Live opening · Posted 7 days ago

Data Team Lead

Ptarmigan Media · Philippines (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyPtarmigan Media
LocationPhilippines (Remote)
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Remote night shift role.
Apply only if you have hands on datorama experience
Only candidates based in PH will be considered
Role Overview
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
Team Leadership & Collaboration
· 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.
· Foster a culture of accountability, continuous improvement, and data excellence.
Dashboard Development & Oversight
· Oversee the design, development, and maintenance of dashboards and automated reporting solutions.
· Ensure dashboards meet business requirements, are scalable, and follow best practices.
· Review and approve dashboard builds to ensure consistency and usability.
· Drive standardization of reporting frameworks and visualization approaches.
· Support complex or high-priority builds as a hands-on contributor when needed.
Data Quality Assurance (QA) & Governance
· Own and enforce QA processes across all dashboards and reporting outputs.
· Establish QA frameworks, documentation, and best practices for the team.
· Conduct regular audits to ensure data accuracy, consistency, and completeness.
· Oversee troubleshooting and resolution of data discrepancies.
· Act as the escalation point for complex data issues.
Datorama Expertise & Data Strategy
· Serve as the team’s Datorama expert and primary resource for platform capabilities.
· Lead advanced implementations, integrations, and optimizations within Datorama.
· Ensure efficient data modeling, harmonization, and platform performance.
· Identify opportunities to enhance reporting through advanced features and automation.
· Partner with stakeholders to evolve data architecture and reporting capabilities.
Data Operations & Process Optimization
· Oversee data ingestion, transformation, and integration workflows.
· Ensure consistency in taxonomy, naming conventions, and data structure.
· Identify inefficiencies and implement scalable solutions and automation.
· Drive continuous improvement in reporting processes and workflows.
· Ensure documentation is maintained and up to date across systems and processes.
Required Skills & Competencies
· 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.
· High attention to detail with a proactive approach to issue resolution.
· Ability to manage multiple priorities in a fast-paced environment.
· Experience with marketing/media data is a plus.
Education & Experience
· 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.

Work arrangement
No

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