Data Lead- Work from Home

The Analytics Team Lead is responsible for overseeing the development, quality assurance, and operational excellence of dashboards and reporting systems. This role manages a team of Analytics Specialists, ensuring high standards of data accuracy, consistency, and scalability across all reporting outputs. The Team Lead serves as a subject matter expert in Datorama, drives QA best practices, and acts as a key liaison with the US team to align on priorities, standards, and deliverables. This role combines hands-on technical expertise with team leadership and process optimization.

Key responsibilities

• Manage, mentor, and develop a team of 3 Analytics Specialists
• Set priorities, allocate workload, and ensure timely delivery of reporting outputs
• Provide ongoing coaching, feedback, and performance management
• Act as the primary point of contact for the US team, ensuring alignment on timelines, requirements, and quality standards
• Oversee the design, development, and maintenance of dashboards and automated reporting solutions
• Ensure dashboards meet business requirements, are scalable, and follow best practices
• Own and enforce QA processes across all dashboards and reporting outputs
• Serve as the team's Datorama expert and primary resource for platform capabilities
• Lead advanced implementations, integrations, and optimizations within Datorama
• Oversee data ingestion, transformation, and integration workflows

About you

• Advanced expertise in Datorama (required)
• Strong experience in dashboard development and BI tools
• Deep knowledge of data QA, validation, and governance frameworks
• Proven leadership or team management experience
• Strong analytical thinking and problem-solving skills
• Excellent communication and stakeholder management skills, especially with cross-regional teams
• 6+ years of experience in analytics, business intelligence, or data operations
• 1-2+ years of experience in a leadership or senior/lead capacity
• Extensive experience with dashboarding tools and reporting platforms
• Strong background in data QA, validation, and reconciliation processes