About the role

  • Data Analyst role focusing on Analytical Solutions at Dun & Bradstreet. Utilize various data tools and collaborate with teams to implement ML solutions in a hybrid setting.

Responsibilities

  • Work across range of Analytical Solutions that includes Implementation, Testing, Validation, Documentation, Monitoring, and Reporting.
  • Extracting large data from various data sources using multiple tools such as Python/ Pyspark /Hadoop/ SQL/ etc., to perform multiple analysis.
  • Creating data pipelines, performing model scoring, and validating model results. Utilize custom built automated frameworks for all deliverables.
  • Work with GenAI Frameworks/Tools such as Microsoft CoPilot Studio, LangGraph, etc. to create agentic solutions.
  • Work with multiple teams such as Data Supply, ML Engineers, Technology to implement ML/GenAI solutions and models.

Requirements

  • 1 to 2 years of relevant experience in Data Analytics / Data Science roles.
  • Strong programming skill in tools such as Python, Pyspark, SQL to manipulate data and create deployable production code.
  • Knowledge of GenAI tools and techniques.
  • Sound Knowledge and exposure to application of Statistical / Machine Learning Techniques.
  • Experience in building and optimizing data pipelines, architectures and data sets.
  • Certifications in GenAI / LLM skills will be added advantage.
  • Excellent verbal, written communication and presentation skills.

Job title

Analyst

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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