Manager - Projects

• Review the raw requirements to understand the key outcomes expected by the client.

• Provide technical guidance to the team to identify the data source and review data profiling to understand the data and its quality.

• Review logic that needs to be incorporated in the architecture to ensure the data meets the requirements.

• Identify POC requirement to conduct the feasibility of the requirement, if required.

• Understand the relationships across different data sources and domains and provide guidance to an Analyst.

• Post signoff, design complex queries to analyze the existing data and provide critical business insights.

• Share sample data with the client to give snapshot of the expected outcome.

• Review a low level design document capturing SQL queries to achieve the target state.

• Review system integration testing during data migration from the source to the target state to ensure the requirements are met.

• Provide technical guidance to the team to resolve complex issues.

• Design qualitative & quantitative research instruments (example: surveys, interviews etc) to capture the data if required.

• Integrate qualitative & quantitative information to create insights.

• Design development of new statistical algorithms.

• Run various statistical analysis on the data collected from different sources to derive business insights and evaluate the business risks based on the statistical analysis.

• Interact with the client on a regular basis to provide regular project status update, resolve any issues.

• Coordinate with internal teams to get work done.

• Present analysis to the client along with senior stakeholders in the organization.

• Create and update knowledge articles (industry Point of View, Case studies, lessons learnt document etc) in the knowledge management repository.

• Maintain knowledge management database.

• Understand aspirations of the team Data Analysts.

• Set goals for them and monitor performance.

• Coordinate with different stakeholders in understanding how the employee can better contribute to the project, seek feedback and address concerns.

• Provide technical guidance to team members through the project lifecycle.

• Conduct performance appraisal for team members.

• Support organization level activities such as recruitment by conducting technical facetoface interviews as required.

• Coordinate with Academy to build training material, organize/ conduct trainings as required.

• Keep up with the upcoming trends in Big Data and Analytics and constantly strive to learn and improve on the same.

• Discuss with senior stakeholders in the organization to improve self knowledge.

• Based on the inputs shared by the stakeholders.

• provide inputs on RFPs on data profiling and system analysis aspects.

• Evaluate/ identify the tools best fit for customer requirement.

• DevSecOps

• AWS Cloud Development Kit

• AWS Platform

• AWS EKS

• Procure to Pay - Payroll

Cognizant