
Manager, Senior Manager β Analytics Consulting, Retail/CPG
Posted Sep 15

Posted Sep 15
This is a fully remote position, open to applicants in Illinois, +1 more state.
β’ Collaborate with business stakeholders to grasp objectives, economic factors, processes, constraints, and decision-making.
β’ Question assumptions and transform unclear business challenges into well-defined hypotheses, analyses, and decision-making frameworks.
β’ Analyze and interpret data, perform quick analyses, identify trends, and convert findings into actionable business implications and recommendations.
β’ Utilize GenAI, Agentic AI, analytics, and low-code/no-code tools to brainstorm ideas, evaluate information, and create functional prototypes.
β’ Work alongside data scientists, engineers, domain specialists, product teams, and AI agents when advanced expertise is necessary.
β’ Present findings in straightforward business terminology, suggest actionable steps, and convert recommendations into quantifiable business outcomes.
β’ Experiment with new AI and technology capabilities to enhance business decision-making.
β’ Over 10 years of experience in business analytics, strategy/management consulting, commercial analytics, operations, supply chain, finance, marketing/customer analytics, product management, or a similar decision-focused business environment.
β’ Strong business curiosity paired with excellent problem-solving skills.
β’ Experience collaborating directly with business stakeholders and senior leadership.
β’ Previous experience in the Retail/CPG Industry is highly preferred.
β’ Strong analytical mindset and comfort in handling data directly.
β’ Ability to progress from business questions to hypotheses, analyses, insights, and ultimately decisions/actions.
β’ Capability to constructively challenge stakeholders instead of merely accepting their requirements.
β’ Comfort in navigating ambiguity and addressing loosely defined challenges.
β’ Exceptional written, verbal, and executive communication abilities.
β’ Familiarity with Excel, SQL, BI/visualization tools, and/or Python.
β’ Keen interest and hands-on skills with GenAI, AI agents, and new productivity/development tools.
β’ Quick learner of new technologies without needing to be an expert software engineer.
β’ Ability to unite business, analytics, technology, and specialist teams to deliver solutions swiftly.
β’ Substantial opportunities for career development.
β’ Chance to be part of a small, rapidly expanding, challenging, and entrepreneurial setting.
β’ High level of individual responsibility.
β’ Equal employment opportunities protected by federal, state, and local laws.
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