Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 500 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are headquartered in Silicon Valley and have our global delivery center in India.
If you are passionate about working on unstructured business problems and data engineering programs leveraging data and excited about building, leading, and enabling a team of analytics and data engineering professionals toward that objective, we would like to talk to you.
Responsibilities:
- As a client partner, you will be responsible for account management, client relationships, and account growth.
- You will work on some of the latest applications of data science, data engineering, ML Engineering, and BI to solve complex business problems.
- You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value.
- You will collaborate with the client’s business stakeholders to understand key business questions and challenges, helping develop a roadmap that identifies and prioritizes key initiatives.
- You will explore opportunities with current and new buying centers and collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth.
- You will be responsible for P&L for your account portfolios managing revenue and margin goals.
Qualifications:
- 16+ years of experience in delivering advanced analytics-based consulting services to clients and experience in designing/implementing large data engineering programs.
- Experience in managing large accounts and active involvement in account growth; P&L ownership in the past would be an added advantage.
- Ability to engage with CXO and VP/Director level stakeholders from the client’s team and with internal remote teams to define business problems and construct solution approaches in the areas of Pricing, Underwriting, Marketing, Distribution, Claims, and Operations.
- Knowledge of domains like Financial Services, Supply Chain, Manufacturing, and Pharma.
- Experience in the latest open-source cloud-based tech stack.
- Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc., preferably in an insurance business context.
- Present or past experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, with exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive being an advantage.
- Excellent communication (written and verbal) and presentation skills.
- Ability to work with global teams, playing a lead role in communicating client business problem context to the remote teams and leveraging them effectively in execution, while owning client presentation, project management, and expectation setting.
- NJ/NY based with openness to travel (up to 50%) mostly in the US Northeast.
- Education Qualification - Bachelor's or higher degree in Statistics, Mathematics, or a related quantitative field.
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.
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