ph3The Role /h3 pThe GTM Analytics Engineer designs, implements, and maintains scalable data infrastructure to enable analytics and reporting. Responsibilities center on the development, management, and governance of GTM (Finance, Marketing, Sales, CS) BDM Data architecture, GTM pipeline integration, data quality assurance, and the secure operation of BI tools across the GTM organization. This role reports to the Director of Revenue Operations. /p h3What You’ll Be Doing /h3 h3GTM Data Infrastructure Pipeline Development /h3 ul liManage all data models in dbt using version control (Git/GitHub), with pull-request review, automated testing, and CI/CD deployment pipelines. /li liWrite and maintain dbt tests (schema, data, and unit tests) and enforce them in CI to catch regressions before they reach production. /li liUse AI-assisted development tools (e.g., Cursor, Claude) to accelerate modeling, refactoring, code review, and documentation. /li liEstablish and enforce data modeling standards, including naming conventions and calculation methodologies /li liDesign and optimize Business Dimensional Model (BDM) tables aligned with business requirements in dbt. /li liDevelop, automate, and maintain GTM data pipelines, ensuring delivery for business analytics /li liBuild and maintain reusable semantic layers with standardized metric definitions and business logic and YML files. /li liPerform user acceptance testing and continuously refine pipelines for performance and scalability /li /ul h3Data Governance and Pipeline Performance /h3 ul liEstablish data quality controls (audits, logging, root cause analysis, automated cleansing) to ensure accuracy, reliability, and compliance throughout all data flows. /li liImplement monitoring and alerting for data pipeline performance (timing, error rates, duplication), maintaining SLAs, and proactive issue resolution. /li liGovern access and controls for sensitive customer, marketing, and product data, ensuring compliance with privacy regulations and security standards.



/li /ul h3Collaboration Documentation /h3 ul liPartner with analysts, data scientists, and stakeholders to deliver curated datasets, communicate data limitations, and support ad hoc data requests. /li liMaintain comprehensive documentation, including lineage tables, schema definitions, performance logs, and operational procedures for BDM and GTM solutions. /li /ul h3AI Solutioning and Management /h3 ul liDesign and maintain AI-ready data models and semantic definitions that let LLMs query GTM data accurately and safely. /li liIntegrate warehouse data into AI tools (e.g., Claude via MCP) to enable natural-language analytics, reducing reliance on static dashboards. /li liBuild and maintain reusable AI skills, prompts, and agents that automate recurring analytics and data-ops tasks. /li liPartner with stakeholders to identify workflows where AI can replace manual reporting, and prototype/ship those solutions. /li liEstablish guardrails, evaluation, and governance for AI-driven data access (scope, accuracy, sensitive-data handling). /li /ul h3Qualifications /h3 pDon't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't perfectly align with the qualifications above, we encourage you to apply anyway. You may be just the right candidate for this or other roles. /p h3Required /h3 ul liProficiency with data pipeline development, SQL, and cloud data warehousing (Snowflake, BigQuery,



Redshift, etc.), including ingesting and transforming Salesforce data via APIs or native connectors. /li liStrong dbt experience — modeling, testing, and managing projects in a version-controlled, CI/CD workflow (Git/GitHub). /li liProficiency with AI-assisted development and analytics tools (e.g., Cursor, Claude/LLMs) and interest in AI-native data workflows. /li liFamiliarity with integrating data warehouses into AI/LLM tooling (e.g., MCP, semantic layers for AI consumption) — a strong plus. /li liExperience designing and managing Business Data Models (BDM) for data warehouse environments, incorporating Salesforce objects (Accounts, Opportunities, Campaigns) for analytics and reporting. /li liHands‑on experience with Salesforce data management, including SOQL, schema understanding, and troubleshooting sync issues. /li liStrong communication and collaboration skills, with the ability to partner with Sales, Marketing, and RevOps teams. /li /ul pLocation: Barcelona, Spain /p pFor this role, we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members in-office 2-days per week. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team. /p h3What you’ll enjoy at Affinity: /h3 ul libWe live our values: /b As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients. /li libHealth Benefits: /b Comprehensive health insurance for both you and your family. /li libLearning Development: /b We provide an annual education budget and a comprehensive LD program. /li libWellness Support: /b We provide a monthly budget for wellness memberships/equipment to support your overall health and happiness. /li /ul /p #J-18808-Ljbffr

📌 GTM Analytics Engineer (Barcelona)
🏢 jobr.pro
📍 Barcelona