Associate Data Analyst - Enterprise & Reporting

Circle K

Support Office India, India
Not specified (assumed hybrid)
Data cleaning and organization
Dashboard development and visualization
Statistical modelling using python or pyspark
Circle K is seeking an Associate Data Analyst to join their India Data & Analytics Global Capability Centre, where the team leverages data analytics to enhance decision-making across departments. The role involves cleaning and organizing datasets, deploying analytical tools, and creating actionable insights to drive business performance within a collaborative environment

Job Summary

  • Circle K is a global leader in the convenience store and fuel space with a presence in 31 countries and territories.
  • The Associate Data Analyst will partner with multiple departments globally to deploy analytics algorithms and deliver actionable insights.
  • The role involves working with cross-functional teams and leveraging global support to advance Circle K’s journey to becoming a data-centric company.

Matching Summary

Match Score: 85

Circle K is seeking an Associate Data Analyst to join their India Data & Analytics Global Capability Centre, where the team leverages data analytics to enhance decision-making across departments. The role involves cleaning and organizing datasets, deploying analytical tools, and creating actionable insights to drive business performance within a collaborative environment.

Skills & Requirements

Must-have

  • Data cleaning and organization
  • Dashboard development and visualization
  • Statistical modelling using Python or PySpark
  • Enterprise reporting systems knowledge
  • Cross-functional stakeholder collaboration
  • Cloud computing services for analytics

Nice-to-have

  • User-centric design techniques
  • Business process documentation
  • Innovation and agility
  • Social intelligence
  • Delivery excellence mindset

Key Requirements

  • 1-2 years relevant analytics experience
  • Bachelor’s degree in computer science or related field
  • Experience with Spark, SQL, Python
  • Experience in quantitative/applied analytics role

Work Rights

Not specified

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