Associate Analyst, AI

• Research, plan, and evaluate the effectiveness of artificial intelligence models, automated systems, and data-driven methodologies
• Review operational metrics to identify, analyze, and resolve technical bottlenecks
• Interpret company policies on data governance and AI ethics
• Analyze, maintain, and cleanse complex data across Oracle, Dun & Bradstreet, Zoom Info, and  databases
• Provide analytical support to Sales Leadership and Branch Administration teams
• Integrate machine learning models, predictive analytics, and intelligent forecasting platforms into territory analysis
• Optimize prospect viability scoring, establish territory equity, and support data-backed quota development
• Develop rules and methodologies for effective data management
• Extract, analyze, massage, cleanse, and update data from business databases and website analytics
• Detect, flag, and fix duplicate or corrupted records using machine learning models
• Analyze and validate new prospect records in
• Score and rank prospect data based on conversion potential
• Create and run reports and perform data extracts
• Use generative AI tools to create plain-language summaries for management
• Analyze data using standard statistical methods and present results to management
• Maintain data integration between  and Oracle applications
• Evaluate and maintain integrations between traditional databases and emerging AI data platforms
• Liaise with third-party vendors such as Dun & Bradstreet
• Maintain sales territories, hierarchies, and resources in appropriate systems
• Analyze sales territories and help market leaders develop sales coverage plans
• Use AI forecasting models to identify market trends and improve sales coverage plans
• Provide a high level of customer service

• Bachelor's degree in a relevant field or equivalent experience required
• 0 to 2 years of related experience
• Strong knowledge of Microsoft Office, Excel, Access, and Power BI
• Detail-oriented, articulate, and well-organized
• Strong communication, troubleshooting, and follow-up skills
• Knowledge of Oracle and  preferred
• Project management and reporting skills
• Ability to meet strict deadlines and work effectively under pressure
• Basic understanding of financial and accounting statements and concepts
• Business acumen to work with technical and non-technical colleagues, sales personnel, sales management, and executive staff
• Must be legally authorized to work in the United States
• Company will not pursue or support visa sponsorship
• Must reside in the United States at the time of hire

Demonstrates expertise in data analysis, machine learning integration, and data governance while providing analytical support to sales leadership. Proficient in utilizing AI tools and statistical methods to enhance data-driven decision-making and optimize sales strategies.

• Data Analysis
• Machine Learning Integration
• Proficiency
• Microsoft Excel Expertise
• Data Governance

• Data Cleansing
• Predictive Analytics
• Statistical Methods
• Data Management
• AI Forecasting Models
• Oracle Database Management
• Sales Territory Analysis
• Reporting Skills
• Quota Development
• Data Extraction

• Detail-Oriented
• Strong Communication
• Troubleshooting Skills
• Organizational Skills
• Ability to Work Under Pressure

• Data-Driven Methodologies
• AI Ethics
• Operational Metrics
• Customer Service
• Business Acumen

• Oracle
• Microsoft Office
• Power BI
• Dun & Bradstreet
• Zoom Info
• Generative AI Tools