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. Now hiring for multiple opportunities in Technology Consulting and Solution Delivery.
Responsibilities
Requirement gathering
- Drive discussions with business and internal stakeholders to understand client requirements.
- Co-own and lead the planning, development, documentation, and day-to-day management of Data Science and AI solutions products prioritizing client’s objectives and business goals.
- Responsible for managing the account and building client relationships to ensure account growth.
- Identifying the right opportunities for Tiger, and playing a key role to see them to completion.
Scoping & Solutioning
- Ability to collaborate with Technical SMEs such as Data Scientists, Data Engineers, and ML Engineers from Tiger.
- Based on client requirements, detail out the scope of work and devise high-level task breakdown and timelines.
Minimum Requirements
- 10-15 years of professional work experience in data analytics and leading multiple projects and client stakeholders.
- Experience in analytics consulting is a must.
- At least 5-7 years of experience in the Healthcare/Health Insurance space.
- Serve as the primary point of contact for the Company, managing programs to ensure integrated efforts in HEDIS quality improvement.
- Identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness in HEDIS reporting.
- Ensure all analytical activities adhere to HEDIS guidelines, regulatory requirements, and industry standards.
- Ability to engage with executive/VP-level stakeholders from the client’s team to translate business problems into high-level analytics solution approaches.
- A 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 Tableau & Power BI.
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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