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Lead Data Analyst (Global Data and Analytics)

Circle K

Salary not specified
Dec 24, 2025
Tempe, AZ, US
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The business problem that Circle K is looking to solve is to have a go-to expert for Power BI who can develop advanced dashboards to deliver clear, actionable insights across multiple business domains, and to elevate the overall analytics capability within the organization.

Requirements

  • Advanced proficiency in Power BI, Excel, SQL, and Python/R
  • Experience with PySpark, Snowflake, and Databricks is a plus.
  • Experience with DevOps/MLOps and CI/CD processes.
  • Python/R
  • PySpark
  • SQL
  • Cloud-based tools (Snowflake, Databricks)

Responsibilities

  • Develop, maintain, and optimize advanced and interactive Power BI dashboards to track business performance and identify opportunities for improvement.
  • Collaborate across teams to frame analytical problems, design solutions, and drive execution of insights.
  • Present findings clearly and effectively to technical and non-technical stakeholders, tailoring messaging to different audiences.
  • Set the technical direction for coding practices using Python/R, PySpark, SQL, and cloud-based tools (Snowflake, Databricks).
  • Oversee development of robust, scalable codebases, ensuring alignment with organizational strategy
  • Leverage GenAI to enable self-service analytics at scale
  • Follow defined project management processes. Actively participate in project plan development and agile ceremonies (development of backlog, sprint planning, daily standups, retros/reviews) and documentation.

Other

  • Bachelor’s or Master’s degree in Data Analytics, Data Science, Statistics, Computer Science, or related field, or equivalent experience.
  • 4+ years of experience in analytics or business intelligence, with leadership experience preferred.
  • Exceptional communication and stakeholder management skills; able to influence executives and cross-functional teams.
  • Strong strategic thinking and problem-solving skills; capable of framing complex business questions and designing enterprise-level analytical solutions.
  • Travel requirements not specified