Senior Analyst

Key responsibilities include: Partner with teams across the company to understand their workflows, extract institutional and domain knowledge (data schemas, SQL queries, business logic), and reorganize it into a documented, AI-consumable knowledge base. Design and implement AI-driven solutions as ongoing, maintainable processes rather than one-off fixes — thinking in terms of systems that scale across the department. Evaluate and recommend AI tools and platforms, tracking new developments beyond mainstream tools (e.g., ChatGPT, Claude) and assessing their fit for CLIENT's needs. Mentor and train business users who have ideas but lack the technical skill to implement them — teaching best practices and running hands‑on sessions so teams can use AI tools independently. Analyze operational and business data to identify opportunities for automation, forecasting, and cost savings, ensuring the underlying variables and objectives are well understood before applying AI to a problem. Build and maintain reports and dashboards that track the performance and impact of AI-driven initiatives. Support presentations of findings and project updates to leadership. Support budget tracking, vendor coordination, and documentation for AI initiatives. Provide day-to-day guidance and oversight to the Analyst, AI Integration and Operations Efficiency, reviewing their work and helping develop their skills. Education and experience: Bachelor's degree; business, finance, accounting, information systems, or computer science preferred. No AI-specific degree is expected — the field is new enough that hands‑on, self‑directed experience matters more than formal coursework. Minimum of two years of professional experience in data analysis, business analytics, AI/technology implementation, or a related field. Demonstrated, hands‑on AI experience beyond general chat use — e.g., working with AI coding tools, connectors, automations, or agentic workflows. A GitHub or portfolio of past work is a plus. Working knowledge of SQL and the ability to understand relationships between tables and data warehouse structure. Proficiency with data visualization tools (e.g., Power BI, Tableau); Python is a plus. Strong business acumen — able to understand what a process or metric is actually accomplishing, not only how to code it. Excellent interpersonal skills: able to build trust quickly with colleagues across departments, draw out how work really gets done, and explain technical concepts clearly to non-technical audiences. Comfortable presenting findings and recommendations to leadership. Experience in food service, logistics, distribution, finance, or procurement is preferred. Essential skills & qualifications: Demonstrates strong independent analysis and critical thinking skills, applying sound judgment to solve problems and support business objectives. Brings expanded work experience and role‑specific education or expertise, along with intermediate to advanced proficiency in Microsoft Office and related systems. Effectively leads and contributes to discussions, articulating ideas and providing value‑driven insights relevant to their work and the organization. Shows initiative by proactively identifying opportunities, taking ownership of responsibilities, and seeking out additional tasks and challenges. Builds collaborative relationships by beginning to engage with a variety of stakeholders across teams and functions. Operates with a high level of accountability and reliability, requiring minimal supervision while consistently delivering quality results. Desired skills: Experience implementing AI-driven forecasting or modeling that goes beyond static tools (e.g., building dynamic models with adjustable variables). Familiarity with process mapping, workflow documentation, and change management for new tools. Experience mentoring or training others, or leading workshops. Interest in AI ethics and responsible use of AI in business operations. #J-18808-Ljbffr