Urgent Opening For Lead Data Analytics- Gurgaon

XYZ (NASDAQ:XYZS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business XYZerator Framework, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. XYZ serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, XYZ has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

XYZ Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, XYZ Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. XYZ Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

Please visit for more information about XYZ Analytics.

About the role

This position is for a Lead role in the Insurance Analytics domain for one of our clients. The key responsibility will be to support the client's Insurance Analytics team from Gurgaon in undertaking various Analytics and Data Science projects.

The job responsibilities include the following:

• Clearly Setting Project Objectives with the Client – Take initiatives to identify opportunities and develop problem statements to be worked upon.
• 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, SAS, and Python.
• 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 a Data Science 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 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.

Personal Qualifications

• 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

Required Education and Skills

• 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
• Working knowledge of Snowflake and Power BI
• Experience in P&C Insurance Industry is preferable