job function)
- Volunteer opportunities to give back to our local community
- Swag! A Canon welcome kit and official merch you can’t get anywhere else†Based on weekly patent counts issued by United States Patent and Trademark Office.
All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensation.
We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers’ site https://www.usa.canon.com/about-us/life-at-canon, we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at https://www.usa.canon.com/about-us/life-at-canon. #CUSA
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.
- #PM19 #LI-AV1 #LI-HYBRID - 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.
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