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Department/Division: Solutions/Innovation
Duration: Permanent
Type of Role: Hybrid
The Role
The Junior AI Analyst provides vital analytical support to both the AI Operations Manager and Applied AI Consultant. This role serves as the analytical backbone for AI initiatives, gathering and analyzing data, conducting research, preparing reports and presentations, and assisting with the implementation and monitoring of AI solutions. A critical responsibility includes maintaining compliance documentation, particularly AI Use Case and AI Product Inventories, while applying process improvement tools to enhance efficiency. This role addresses defined analytical problems, data preparation challenges, documentation organization needs, basic process analysis tasks, and engages in supervised problem-solving activities.
Required experience, skills, and attributes
Core Responsibilities
* Support strategic AI initiatives and implementation work across the organization
* Maintain compliance documentation, including AI Use Case and AI Product Inventories
* Assist with process improvement activities using basic DMAIC methodology
* Collect, clean, and analyze data to support AI project decision-making
* Prepare reports and visualizations to communicate findings to stakeholders
* Conduct research on AI trends, technologies, and best practices
* Monitor performance of implemented AI solutions and identify improvement opportunities
* Provide general analytical support to the AI team
* Handle administrative and project support tasks as needed
* Assist with documentation of AI processes and procedures
Required expertise
* Bachelor's degree in Law, Computer Science, Data Science, Statistics, or related field
* Proficiency with data analysis tools (e.g., Excel, Power BI)
* Data visualization skills and experience creating clear, informative reports
* Strong analytical thinking and problem-solving abilities
* Excellent written and verbal communication skills
* Ability to work collaboratively in cross-functional teams
Preferred expertise (either through academic study, independent study or work experience)
* Basic programming knowledge (Python preferred)
* Familiarity with SQL and database concepts
* Basic understanding of statistical methods and their application
* Knowledge of basic DMAIC methodology
* Knowledge of AI ethics and responsible AI principles
* Familiarity with project management methodologies
* Experience with data governance frameworks
* Familiarity with compliance requirements in technology implementation
* Basic process mapping, Pareto analysis for prioritization, 5S for documentation organization, data collection for DMAIC projects, and basic process improvement techniques.
* Certifications in relevant areas (e.g., data analysis, process improvement) or willingness to obtain
Success profile: Self-starter with strong multi-tasking ability, excellent organizational skills, attention to detail, curiosity, learning agility, and a process improvement and problem-solving mindset are essential for success in this role.
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