
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.
🔥 9 minutes ago
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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.
• Partner with Retail/CPG business leaders to understand objectives, business drivers, and key decisions • Lead multiple concurrent value streams and drive initiatives through end-to-end delivery and value realization • Structure ambiguous business problems into clear hypotheses, analyses, and decision frameworks • Conduct hands-on analysis to identify trends, opportunities, performance gaps, and key bottlenecks, translating findings into actionable recommendations • Lead executive and operational decision support through data-driven analysis, planning, and performance insights • Identify and prioritize high-impact interventions across Pricing, Supply Chain, Sales & Marketing, and Forecasting • Identify opportunities to build and enhance Decision Support Systems (DSS), analytics solutions, and data products with product, analytics, and technology teams • Leverage GenAI, Agentic AI, analytics, and low-code/no-code tools to rapidly prototype solutions and accelerate decision-making • Orchestrate cross-functional teams including data scientists, engineers, domain experts, product teams, and AI specialists • Communicate insights and recommendations to senior stakeholders and drive alignment toward measurable business outcomes • Track delivery progress, business impact, risks, and dependencies across value streams • Explore emerging AI and technology capabilities and identify opportunities to apply them to business problems
• 10–15 years of experience in business analytics, strategy/management consulting, commercial analytics, operations, supply chain, finance, marketing/customer analytics, product management, or other decision-oriented business functions • Significant experience working in the Retail/CPG industry • Strong business-first consulting and problem-solving mindset, with experience working directly with business leaders • Strong understanding of retail functions such as Pricing, Supply Chain, Sales & Marketing, and Forecasting • Demonstrated ability to move from business question → hypothesis → analysis → insight → recommendation/action • Strong experience managing multiple workstreams and driving initiatives through end-to-end delivery • Strong stakeholder management and executive communication skills • Hands-on experience with SQL, BI/visualization tools and/or Python, along with strong analytical aptitude • Experience identifying business opportunities, prioritizing interventions, and translating analytics into measurable outcomes • Interest or hands-on exposure to GenAI, AI agents, automation, or emerging technologies • Ability to work effectively in ambiguous, fast-paced environments and rapidly learn and apply new technologies
• Significant career development opportunity • Fast-growing and challenging entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities
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