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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.
Job Responsibility:
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
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
Experience with DevOps/MLOps and CI/CD processes
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 have:
Experience with PySpark, Snowflake, and Databricks