Associate - Projects
Cognizant
Chennai, Tamil Nadu, India
2d ago

Qualification :

Post-grad in one of the following fields with strong academic credentials :

  • Computer Science / IT.
  • Operations Research / Applied Math.
  • Engineering.
  • Responsibility : Business :

    Business :

    Works with the business team to identify the right business objective and data required to answer the same.

  • Executes a data collection plan from both structured and unstructured sources that helps in data exploration , hypothesis testing and statistical modeling.
  • Analyzes data and generates insights that can articulated to business stakeholders.
  • Develops POCs that can be used to generate business decisions.
  • Simulates several scenarios through an interactive visualization that deepens the business understanding with underlying trends and root causes.
  • Stakeholder Management :

  • Communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights.
  • Coordinates in communicating the data needs with both technology and business teams to ensure that right data is captured for analysis and modeling.
  • Project Management :

  • Ensure that the work goes ahead in a way that conforms to DS delivery framewrok and fulfills all outputs specifically outlined by stakeholders.
  • Work with Business Operations and Delivering teams on designing, building and deploying data analysis systems for large data sets.
  • Execute flawlessly on the DS project plan by adhering to timelines.
  • Execute the design, analysis, or evaluation of assigned projects.
  • Data Analytics and Reporting :

  • Explore and examine data from multiple disparate sources.
  • Prepare a data collection plan from both structured and unstructured sources.
  • Collaborate and coordinate with Technology and Business teams for all data needs.
  • Expert level proficiency in data handling (SQL).
  • Data Discovery & Profiling.
  • Data Discovery & Profiling :

  • Perform exploratory data analysis and generate insights.
  • Validate hypothesis developed during exploration phase.
  • Present initial results to business stakeholders and identify the next steps.
  • Data Modelling :

    Create models using one or more of the platforms like R, SAS, Python, Matlab Model creation would involve one or more of the following technqiues :

  • 1 Classification.
  • 2 Clusterning.
  • 3 Time Series.
  • 4 Forecasting.
  • Testing and validating the model.
  • Deriving insights and recommendations from the models.
  • Performing data visualization and presentation to clients.
  • Innovation & Thought Leadership :

  • Provide thoughtleadership and dependable execution on diverse projects.
  • implement best practices and technology.
  • Discover new opportunities where advanced analytical techniques can be leveraged for solving business problems.
  • Knowledge Management :

  • Document all modeling steps in a systematic way including modeling process, insights generated , presentations , model validation results and checklists built in the project.
  • Prepare a one pager document that outlines and quantifies the business impact due to the DS project.
  • Hive
  • Shell scripting
  • Good To Have Skills

  • Data Science
  • Data Tester
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