Job description

Job Summary: Seeking a highly technical and self-motivated Lead Data Analyst (SQL, Python, Tableau, PowerBI) with strong data storytelling skills to develop end-to-end reporting solutions for a global sports initiative. The role involves working closely with product engineering, supply chain, and manufacturing teams to design scalable data workflows and business dashboards that drive data-informed decision-making. Key Responsibilities: • Lead the design and development of end-to-end reporting and analytics solutions. • Build and maintain ETL pipelines to enable data ingestion, enrichment, and transformation. • Design and implement data ingestion processes, including handling user-managed files such as Excel. • Develop and maintain interactive dashboards and reports using Tableau or Power BI. • Collaborate with engineering and supply chain teams to define and refine data requirements. • Translate complex technical data into clear insights for executive stakeholders. • Ensure accuracy, accessibility, and timely delivery of all reporting outputs. • Support Agile/Scrum-based project execution and data-driven decision-making. Required Qualifications: • Bachelor's degree preferred. • 8+ years of experience as a Data Analyst or Data Engineer. • Strong proficiency in SQL and Python. • Expertise with Power BI or Tableau for data visualization. • Experience with Data Lakehouse platforms (Databricks, Snowflake, etc.). • Experience working within supply chain or manufacturing environments. • Excellent communication skills and ability to translate technical insights for business leaders. • Strong problem-solving ability and business acumen. Preferred Qualifications: • Experience with cloud platforms (Azure, AWS, or GCP). • Knowledge of CI/CD pipelines for data workflows. • Background in sports analytics or event-based reporting. • Experience collaborating across global, cross-functional teams. • bility to showcase prior visualization projects vi public portfolio (e.g., Tableau Public). Soft Skills: • nalytical and proactive problem solver. • Professional with strong stakeholder engagement skills. • Thrives in fast-paced, evolving environments. • Passionate about data storytelling and driving measurable business impact. Additional Information: • Two rounds of interviews: one behavioral and one technical. • Candidates will be asked to present a past visualization project during the technical round.

Requirements