Business Analyst Lead - Insurance

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 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're looking for a consulting professional, preferably at a managerial level, with excellent storytelling experience. This person will collaborate with senior leadership and the offshore team and has to have some background in the Insurance industry. The candidate has to have exposure to and understand the insurance business as he/she will be working to empower the existing insurance products of the client.

Responsibilities

• Work on the latest applications of analytics to solve business problems
• Work directly with client stakeholders to translate business problems into high-level analytics solution designs
• Present analytic solutions to business audiences, highlighting the robustness of the solution and how it could help generate business value
• Responsible for managing analytics projects and collaborating with client stakeholders and Tiger’s team situated globally.
• Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
• Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions

• 5-10 years in data analysis and profiling, specifically within the healthcare insurance domain with a graduate degree in Business Analytics, MBA, or a related field.
• Robust and hands-on SQL and Python skills and experience with visualization tools Tableau/PowerBI
• Must have strong communication skills
• Must have some Insurance industry background and potentially well versed with the billing functionalities (Payroll billing, Direct Billing)
• Convert business requirements into smaller workstreams for the data engineers and other analysts on the team
• Use data to drive actionable insights and calculate the impact of various launched features.
• Knowledge of statistical and machine learning algorithms
• Strong project management and team management skills and ability to work with global teams

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.