Manager, Analytics Consulting

🕒 September 5

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

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Logo of Tiger Analytics

Tiger Analytics

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Engage business stakeholders to understand objectives, economics, processes, constraints and decisions • Challenge assumptions and convert ambiguous business issues into clear hypotheses, analyses and decision frameworks • Explore and interpret data, conduct rapid analyses, identify patterns and translate findings into business implications and recommendations • Use GenAI, Agentic AI, analytics and low-code/no-code tools to explore ideas, analyze information and develop working prototypes • Leverage data scientists, engineers, domain experts, product teams and AI agents when deeper expertise is required • Communicate findings in simple business language, recommend actions and translate recommendations into measurable business outcomes • Experiment with emerging AI and technology capabilities to improve business decision-making

🎯 Requirements

• 8–10 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 • Strong business curiosity and problem-solving ability • Experience working directly with business stakeholders and senior leaders • Strong analytical orientation and comfort working hands-on with data • Ability to move from business question → hypothesis → analysis → insight → decision/action • Ability to challenge stakeholders constructively rather than simply accepting requirements • Comfort operating with ambiguity and solving loosely defined problems • Strong written, verbal and executive communication skills • Working familiarity with Excel, SQL, BI/visualization tools and/or Python • Strong interest and hands-on aptitude with GenAI, AI agents and emerging productivity/development tools • Ability to learn new technologies quickly without needing to be a deep software engineer • Ability to bring together business, analytics, technology and specialist teams to deliver solutions rapidly

🏖️ Benefits

• Significant career development opportunities • Opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities

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