Lead Data Analyst (SQL, Python, Tableau, PowerBI)Macpower Digital Assets Edge • United States
Lead Data Analyst (SQL, Python, Tableau, PowerBI)
Macpower Digital Assets Edge
- United States
- United States
À propos
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.
Compétences linguistiques
- English
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