Hybrid Data Analytics Associate — AI & Data Quality

MERCY COLLEGE; Village of Dobbs Ferry (NY); Hybrid; USD 54,000 - 82,000; Full time

Benefits offered by this job

Employee referral bonus

Dress for Your Day attire program

Volunteer opportunities

Canon welcome kit

Job summary

Canon U.S.A., Inc. seeks an entry-level professional to support AI-powered data hygiene and automated matching tools.

You will analyze and cleanse data across Oracle, Dun & Bradstreet, ZoomInfo, Salesforce.com, and CSA analytics, applying machine learning to improve data quality and forecasting for sales territory planning. You will collaborate with Sales Leadership and Branch Administration to develop data-backed quota and territory strategies, and report to management on key metrics, while

Qualifications

• Bachelor’s degree in a relevant field or equivalent experience.
• Have a strong knowledge of Microsoft Office, Excel, Access, and Power BI applications.
• Be detail oriented, articulate, and well-organized.
• Possess strong communication, troubleshooting and follow-up skills.
• Prefer knowledge of Oracle & Saleforce.com.
• Utilize project management and reporting skills to assist with departmental projects
• Ability to meet strict deadlines and work effectively under pressure
• Exhibit a basic understanding of financial and accounting statements and concepts
• Must have the business acumen to work with technical and non-technical colleagues, sales personnel, various level of sales management and executive staff.

Responsibilities

• Data Management, Operations & AI Responsibilities
• Performs data analysis with regard to client requests and develop rules/methodologies for effective data management.
• Extracts, analyze, massage, cleanse and update data from Oracle, Dun & Bradstreet, ZoomInfo, Salesforce.com and CSA web site analytics on a routine basis.
• Uses machine learning models to automatically detect, flag, and fix duplicate or corrupted records across Salesforce and Oracle.
• Analysis and validation of new Prospect records entered by sales into Salesforce.com.
• Implements AI algorithms to score and rank incoming prospect data from ZoomInfo and Dun & Bradstreet based on conversion potential.
• Participates in ongoing decisions concerning data collections, methodology, best practices for ensuring accurate and clean data.
• Effectively creates/runs reports and performs data extracts as requested by the business in a timely manner.
• Employs generative AI tools to turn complex data extracts into plain-language summaries for company management.
• Analyzes data with standard statistical methods, interpret results and present results to company management as requested.
• Maintains data integration between Salesforce.com and Oracle applications.
• Evaluates and maintains integrations between traditional databases and emerging AI data platforms to reduce manual work.
• Liaison with 3rd party vendors like Dun & Bradstreet to analyze and maintain data worthiness.
• Maintains Sales Territories, Hierarchies and Resources in appropriate systems.
• Effectively analyze Sales Territories to help Market Leaders develop their sales coverage plan.
• Leverages AI forecasting models to help market leaders build smarter sales coverage plans and spot market trends.
• Accountable for maintaining a high level of customer service.

Skills

Data analysis

AI governance

Data hygiene

Machine learning basics

Communication

Project management

Forecasting

Education

Bachelor’s degree in a relevant field or equivalent experience

Tools

Oracle

Salesforce.com

Dun & Bradstreet

ZoomInfo

Power BI

Job description

Canon U.S.A., Inc. seeks an entry-level professional to support AI-powered data hygiene and automated matching tools.

You will analyze and cleanse data across Oracle, Dun & Bradstreet, ZoomInfo, Salesforce.com, and CSA analytics, applying machine learning to improve data quality and forecasting for sales territory planning. You will collaborate with Sales Leadership and Branch Administration to develop data-backed quota and territory strategies, and report to management on key metrics, while