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What is it like to work at Tiger Analytics?

Tiger Analytics is a data science and analytics firm that values collaboration, innovation, and continuous learning, fostering a dynamic and supportive work environment.

The company has a flat organizational structure, allowing for open communication and cross-functional teamwork among its data scientists, engineers, and consultants. Tiger Analytics' mission is to drive business growth through data-driven insights, and its projects often involve working with cutting-edge technologies and methodologies.

Working at Tiger Analytics may appeal to candidates who are passionate about data science and analytics, as the company offers opportunities to work on diverse projects, develop new skills, and contribute to the growth of its clients, with a focus on delivering high-quality results and making a meaningful impact.
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Infographic showing various Analytics Director job openings at Tiger Analytics in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 47% Physical, and 53% Remote job distribution.
Associate Director/Director - Analytics Consulting

Associate Director/Director - Analytics Consulting

Tiger Analytics Inc.

Chicago, IL • On-site

Full-time

Posted 4 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.
Responsibilities
Program Leadership & Delivery: Lead the end-to-end delivery of complex data and analytics programs. Own the roadmap, from problem definition and solution design to production-grade deployment.
Stakeholder Management: Act as the primary point of contact for client VPs and Directors. Translate unstructured business problems into high-level analytics solution designs.
Global Team Management: Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers. Ensure seamless collaboration across time zones.
Solution Architecture: Work with technical leads to design of scalable AI/ML pipelines and data architectures. Ensure solutions adhere to enterprise standards and leverage modern technology stack
Domain Expertise: Apply deep Insurance domain knowledge to validate model outputs and ensure they align with industry nuances
Commercial Impact: Present analytical findings and quantify the business value and drive the operationalization of AI into business processes.
Requirements
  • 13-15 years of total experience with 7+ years in Insurance domain with consulting.
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Deep knowledge and understanding of the US Insurance industry.
  • Strong project management and team management skills and ability to work with global teams.
  • Solid understanding of statistical and machine learning algorithms is a plus.
  • Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and 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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