Lead Analytics/Business Intelligence

• Lead delivery for 10-15 data & visualization analysts. Role would involve working closely with the clients to understand their strategic priorities, identifying better solution, estimating the efforts required, managing and building the team for the project, and ensuring high delivery standards.
• Data Extraction, Cleansing and Manipulation - Handle large volume of data, research for variables and work with structured/unstructured data.
• Develop and optimize data pipelines and analytical models using SQL, PowerBI.
• Process Documentation - Maintain clear, concise documentation of in-line procedures to support consistency and knowledge transfer.
• Participate in various other analytics projects and work on ad-hoc requests relating to data extractions and visualizations as per the client need
• Predictive Modelling - Development of models using appropriate predictive analytics techniques
• Mentor and guide team members, fostering a culture of innovation and continuous learning.
• Development dashboards containing tracking and monitoring KPIs
• We are also looking for a go getter person who can define:
• Analytic strategies to meet the demands of business requirements
• Technical requirements of the analytic solutions
• Data requirements of the analytic solution processes
• The person will lead data analyst team for a major insurance client and will serve as the SME/Lead for analytics, working closely with various stakeholders
• Engages in technical problem solving across multiple technologies; often needs to develop new solutions A typical workday will involve collaborating with stakeholders while functioning in a Team Lead capacity
• A suitable candidate should have 7-12 years of experience in a similar role and should possess a go -getter attitude. He/ She should be able to deal with ambiguity

Experience in insurance preferred but not mandatory.

• Academic Background in Science (Mathematics, Physics, Engineering, Statistics, Economics, Actuarial Science etc.)
• Strong IT skills - Hands on experience in Data Analysis and Data Preparation tools like SAS, Python, Pyspark, SQL and good knowledge in advanced analytics / Machine learning / statistical / data mining / Text mining techniques in Regression or classification
• Good knowledge of PowerBI, Teradata & Snowflake.
• Experience in P&C Insurance Industry is preferable
• Deep understanding of Analytics
• Strong communicator and team player. Should have experience in client interactions.
• Experience in working in a multi-cultural environment
• Questions existing processes, suggests improvements
• Ability to prioritize and manage multiple projects simultaneously