Lead Consultant Data Analyst

Excella is a transformative technology firm that helps organizations unlock new possibilities through collaborative, sustainable technology solutions. The Lead Consultant Data Analyst will deliver high-quality data analysis and insights, mentor junior analysts, ensure data integrity, optimize data models, and support data-driven decision-making across client engagements.

Responsibilities:

• Lead the analysis and interpretation of data to drive strategic business decisions
• Serve as a mentor and coach to junior data analysts, fostering their professional development
• Partner with stakeholders to define data-driven solutions that align with business objectives
• Design and implement robust data models and architecture to support business needs
• Develop advanced SQL queries to extract, transform, and analyze data efficiently
• Oversee the creation and optimization of dashboards, reports, and data visualizations
• Ensure best practices in data governance, quality assurance, and security compliance
• Drive the adoption of new data analysis tools and methodologies
• Collaborate with data engineers and data scientists to improve data pipelines and accessibility
• Communicate complex data insights to executive stakeholders in a clear and actionable manner
• Lead Agile data analysis initiatives, ensuring alignment with overall business strategy

Requirements:

• 6+ years of experience in data analysis or related fields
• Expert SQL skills, including query optimization and data transformation
• Extensive experience with Data Visualization tools such as Tableau or Power BI
• Strong understanding of cloud analytics products such as Google Cloud, AWS, or Microsoft Azure
• Proven experience applying statistical techniques to drive business insights
• Exceptional problem-solving skills and ability to manage ambiguity
• Strong verbal and written communication skills; able to engage with senior stakeholders
• Experience leading teams and mentoring junior analysts
• Hands-on experience with Agile methodologies and backlog management tools (JIRA, Confluence, etc.)
• Ability to develop and present executive-level data reports and recommendations
• Proficiency in Python or R for data analysis is a plus