GUT is an award-winning global creative network powered by Globant. We bring together creativity, technology, and AI to shape the future of marketing, partnering with leading global brands to create ideas that move people and drive business growth. With a diverse and passionate team across multiple countries, we’re redefining how creativity and innovation work together to transform the industry, one brave idea at a time.

We are looking for a Data Analyst to join a digital analytics and MarTech transformation project in the real estate sector. The selected candidate will become part of the Data Analytics & MarTech team, working cross-functionally with the Paid Media, CRM, and Development teams to ensure data reliability and generate analyses and insights that support business decision-making.

Technical Responsibilities

Measurement and Tagging

• Google Tag Manager: Implementation, maintenance, and evolution of tagging, including the configuration of events, triggers, and advertising platform pixels.
• Google Analytics 4: Configuration and management of GA4 properties, ensuring data quality and proper tracking instrumentation throughout the funnel.
• Consent Management: Integration and management of Consent Management tools (OneTrust), guaranteeing regulatory compliance and measurement consistency within consent environments.

Analysis and Reporting

• Dashboarding: Design, construction, and maintenance of operational and executive dashboards in Looker Studio, consolidating data sources from web measurement, Paid Media, and CRM.
• KPI Reporting: Reporting on business and marketing KPIs, including campaign performance, acquisition funnel analysis, user behavior, and conversion metrics.
• Insights Generation: Conducting quantitative and qualitative analyses to identify patterns, opportunities, and friction points in the customer journey.
• Actionable Recommendations: Ability to detect actionable insights and translate them into concrete recommendations for business and media teams.

Paid Media and Attribution

• Performance Tracking: Monitoring and analyzing campaign performance across Paid Media platforms (Google Ads, Meta Ads, and others), providing analytical criteria for budget and investment optimization.
• Attribution Models: Configuring and analyzing attribution models to evaluate each channel's contribution to the conversion funnel.
• Team Collaboration: Partnering with the media team to define campaign KPIs and interpret results.

Data and Integration

• SQL & BigQuery: Extracting and transforming data using SQL in BigQuery to support analysis and reporting.
• Automation: Developing and maintaining data automations with Make, optimizing operational workflows, and reducing manual processes.
• APIs: Managing API connections and HTTP requests to integrate external data sources into the project's analytical ecosystem.
• CRM Integration: Collaborating with the CRM team to extract and analyze Salesforce data focused on understanding customer behavior and optimizing the commercial funnel.

Applied Artificial Intelligence

• AI Workflows: Incorporating AI solutions into daily workflows for automated analysis processes, assisted insight/report generation, and anomaly detection in key KPIs.
• Proactivity: An active interest in exploring and applying AI tools to improve analytical productivity and the quality of business recommendations.

Profile Requirements

• Experience: Between 2 and 4 years of experience in Business Intelligence, Data Analytics, digital analytics, or similar roles.
• SQL & BigQuery: Advanced command of SQL for data extraction and transformation in BigQuery.
• Google Ecosystem: Advanced knowledge of Google Analytics 4 (property configuration, events, custom dimensions, funnel analysis) and Google Tag Manager (tags, triggers, variables, and pixel management). Familiarity with the Google Cloud Platform ecosystem.
• Data Pipelines: Experience or knowledge of dbt for developing data transformation pipelines.
• Data Visualization: Proven ability to design and maintain dashboards in Looker Studio or other visualization tools.
• Data Governance: Knowledge of data governance principles: quality, lineage, and metric documentation.
• Privacy & Consent: Knowledge of digital privacy regulations, privacy-first solutions, and experience with Consent Management tools (OneTrust or equivalent).
• Integrations: Ability to work with API connections and HTTP requests for data source integration.
• Automation: Experience with data workflow automation tools (Make or similar).
• Analytics Adaptability: Familiarity with Adobe Analytics or a willingness to incorporate it into the workspace stack.
• Applied Statistics: Notions of applied statistics: A/B test design, statistical significance, and interpretation of results.
• Documentation: Technical documentation skills: defining KPIs, event taxonomies, measurement plans, model specifications, and data catalogs.
• Business Orientation: Ability to look beyond the numbers and generate actionable recommendations for teams, alongside strong communication skills to explain analytical results clearly to non-technical profiles.

Desirable Skills (Value Added)

• Experience with Salesforce or other CRM tools for commercial data analysis.
• Knowledge of Microsoft Clarity or other user behavior analysis tools (Hotjar, FullStory, etc.).
• Familiarity with qualitative analysis: heatmaps, session recordings, and user behavior interpretation.
• Experience with omnichannel attribution models or advanced acquisition funnel analysis.
• Interest in Machine Learning techniques or predictive models applied to marketing.
• Google Certifications (Google Analytics, Google Ads, Google Tag Manager).
• Experience working with Agile methodologies in multidisciplinary teams.
• Advanced English (B2–C1): Ability to communicate with international teams, manage technical documentation, and participate in meetings in English.

Are you ready?

Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.