Albert Campillo

Analytics Engineer | I build visual narratives for Data/AI Founders & Industry Leaders

Barcelona, Catalonia, Spain

About

Most data & AI products fail to get traction for one simple reason: ๐—ง๐—ต๐—ฒ๐—ถ๐—ฟ ๐˜ƒ๐—ฎ๐—น๐˜‚๐—ฒ ๐—ถ๐˜€ ๐—ป๐—ผ๐˜ ๐—ฐ๐—น๐—ฒ๐—ฎ๐—ฟ๐—น๐˜† ๐—ฒ๐˜…๐—ฝ๐—น๐—ฎ๐—ถ๐—ป๐—ฒ๐—ฑ. The downstream effects are immediate: โ†’ Buyers donโ€™t get it. โ†’ Executives donโ€™t trust it. โ†’ Teams donโ€™t align around it. In many organizations, this shows up as: โ†’ Products that are hard to explain. โ†’ Sales that stall due to unclear product positioning. โ†’ Stakeholders and buyers who donโ€™t fully trust what theyโ€™re seeing. ๐—ง๐—ต๐—ฎ๐˜โ€™๐˜€ ๐˜๐—ต๐—ฒ ๐—ด๐—ฎ๐—ฝ ๐—œ ๐˜€๐—ผ๐—น๐˜ƒ๐—ฒ. ๐—œ ๐˜๐˜‚๐—ฟ๐—ป ๐—ฐ๐—ผ๐—บ๐—ฝ๐—น๐—ฒ๐˜… ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ๐˜€ ๐—ถ๐—ป๐˜๐—ผ ๐˜ƒ๐—ถ๐˜€๐˜‚๐—ฎ๐—น ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜ ๐—ป๐—ฎ๐—ฟ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ๐˜€ ๐—ฏ๐˜‚๐˜†๐—ฒ๐—ฟ๐˜€ ๐˜‚๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ ๐—ฎ๐—ป๐—ฑ ๐—ฒ๐˜…๐—ฒ๐—ฐ๐˜‚๐˜๐—ถ๐˜ƒ๐—ฒ๐˜€ ๐˜๐—ฟ๐˜‚๐˜€๐˜. This typically includes clarifying: โ‡€ What your data product actually does (beyond architecture diagrams). โ‡€ Why it matters to the business and roadmap. โ‡€ How it creates measurable ROI and strategic leverage โ‡€ How it differentiates from alternatives in the market In a nutshell: product positioning and decision clarity, delivered through visual frameworks. ๐Ÿ“Œ ๐—ช๐—ต๐˜† ๐—บ๐—ฒ Iโ€™ve spent 15+ years bridging technical teams and C-suite leaders across FMCG, luxury goods, and consulting, working as VP of Finance, FP&A leader and Analytics Engineer. Iโ€™ve been on both sides on the trench: โ‡€ Building complex data and analytics solutions โ‡€ Explaining them to CEOs, CFOs and other C-suite who donโ€™t speak โ€œdataโ€ That experience shaped how I approach product narratives today. ๐Ÿ“Œ ๐—›๐—ผ๐˜„ ๐—œ ๐—ฝ๐—ฎ๐—ฟ๐˜๐—ป๐—ฒ๐—ฟ ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ฒ๐—ฎ๐—บ๐˜€ I typically partner with B2B data & AI SaaS companies, technical founders and enterprise data platform teams. They come to me when: โ‡€ Their product is technically strong but commercially unclear โ‡€ Stakeholders struggle to align around a shared narrative โ‡€ Sales and DevRel lack visual frameworks that explain and differentiate the product In practice, this means ๐—ฎ ๐—ฑ๐—ผ๐—ป๐—ฒ-๐—ณ๐—ผ๐—ฟ-๐˜†๐—ผ๐˜‚ ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜ ๐—ป๐—ฎ๐—ฟ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ & ๐˜ƒ๐—ถ๐˜€๐˜‚๐—ฎ๐—น ๐—ฝ๐—ผ๐˜€๐—ถ๐˜๐—ถ๐—ผ๐—ป๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ผ๐—ฟ ๐—”๐—œ ๐—ฝ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ: โž€ A clear narrative that maps technical architecture to business value โž Visual frameworks for buyers, executives and sales teams โž‚ Alignment across Product, Engineering and Business around a shared story โžƒ Visual assets for Sales and DevRel teams that drive clarity and decisions If this resonates, feel free to reach out. ๐Ÿ“ฉ I can help.

Experience

  • Data & AI Product Strategy Consultant at HeyAl
    Jul 2024 - Present ยท 2 yrs 1 mo

    I help data & AI companies explain and position their products clearly with structured messaging, visual frameworks and narratives.

  • VP Analytics & Consumer Insights APAC at CHANEL
    Sep 2022 - Jun 2024 ยท 1 yr 10 mos

    Luxury brands donโ€™t struggle with data. Their struggle is ๐˜๐˜‚๐—ฟ๐—ป๐—ถ๐—ป๐—ด ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ถ๐—ป๐˜๐—ผ ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป๐˜€ ๐—ฎ๐˜ ๐˜€๐—ฐ๐—ฎ๐—น๐—ฒ ๐—ฎ๐—ฐ๐—ฟ๐—ผ๐˜€๐˜€ ๐—บ๐—ฎ๐—ฟ๐—ธ๐—ฒ๐˜๐˜€. Thatโ€™s what I was hired to fix for Fragrance & Beauty division across ๐Ÿต ๐—”๐—ฃ๐—”๐—– ๐—บ๐—ฎ๐—ฟ๐—ธ๐—ฒ๐˜๐˜€. I led regional analytics and consumer insights, partnering with APAC leadership and managing a team of 5 analysts to turn fragmented data into decision systems executives and markets could actually use. ๐Ÿ“Œ ๐—ช๐—ต๐—ฎ๐˜ ๐—œ ๐—น๐—ฒ๐—ฑ ๐—ฎ๐—ป๐—ฑ ๐—ฑ๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ๐—ฒ๐—ฑ: โ–ธ Built a ๐—ฟ๐—ฒ๐—ด๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ž๐—ฃ๐—œ ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป ๐—ณ๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ, consolidating multiple sources into a single executive view of performance across APAC. โ–ธ Designed ๐—ฎ๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ฒ๐—ฑ ๐˜€๐—ฎ๐—น๐—ฒ๐˜€ ๐˜๐—ฎ๐—ฟ๐—ด๐—ฒ๐˜ ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ adopted by 1,800+ boutique managers, aligning local execution with regional strategy. โ–ธ Integrated ๐—ฑ๐—ถ๐—ด๐—ถ๐˜๐—ฎ๐—น ๐—ฒ๐—ป๐—ด๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐˜€๐—ถ๐—ด๐—ป๐—ฎ๐—น๐˜€ ๐—ถ๐—ป๐˜๐—ผ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜ ๐˜€๐—ฒ๐—ด๐—บ๐—ฒ๐—ป๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป, increasing targeted campaign conversion. โ–ธ Developed market-level ๐—ฐ๐—น๐˜‚๐˜€๐˜๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—ฎ๐—ป๐—ฑ ๐—ด๐—ฟ๐—ผ๐˜„๐˜๐—ต ๐—ณ๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ๐˜€ for 600+ boutiques to guide geographic expansion and resource allocation. โ–ธ Defined ๐˜๐—ต๐—ฒ ๐—ฟ๐—ฒ๐—ด๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ด๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ณ๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ for the Fragrance & Beauty loyalty program. โ–ธ Led the transition of regional analytics infrastructure from on-premise to cloud to support scalable decision workflows. ๐ŸŽฏ My focus: ๐—ณ๐—ฒ๐˜„๐—ฒ๐—ฟ ๐—ฑ๐—ฎ๐˜€๐—ต๐—ฏ๐—ผ๐—ฎ๐—ฟ๐—ฑ๐˜€, ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป๐˜€ ๐—ฎ๐—ป๐—ฑ ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ ๐˜๐—ต๐—ฎ๐˜ ๐˜€๐—ฐ๐—ฎ๐—น๐—ฒ ๐—ฎ๐—ฐ๐—ฟ๐—ผ๐˜€๐˜€ ๐—บ๐—ฎ๐—ฟ๐—ธ๐—ฒ๐˜๐˜€.

  • Career transition at Career Break
    Jan 2022 - Aug 2022 ยท 8 mos

    ๐—ฅ๐—ฒ๐—น๐—ผ๐—ฐ๐—ฎ๐˜๐—ถ๐—ป๐—ด ๐—ณ๐—ฟ๐—ผ๐—บ ๐—ฆ๐˜„๐—ถ๐˜๐˜‡๐—ฒ๐—ฟ๐—น๐—ฎ๐—ป๐—ฑ ๐˜๐—ผ ๐—ฆ๐—ถ๐—ป๐—ด๐—ฎ๐—ฝ๐—ผ๐—ฟ๐—ฒ wasnโ€™t downtime. It was a deliberate operating window. While interviewing across APAC, I continued consulting and sharpening the ๐—ณ๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ๐˜€ I use today. ๐Ÿ“Œ ๐—ช๐—ต๐—ฎ๐˜ ๐—œ ๐—ฑ๐—ถ๐—ฑ ๐—ฑ๐˜‚๐—ฟ๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ถ๐˜€ ๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ผ๐—ฑ: โ–ธConsulted for a UAE-based startup, delivering analytics work in a live production environment. โ–ธDeepened my approach to ๐˜€๐—ฐ๐—ฎ๐—น๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ฑ๐—ฒ๐˜€๐—ถ๐—ด๐—ป and performance optimization. โ–ธInvested in advanced technical and analytical training to strengthen my ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€-๐—น๐—ฒ๐˜ƒ๐—ฒ๐—น ๐˜๐—ต๐—ถ๐—ป๐—ธ๐—ถ๐—ป๐—ด.

  • Data Analytics Project Manager at Philip Morris International
    Apr 2019 - Dec 2021 ยท 2 yrs 9 mos

    Selling a new product category isnโ€™t about more reports. Itโ€™s about ๐˜‚๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ๐—ถ๐—ป๐—ด ๐˜„๐—ต๐—ผ ๐—ฐ๐—ผ๐—ป๐˜ƒ๐—ฒ๐—ฟ๐˜๐˜€, ๐˜„๐—ต๐—ผ ๐˜€๐˜๐—ฎ๐˜†๐˜€, ๐—ฎ๐—ป๐—ฑ ๐˜„๐—ต๐—ผ ๐—น๐—ฒ๐—ฎ๐˜ƒ๐—ฒ๐˜€ and operationalizing that knowledge across the business. Thatโ€™s what I owned for the IQOS business in Switzerland. I led analytics and insights across commercial, marketing, and digital teams, building the data and decision foundations that powered category growth. ๐Ÿ“Œ ๐—ช๐—ต๐—ฎ๐˜ ๐—œ ๐—น๐—ฒ๐—ฑ ๐—ฎ๐—ป๐—ฑ ๐—ฑ๐—ฒ๐—น๐—ถ๐˜ƒ๐—ฒ๐—ฟ๐—ฒ๐—ฑ: โ–ธDesigned a national client intelligence layer consolidating CRM, marketing, and digital data into a ๐˜€๐—ถ๐—ป๐—ด๐—น๐—ฒ ๐—ฑ๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป ๐—ณ๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ. โ–ธBuilt the core ๐—ฟ๐—ฒ๐˜๐—ฎ๐—ถ๐—น ๐˜€๐—ฎ๐—น๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฝ๐—ฒ๐—ฟ๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ณ๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ used by executives and key account teams to steer growth. โ–ธDeveloped ๐—ฝ๐—ฟ๐—ฒ๐—ฑ๐—ถ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฟ๐—ฒ๐˜๐—ฒ๐—ป๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐—ป๐—ฑ ๐—ฐ๐—ต๐˜‚๐—ฟ๐—ป ๐—ณ๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ๐˜€ to guide targeting and lifecycle strategies. โ–ธEstablished a nationwide lead capture and performance tracking system adopted by affiliate retailers. ๐ŸŽฏ My focus: ๐—บ๐—ฎ๐—ธ๐—ถ๐—ป๐—ด ๐—ด๐—ฟ๐—ผ๐˜„๐˜๐—ต ๐—บ๐—ฒ๐—ฎ๐˜€๐˜‚๐—ฟ๐—ฎ๐—ฏ๐—น๐—ฒ, ๐—ฝ๐—ฟ๐—ฒ๐—ฑ๐—ถ๐—ฐ๐˜๐—ฎ๐—ฏ๐—น๐—ฒ and ๐—ฟ๐—ฒ๐—ฝ๐—ฒ๐—ฎ๐˜๐—ฎ๐—ฏ๐—น๐—ฒ.

  • Full Stack Web Developer โš™ at Le Wagon
    Jan 2019 - Mar 2019 ยท 3 mos

    I completed an intensive full-stack engineering program to deepen my understanding of how modern data-driven products are built end-to-end. The goal wasnโ€™t to become a front-end developer. It was to strengthen my ability to ๐—ฏ๐—ฟ๐—ถ๐—ฑ๐—ด๐—ฒ ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜, ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด, and ๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ. Key areas covered: โ–ธ Software architecture principles and MVC design patterns โ–ธ Database design, SQL, and data modelingFront-end frameworks and web application architecture โ–ธ API design and integration patterns โ–ธ End-to-end product development, from design to deployment