Sr. Consultant/Manager - Business Decision & AI Consultant

New
T
Tiger AnalyticsAnalytics Consulting
Toronto, Ontario, CanadaFull-TimeManager
Salary not disclosed
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Job Details

Experience
5–10 years
Required Skills
PythonSQLBusiness AnalysisBusiness IntelligenceData AnalysisMicrosoft ExcelProblem SolvingGenerative AI

Requirements

  • 5–10 years of experience in business analytics, strategy/management consulting, commercial analytics, operations, supply chain, finance, marketing/customer analytics, product management, or a similar decision-oriented business environment.
  • Demonstrated business curiosity and strong problem-solving skills.
  • Experience working directly with business stakeholders and senior leaders.
  • Strong analytical orientation and comfort working hands-on with data to identify patterns.
  • Ability to translate business questions into clear hypotheses and actionable insights.
  • Comfort operating in ambiguous environments and solving loosely defined problems.
  • Strong written, verbal, and executive communication skills.
  • Working familiarity with analytical tools such as Excel, SQL, BI/visualization tools, and/or Python.
  • Strong interest in and hands-on aptitude with GenAI, AI agents, and emerging productivity/development tools.
  • Ability to learn and adapt to new technologies quickly.
  • Ability to collaborate across business, analytics, technology, and specialist teams.

Responsibilities

  • Engage with business stakeholders to understand objectives, economics, processes, constraints, and the decisions they are looking to make.
  • Ask thoughtful questions, constructively challenge assumptions, and translate ambiguous business issues into clear hypotheses, analyses, and decision frameworks.
  • Explore and interpret data, conduct rapid analyses, identify patterns, and translate findings into relevant business implications and recommendations.
  • Leverage GenAI, Agentic AI, analytics, and low-code/no-code tools to rapidly explore ideas, analyze information, and develop working prototypes.
  • Recognize when deeper expertise is required and effectively collaborate with data scientists, engineers, domain experts, product teams, and AI agents to develop solutions.
  • Communicate findings in simple business language, provide actionable recommendations, and work with stakeholders to translate recommendations into measurable business outcomes.
  • Experiment with emerging AI and technology capabilities and identify opportunities where they can meaningfully improve business decision-making.
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