Data Strategist

3 days ago


Singapore Kpmg Services Pte. Ltd. Full time
Job Overview: As a Data Strategist at Kpmg Services Pte. Ltd., you will be part of the Information Technology Services (ITS) team responsible for providing quality IT services and solutions internally to support the business and improve efficiency. Your responsibilities will include actively supporting the execution of the KPMG data strategy implementation, streamlining information from various sources, and converting them into the right data structures and/or models that can be analyzed as part of a project/application/report to provide greater insights.

Key Responsibilities:
  • Enable business teams with data access using Power BI and Alteryx.
  • Work with the Data Architecture and engineering team to define the key pipelines, and data models for data required to support the Business use-cases.
  • Support the build of business data assets to advance the scalability and reusability of KPMG data assets.
  • Translate business challenges into compelling use cases and deliver insights through data and statistical methodologies.
  • Increase adoption of AI/ML use cases across the functions to solve business challenges and drive efficiencies.
  • Document processes and guardrails on the usage of data & analytics tools (e.g. Alteryx, Power BI) in the firm.

Requirements:
  • Bachelor's degree in Computer Science or an equivalent degree in a quantitative discipline with extensive programming experience.
  • At least 5 years of experience in Data analytics in any industry.
  • Working knowledge on data warehousing techniques - dimensional modeling.
  • Hands-on experience with Azure cloud and related services such as Azure Synapse analytics, Azure Machine learning, Azure Databricks, Azure Devops.
  • Strong working experience in Python for data analysis. Experience with complex analytics and statistical/machine learning techniques using R/Python/Spark.
  • Working experience on Power BI and Alteryx.
  • The ability to visualize and understand complex data flows, pipelines, and processes.


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