About Tiger Analytics: Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.
What you will be doing:
We are seeking an analytics professional to join our team and leverage advanced data science techniques to solve complex business problems for our enterprise clients. In this role, you will:
- Agentic AI Understanding & Delivery Ownership: Demonstrate a strong understanding of Agentic AI and AI agents, working closely with IT and business teams to define requirements, align on solution design, and manage end-to-end delivery. Take high ownership of execution, coordinating with the team responsible for building the agents to ensure solutions meet business objectives and deliver measurable value.
- End-to-End Analytics Solution Delivery: Develop and deliver end-to-end analytics solutions based on a deep understanding of business problems, ensuring efficient, predictable, and sustainable execution.
- Strategic Translation: Work directly with client stakeholders to translate business challenges into high-level analytics solution designs that generate actionable insights and business value.
- Stakeholder Management & Communication: Build strong relationships with client stakeholders, present analytical solutions to business audiences, and communicate findings and recommendations to senior management.
- Cross-Functional Collaboration: Collaborate with client stakeholders and globally distributed Tiger Analytics teams to manage analytics projects and ensure successful delivery.
- Analytical Problem-Solving: Work with team members to identify and apply appropriate data science and analytical techniques to derive meaningful insights and address business challenges.
- Business Value & Operationalization: Demonstrate the robustness and business impact of analytical solutions, and develop implementation plans to operationalize them effectively.
Requirements
- 6-10 years of professional work experience with at least 5 years in data analytics
- Identify and gather business requirements for AI agent use cases, define workflows and expected outcomes, and translate business needs into clear requirements for the technical team to build and implement agentic solutions.
- Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
- Solid understanding of statistical and machine learning algorithms
- Strong project management and team management skills and ability to work with global teams
- Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
- 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
Why Join Tiger Analytics:
- Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes.
- Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships.
- Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short-Term Disability, Life Insurance, HSA/FSA Accounts (USA), and Discretionary time off.
- Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation.
Benefits
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.
Skills Required
- 6–10 years of professional work experience, including at least 5 years in data analytics
- Experience identifying business requirements for AI agent use cases and translating them into technical requirements
- Ability to engage executive and VP-level client stakeholders and translate business problems into analytics solution approaches
- Solid understanding of statistical and machine learning algorithms
- Strong project management and team management skills
- Ability to work with global teams
- Strong SQL skills
- Hands-on experience with R and Python
- Experience with Qlik or Tableau visualization tools
- Exposure to cloud platforms and big data systems such as Hadoop HDFS and Hive
- Ability to collaborate with IT and Data Engineering teams to embed analytical outputs in business processes
- Graduate degree in Business Analytics, MBA, or equivalent work experience
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
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Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
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Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
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Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
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