Spain
Senior BI Architect and Analytics Engineer with 20+ years in data — hands-on, from database to dashboard. I've built BI platforms from scratch more than once — designing data warehouses, ETL pipelines and reporting layers end-to-end, and scaling them to 500+ users across Finance, HR, Supply Chain, Manufacturing and Product. I've led BI team, set the development processes and data models that keep a platform maintainable as it grows, and partnered with C-level stakeholders to turn business questions into data products. My work spans two worlds most analysts don't combine: enterprise analytics (finance, ERP, people analytics) and product/game analytics (retention cohorts, ARPU/LTV, in-game economy modelling). Core stack: Power BI · SQL · Python · Snowflake · PostgreSQL Open to remote Senior/Principal IC roles (B2B contract) across EMEA.
· Analysed player behaviour and game performance across multiple products using SQL, Python, and Snowflake - tracking retention (D1/D7/D30), ARPU/ARPPU, and LTV to surface key revenue and engagement drivers. · Modelled and simulated in-game economies for new game launches, balancing sink/source flows, reward curves, and payout mechanics to validate monetisation and player progression without relying on live A/B tests. · Designed and delivered interactive Power BI reporting suites and dashboards, translating complex gaming metrics, SQL queries, and deep-dive investigations into self-serve decision tools for product teams. · Integrated AI assistants (Cursor and specialised sub-agents) into the daily analysis workflow to significantly accelerate complex SQL/Python querying, automate exploratory data investigation, and streamline script debugging.
• Built product reporting and self-serve Power BI dashboards (DAU/MAU, engagement, retention), giving the product team a single source of truth. • Analyzed user-acquisition channels to pinpoint which sources drive activation and retention. • Used Claude to shape analytical strategy and hypotheses and to accelerate data analysis and interpretation — building AI-assisted research into the workflow rather than treating it as one-off prompting.
• Built the company's analytics platform from scratch (0-to-1), setting up a PostgreSQL data warehouse, custom Python data pipelines, and self-serve Power BI reports where no analytics infrastructure existed before. • Integrated 5+ core business systems (Odoo, Saleor, HiBob, FrontApp, Apicbase) by writing custom Python scripts to extract and clean data via REST APIs. • Designed a complex data model for recipe costing, handling multi-level ingredient structures to give Product and Finance teams clear visibility into unit economics and product margins. • Worked solo to establish data engineering standards, setting up naming conventions, data validation rules, and dev-prod separation to keep reporting reliable and easy to maintain.
· Led a team of 3 BI developers and analysts, owning BI strategy, roadmap, and delivery across Finance, Supply Chain, Manufacturing, and HR. · Scaled the BI platform to 500+ business users across multiple departments by standardising data models and reporting and designed ~100 domain-specific reports. · Designed and implemented the equity compensation analytical engine (LTIP, RSUs, stock options), building a complex allocation model based on employee grade, salary, location, and tenure for direct integration into Fidelity. Established rigorous, unglamorous data reconciliation protocols with HR and Finance against annual budgets to ensure 100% audit compliance and precision. · Co-developed a custom enterprise Telegram chatbot integrated with Jira and HR systems, automating workplace operations - including desk and travel bookings, IT helpdesk ticketing, peer recognition (kudos), and anonymous team sentiment surveys across 3,000 employees. · Established BI development processes and environments, reducing delivery time and improving data quality.
• Built BI platform from scratch, covering ETL pipelines, data warehouse architecture, and Power BI reporting layer • Collaborated with stakeholders across the company to gather and refine business requirements. • Delivered advanced HR analytics (People Analytics) covering headcount, turnover, attrition, tenure, and organizational structure (WTW grades) • Implemented analytics for equity compensation programs (LTIP, RSUs, stock options), integrated with Fidelity platform • Developed a custom Telegram chatbot to automate internal Talent processes • Integrated diverse data sources (BambooHR, Xero, Odoo, Jira, and others) into a unified DWH, ensuring data consistency and traceability
• Designed and maintained SSAS OLAP cubes for sales, logistics, production, procurement, budgeting, and finance reporting • Gathered customer requirements and translated them into technical designs and data models • Built interactive reports in Panorama Software