
1001 - 5000 employees
Founded 2011
🤖 Artificial Intelligence
🤝 B2B
Artificial Intelligence • B2B • Consulting
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.
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1001 - 5000 employees
Founded 2011
🤖 Artificial Intelligence
🤝 B2B
Artificial Intelligence • B2B • Consulting
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 Life Sciences stakeholders to understand business requirements and translate them into analytical solutions • Translate launch strategy into segmentation frameworks, KPIs, and data products used by commercial leadership. • Drive stakeholder alignment across Marketing, Sales, Market Access, and Analytics • Own and prioritize the product backlog, ensuring alignment with launch milestones. Partner with the engineering team to design Snowflake-native data models optimized for scalability and reuse. • Ensure strong Power BI semantic model understanding (measures, relationships, performance). • Enable self-service analytics through well-designed datasets—not dashboards alone. • Establish KPI governance, adoption tracking, and success metrics for the product. • Lead a small cross-functional pod (data engineers, analysts). • Operate in an agile delivery model with clear sprint outcomes and executive visibility. • Act as the primary interface between business stakeholders and the technical team.
• 15+ years in commercial analytics, data product management, or analytics consulting within pharma/life sciences. • Strong understanding of commercial pharmaceutical functions, including Sales, Marketing, Market Access, Patient Services, Omnichannel Engagement, and Launch Excellence. • Experience working with industry-standard datasets such as IQVIA, Symphony Health, Komodo, MMIT, Veeva, Claims, Specialty Pharmacy, Hub, and Patient-level data. • Experience supporting commercial analytics, field force effectiveness, customer targeting, segmentation, omnichannel measurement, forecasting, patient journey analytics, or launch readiness programs. • Strong technical expertise in SQL, cloud data platforms (Snowflake, Databricks, AWS, Azure, GCP), and BI tools such as Power BI and Tableau, with experience working in enterprise-scale analytics environments. • Solid understanding of data product development, including data modelling, semantic layer design, KPI frameworks, and Agile delivery methodologies, with the ability to translate business requirements into scalable analytics solutions • Proven experience owning product backlogs and driving roadmap execution. • Ability to operate independently in greenfield / build-from-scratch environments.
• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. • ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***
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