Paid Analytics Manager

Kueski; Mexico; On-site; PHP 3,694,581 - 5,541,871; Full time

Benefits offered by this job

Diversity and inclusion efforts

Job summary

Kueski is seeking a Senior Growth Marketing Analytics leader to take charge of marketing measurement from end to end. This role entails designing advanced attribution models, implementing tracking infrastructure, and analyzing data to drive growth strategies.

The ideal candidate will have over 5 years of experience in marketing analytics, solid expertise in attribution modeling, and excellent communication skills to translate complex data for stakeholders.

Join Kueski to lead impactful marketing initiatives and advance analytics practices.

Qualifications

• 5+ years of experience in marketing analytics or growth analytics.
• Deep technical expertise in tracking implementation across web and mobile.
• Strong command of multi-touch and incrementality-based attribution models.
• Solid understanding of digital marketing measurement challenges.
• Experience with statistical modeling and machine learning in marketing.

Responsibilities

• Design and implement marketing attribution models across channels.
• Lead tracking infrastructure setup and maintenance.
• Analyze data to derive actionable insights for marketing strategies.
• Collaborate with marketing teams to optimize campaigns.
• Educate internal teams on best practices for marketing measurement.

Skills

Marketing analytics expertise

Attribution modeling

Experience with A/B testing

SQL proficiency

Data visualization skills

Tools

Google Tag Manager

GA4

Amplitude

Databricks

Job description

Position

Kueski is seeking a senior Growth Marketing Analytics leader to own marketing measurement end-to-end from attribution infrastructure and implementation to advanced analysis and strategic recommendations. This role requires a highly autonomous professional who can build scalable analytics frameworks, uncover second-order business impacts beyond standard attribution models, and translate complex data into actionable growth decisions.

This role is ideal for an analytical expert who thrives in high-ownership environments, enjoys connecting marketing activities to business outcomes, and can partner cross‑functionally with marketing, sales, and analytics teams to optimize investment decisions and accelerate sustainable growth.

Key Responsabilities

Attribution Strategy & Measurement

• Design, implement, and continuously refine marketing attribution models across all channels, ensuring they reflect the true complexity of the customer journey.
• Develop a framework to identify and account for second‑order effects initiatives whose impact on brand awareness, funnel priming, or downstream conversion isn't directly attributable but is strategically significant.
• Define incrementality measurement approaches (geo holdouts, intent‑to‑treat analyses, synthetic controls) to evaluate the true causal impact of marketing investments beyond last‑touch or even multi‑touch models.
• Own attribution methodology decisions and communicate trade‑offs clearly to stakeholders and leadership.

Technical Implementation & Data Infrastructure

• Lead the implementation and maintenance of tracking infrastructure: pixel setup, tag management (Google Tag Manager or equivalent), and event tracking across web and app.
• Design and implement server‑to‑server (S2S) integrations to improve signal quality, reduce data loss from browser restrictions, and enhance campaign optimization inputs for paid media platforms.
• Audit and troubleshoot data discrepancies across tracking systems, ensuring data accuracy and integrity end‑to‑end.
• Manage and evolve the marketing analytics stack (GA4, Amplitude, third‑party attribution tools, Databricks) and stay current on emerging measurement technologies and privacy‑driven changes.
• Partner with Data Engineering and Product to improve event schemas, tracking coverage, and data pipeline reliability.

Data Analysis & Self‑Sufficient Insight Generation

• Pull, structure, and analyze your own data independently building the analyses needed to reach conclusions and push initiatives forward, without relying on others to surface information.
• Develop and maintain dashboards and reports that give clear, actionable visibility into campaign performance, channel ROI, and attribution trends.
• Identify patterns and anomalies proactively; bring forward recommendations with a clear point of view, not just observations.
• Use advanced analytics to correlate marketing activities with business outcomes, providing the strategic inputs needed for budget allocation and channel mix decisions.

Campaign Optimization & Cross‑Functional Impact

• Collaborate with Performance and Lifecycle marketing teams to translate attribution insights into concrete campaign optimizations.
• Conduct A/B and multivariate experiments to validate attribution assumptions and improve measurement accuracy over time.
• Help forecast marketing budgets based on attribution data and provide a clear framework for where to allocate spend for maximum ROI.
• Act as the internal expert on attribution and measurement educating teams on best practices and building shared understanding across marketing, data, and finance.

Job Requirements

• 5+ years of experience in marketing analytics, growth analytics, or a closely related field, with a strong track record of operating autonomously on complex, end‑to‑end projects.
• Deep technical expertise in tracking implementation: tag management (GTM or equivalent), pixel setup, event tracking across web and mobile, and server‑to‑server integrations for campaign signal optimization.
• Strong command of attribution modeling: multi‑touch, data‑driven, and incrementality‑based approaches with the ability to articulate the limitations of each and when to apply them.
• Developed analytical sensibility for second‑order effects: able to reason about indirect, non‑attributable contributions of marketing initiatives and incorporate that thinking into budget and strategy recommendations.
• Proficiency in SQL and at least one BI/analytics tool (Databricks, Data Studio, Tableau, or equivalent); able to independently extract and model data without relying on data teams for every pull.
• Experience with web analytics platforms (GA4, Adobe Analytics) and behavioral analytics tools (Amplitude or equivalent).
• Solid understanding of digital marketing channels and their specific measurement challenges including paid social, SEM, programmatic, affiliate, and CRM.
• Experience with A/B testing and statistical analysis applied to marketing measurement.
• Clear, concise communicator: able to translate complex analytical findings into strategic recommendations for non‑technical stakeholders and senior leadership.
• Detail‑oriented and proactive, with a high standard for data accuracy and a bias toward action.
• Experience with statistical modeling, machine learning applied to marketing (e.g., MMM, propensity models), and mentorship of junior analysts.

Diversity & Inclusion

At Kueski we embrace diversity in all forms, systematically promote equity, and ensure everyone feels included with a sense of belonging. We are committed to the full inclusion of all qualified candidates. As part of this commitment, we will make efforts to ensure reasonable accommodations are made during the hiring process. If reasonable accommodation is needed, please let the Talent Acquisition team know.