Senior Analytics Manager

The Senior Analytics Manager is the strategic and operational leader of the digital analytics practice. This position is responsible for directing the technical vision of the most complex accounts, leading and mentoring Analytics Managers and Executives, and ensuring operational excellence, commercial sustainability, and client satisfaction at the portfolio level. You'll act as the primary trusted advisor for executive leaders, account directors, and international clients, translating major business challenges into technology architectures, data strategies, and advanced measurement solutions (MarTech/Data). Additionally, this role is responsible for defining quality standards, governance, and methodological frameworks for the technical team.

Responsibilities

Lead end-to-end analytics and measurement strategy for the most complex or high-impact business accounts; Conduct and lead strategic meetings, scope negotiations, and sensitive discussions with high-level stakeholders (C-Level, VP, Brand/Technology Directors); Create the vision for omnichannel data and measurement architecture (e.g., GCP/BigQuery integrations, Server-Side GTM, Conversions API, privacy frameworks, attribution modeling); Mentor and guide Analytics Managers and technical teams, driving their professional growth, autonomy, and management capabilities; Establish quality standards, development best practices, tagging architectures, and work methodologies to be adopted by all technical team levels; Design and implement efficient operational processes to ensure timely deliveries and reduce technical bottlenecks; Serve as the primary escalation point for resolving complex technical or operational issues and execute immediate mitigation plans to protect client relationships; Identify opportunities to expand the technological stack of current clients and collaborate with Growth/Sales teams on strategic pitches and commercial proposals

Requirements

Strong experience leading technical analytics teams and managing the professional development of other team members or managers; Demonstrated ability to lead difficult conversations, negotiate priorities, and manage expectations with global clients; Ability to connect detailed technical implementation with clients' financial and strategic objectives; Expert command of GA4 (Google Analytics 4), behavioral analytics tools (e.g., Quantum Metric), and attribution/measurement platforms (Appsflyer, Adobe Analytics, among others); Advanced experience with Google Tag Manager (Client-Side and Server-Side), First-Party Data architectures, privacy/CAPI solutions, and other tagging tools such as Tealium; Advanced command of SQL, data modeling, and hands-on experience in cloud environments (e.g., Google Cloud Platform/BigQuery, Snowflake, Azure, among others); Proficiency in JavaScript and HTML applied to complex tagging environments, APIs, Webhooks, and DataLayers; Ability to design executive visualization architectures in Looker Studio, Power BI, Tableau, etc.; Fluent English (Advanced Conversational and Technical) is essential to lead sessions with international teams and global clients

Benefits

Savings fund: employee saves 5% of monthly income and Jellyfish contributes the same amount to the savings fund; Private health insurance policy including vision and dental plan coverage; Workplace that prioritises growth and allows employees to tailor their work environment to their needs