Data Analyst Sr

Role overview

A senior data analyst is sought to lead complex reporting, dashboarding, and performance measurement workstreams across multiple business areas and stakeholder groups. The role blends measurement strategy, hands-on analytics, and governance, acting as a senior advisor to client and internal stakeholders on KPI design, tracking architecture, and the tradeoffs of analytics decisions.

Responsibilities

- Lead complex reporting, dashboarding, and performance analysis across multiple business areas, channels, and stakeholder groups. - Define measurement and reporting strategies that align business questions, KPI frameworks, semantic logic, and dashboard outputs. - Own the measurement framework for assigned accounts, including tracking plans, solution design references, event taxonomies, and naming conventions. - Set the technical direction for data collection and tag management, including tag manager configurations, data layer specifications, and server-side tagging where it improves data quality, performance, or privacy posture. - Define conversion, experimentation, and attribution measurement approaches in partnership with conversion rate optimization, personalization, and media teams. - Protect measurement continuity during replatforming and migrations through pre-migration baselines, parity checks, and post-launch validation. - Establish governance discipline around privacy, consent, data quality, and reporting standards.

Requirements

- 4+ years of experience in digital analytics, measurement strategy, reporting, and performance measurement. - Strong ability to define measurement and KPI frameworks, reporting logic, and analytical approaches in complex business environments. - Hands-on expertise in tag management and data collection, including Google Tag Manager, data layer design, event taxonomies, and validation workflows. - Working knowledge of server-side tagging concepts, first-party data collection, identity and cookie behavior, and their tradeoffs. - Understanding of consent management and privacy expectations as they apply to data collection and reporting accuracy. - Strong understanding of semantic modeling and how metric definitions drive consistency across reports and dashboards.

Nice to have

- Experience with Agile methodologies and consulting engagements.

Benefits and work setup

- Flexible remote and hybrid work options depending on country. - Career advancement with international mobility and professional development programs. - Access to learning resources, cutting-edge tools, and industry experts. - Medical, dental, and vision insurance for employee and family, plus employer contributions to Health Savings Accounts, with benefits tailored to location.