Lead Data Analyst (Global Data and Analytics)

Circle K•Tempe, AZ

About The Position

Lead Data Analyst (Global Data and Analytics) As a member of the Enterprise Data & Analytics Team, the Lead Data Analyst is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization The Lead Data Analyst will serve as the organization’s go-to expert for Power BI, owning the end-to-end development of advanced dashboards that deliver clear, actionable insights across multiple business domains. This role requires someone who can translate complex data into compelling stories, confidently present findings and tools to stakeholders, and ensure teams understand how to leverage analytics for better decision-making. The ideal candidate combines strong technical skills with exceptional communication, enabling them to influence strategy, guide stakeholders, and elevate the overall analytics capability within Circle K.

Requirements

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.
Advanced proficiency in Power BI, Excel, SQL, and Python/R
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.

Nice To Haves

Experience with PySpark, Snowflake, and Databricks is a plus.
Experience with DevOps/MLOps and CI/CD processes.

Responsibilities

Develop, maintain, and optimize advanced and interactive Power BI dashboards to track business performance and identify opportunities for improvement.
Serve as a trusted advisor to business partners, understanding their priorities and providing data-driven guidance to support decision-making.
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.
Mentor and provide guidance to junior analysts to promote best practices in analytics, visualization, and stakeholder engagement
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.