Madrid, Community of Madrid, Spain
I'm a data analyst, and I'm at my best on the early, uncertain questions: what's worth building, who it's for, and whether the numbers add up. I've done analytics for almost a decade across pretty different worlds: shopper insights at PepsiCo, marketing and incentives at Amazon, then loyalty and attribution at Revolut. The settings changed a lot but the job didn't: take something vague and turn it into something a team can decide on. Now I'm at Cleo, leading analytics on the Discovery Squad. We look at potential new product bets, how big the market is, who'd use it, whether the economics work. It's early-stage and messy, which is the part I like most. I care most about making the analysis useful and explaining it clearly to the product, design and commercial people who act on it. Curious by nature, and I like learning from the people I work with.
• Embedded analytics lead on Cleo's Discovery Squad, the team that identifies and validates new product bets beyond the core business. • Working within the Spend Discovery pod to assess commercial viability, size addressable markets, and build the analytical foundations for Cleo's next growth area. • Day-to-day work spans TAM/SAM/SOM modelling, user segmentation and ICP analysis on transactional data, unit-economics stress-testing, and product-discovery tooling. • Operating at the concept-to-validation stage, turning ambiguous hypotheses into defensible, decision-ready analysis.
- Strategic Business Analysis: Leading the analysis and understanding of Revolut's business processes and data, with a focus on optimizing advertising and loyalty programs. - Advanced Metric Design: Designing and implementing sophisticated metrics to measure and evaluate the effectiveness of advertising campaigns and loyalty initiatives. - Customer Lifecycle Deep Dives: Conducting comprehensive analyses of customer loyalty lifecycles to identify key trends, insights, and opportunities for enhancing customer retention and engagement. - A/B Testing: Designing, executing, and analyzing A/B tests to optimize advertising strategies and loyalty program features, ensuring data-driven decision-making. - Data Aggregation and Management: Creating and maintaining complex aggregated data views and tables to simplify data querying and ensure efficient data management. - Dashboard Development and Maintenance: Developing and maintaining advanced interactive dashboards to track metrics and visualize insights, enabling data-driven decision-making across teams. - Data Literacy Promotion: Leading initiatives to promote data literacy within the company, including organizing and conducting workshops to enhance the analytical capabilities of cross-functional teams. - Complex Problem Solving: Tackling intricate data challenges by deeply analyzing databases, identifying root causes, and developing innovative solutions using SQL and Python. - Continuous Learning and Development: Staying at the forefront of the latest data analysis techniques and tools, continually enhancing skills to deliver value and drive product success.
• Understand the business challenges faced by EU Marketing team, derive actionable insights and concise recommendations • Improve understanding of Customer behavior and engagement • Design and conduct rigorous experiments on the effectiveness and efficiency of different marketing actions that inform long term strategy • Support advertising measurement of various Amazon programs and help optimize remuneration models for marketing affiliates • Leverage customer data to increase the efficiency of marketing spend working closely with the channel teams on campaign optimization • Update existing and create new metrics and reporting that help drive business decision
• Collect, manage and analyse internal & external data to generate meaningful business insights. • Lead key strategic project Perfect Store achieving business growth across all channels. • Locate new business opportunities being up to date with disruptive technologies • Provide key stakeholders with powerful insights delivered from advance data analysis. • Data visualization and reporting to explain results in a clearly, concise and business-understandable way • Identify key areas to increase efficiency and develop automation of processes • Deploy next-gen technologies and analytical tools to accelerate business growth • Knowledge and being up to date in the search of potential partners/startups that allow the acceleration in an agile way in Perfect Store, through the integration and treatment of new external data and internal data to provide relevant business inputs • Geospatial data Analytics: extracting insights based on location intelligence and proficiency in GIS (QGIS, Arcgis and Geopandas) • Data cleaning, preparation and mining: Ensure the data is ready to be analysed (normalized, standard & clean). Discover hidden patterns that enables the company take decisions and discover new opportunities. • Data visualization: Visualization and discovery of hidden insights to provide an impactful source of new opportunities. • Data modeling: knowledge and use of statistical tools that allow deeper analysis with big amount of data (Power BI, Python, R…)
Market Intelligence Beauty Brands • Management and coordination of quantitative and qualitative projects ensuring all stages of the project are delivered to the highest quality. • Assist in collating quotations and costs of different studies. • Executive summaries. • Manage and prepare briefings for suppliers. • Building and maintaining effective working relationships with suppliers and operational teams.