Analytics Strategy Lead, Retail/CPG & GenAI Solutions

Tiger Analytics

United States

On-site

USD 120,000 - 170,000

Full time

14 days+
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Job summary

Tiger Analytics is seeking a business-first consultant who can work directly with business leaders to translate complex decisions into data- and AI-enabled solutions. This role goes beyond traditional requirements gathering, focusing on understanding operations, identifying critical decisions, and mobilizing AI tools and expert teams to solve problems.

The ideal candidate has extensive experience using data and analysis to support business decisions, comfort with GenAI and agentic technologies,

Qualifications

  • 10+ years in business analytics or strategy/management consulting.
  • Retail/CPG experience preferred.
  • Ability to translate business questions into analyses.
  • Comfort with GenAI and AI agents.
  • Excellent written and executive communication.

Responsibilities

  • Understand the business and the decision: engage stakeholders to understand objectives, economics, processes, constraints and the decisions.
  • Challenge and structure problems: ask the right questions and convert ambiguities into hypotheses and decision frameworks.
  • Use data to develop insights: analyze data, identify patterns and translate findings into business implications.
  • Rapidly prototype solutions: use GenAI, Agentic AI, analytics and low-code/no-code tools to explore ideas and prototypes.
  • Orchestrate expertise: leverage data scientists, engineers, domain experts and AI agents.
  • Drive from insight to action: communicate findings in business language and translate into measurable outcomes.
  • Continuously learn: experiment with emerging AI capabilities and their business impact.

Skills

Business stakeholder mgmt
Analytical problem-solving
Strategic thinking
Executive communication
GenAI interest

Tools

Excel
SQL
Python
BI Visualization

Job description

Tiger Analytics is seeking a business-first consultant who can work directly with business leaders to translate complex decisions into data- and AI-enabled solutions. This role goes beyond traditional requirements gathering, focusing on understanding operations, identifying critical decisions, and mobilizing AI tools and expert teams to solve problems.

The ideal candidate has extensive experience using data and analysis to support business decisions, comfort with GenAI and agentic technologies,

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