Lead Data Analyst

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.
• Ability to showcase prior visualization projects via a public portfolio (e.g., Tableau Public).

Soft Skills:

• Analytical 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.