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    Manager - Projects - Kolkata, India - Cognizant Technology Solutions

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    Description

    Data Scientist

    Qualification:

    Bachelors in science , engineering or equivalent

    Responsibility:

    Requirement Understanding and Analysis:

    • 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.

    Data Discovery & Profiling:

    • 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.

    Data Analytics & Reporting:

    • 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.

    Stakeholder Management:

    • 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.

    Knowledge Management:

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

    People Management:

    • 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.

    Innovation & Thought Leadership:

    • 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.

    Sales Support:

    • 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.

    Must Have Skills

    • DevSecOps
    • AWS Cloud Development Kit
    • AWS Platform
    • AWS EKS

    Good To Have Skills

    • Procure to Pay - Payroll


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