Analytics specialist - Automotive Sector

We are looking for an Analytics & Performance Specialist who combines hands-on technical expertise with a strategic mindset. This role sits at the intersection of digital marketing, data analytics, and business intelligence, and is responsible for ensuring that our digital ecosystem is properly instrumented, measured, and optimized to drive business outcomes.

The ideal candidate is someone who does not just interpret dashboards-they build them. Someone who configures tracking architectures from scratch, connects performance to revenue impact, and leverages AI-powered tools to generate insights faster and more accurately. This is not a purely strategic role; it requires daily hands-on work with analytics platforms, tag management, consent management, and paid media data.

Main Responsibilities:

**Analytics Architecture & Implementation

• Own the end-to-end configuration, maintenance, and optimization of Google Analytics 4 (GA4), including data streams, custom events, audiences, explorations, and attribution models.
• Manage and configure Google Tag Manager (GTM) across web and app properties: tags, triggers, variables, data layer architecture, and debugging.
• Implement and maintain OneTrust (or equivalent CMP) ensuring GDPR/CCPA compliance, proper consent-mode integration with GA4 and advertising platforms, and audit-ready documentation.
• Collaborate with development teams to define and implement data layers and cross-domain measurement strategies.
• Ensure data integrity through QA processes, tag audits, and validation of tracking implementations.

**Data Analysis & Business Intelligence

• Analyze data and correlate it with business KPIs (revenue, CAC, LTV, ROAS, margin) to identify growth levers and optimization opportunities.
• Build and maintain dashboards and automated reports in Looker Studio, Power BI, or equivalent tools, translating raw data into actionable business narratives.
• Perform deep-dive analyses: funnel analysis, cohort analysis, attribution modeling, A/B test statistical evaluation, and customer journey mapping.
• Proactively surface insights and anomalies, turning data into clear recommendations with measurable business impact.
• Support CRO (Conversion Rate Optimization) initiatives with data-driven hypotheses, test design, and results interpretation.

**Paid Media Analytics & Channel Mix

• Analize paid media investment across markets and channels (Google Ads, Meta Ads, Programmatic, LinkedIn, TikTok) with a focus on efficiency and incrementality.
• Contribute to channel mix optimization by evaluating cross-channel performance, budget allocation effectiveness, and diminishing returns thresholds.
• Integrate paid media platform data with GA4 and BI tools to create unified performance views.
• Track and report on media spend vs. targets, pacing, and forecasting accuracy

**AI Tools & Innovation

• Leverage AI-powered analytics tools (e.g., ChatGPT, Claude, Gemini, Copilot) to accelerate data analysis, reporting, insight generation, and content optimization workflows.
• Identify and evaluate emerging AI/ML solutions applicable to marketing analytics.
• Promote a data-first and AI-augmented culture within the team, sharing best practices and building reusable prompt libraries and automation templates.
• Stay current with AI developments in the MarTech ecosystem and proactively propose integration opportunities.

**Collaboration & Stakeholder Management

• Act as the analytics point of contact for product, and technology teams, translating technical findings into business language.
• Support international stakeholders and participate in cross-functional meetings in English.
• Document all analytics processes, naming conventions, and measurement frameworks to ensure knowledge continuity.