Freelance Data Analysts in Esplugues de LlobregatFreelance Data Analysts in Esplugues de Llobregat
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Adwoa Marfo's avatar
Adwoa Marfo
Barcelona, Spain
Data Analyst and Project Manager with good client service.
Data Analyst and Project Manager with good client service.
Cover image for Orthopedics Department Performance Tracker
Orthopedics Department Performance Tracker
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15
Cover image for Human Resource Exploratory Data Analysis
Human Resource Exploratory Data Analysis
1
12
Cover image for Sales & Customer Analytics Dashboard
Sales & Customer Analytics Dashboard
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12
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Data Analyst(3)
Reem Al Kaisy's avatar
Reem Al Kaisy
Barcelona, Spain
Product & Service Designer- Senior Architect
$1k+
Earned
1x
Hired
5.0
Rating
2
Followers
Product & Service Designer- Senior Architect
Cover image for Bridging the Gap Between Architects and AI
Bridging the Gap Between Architects and AI
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55
Cover image for HP Build Workspace revolutionizing Construction Collaboration
HP Build Workspace revolutionizing Construction Collaboration
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74
Cover image for CHOOZ
CHOOZ
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61
Cover image for Rehabilitation center/Interactive smart patient room
Rehabilitation center/Interactive smart patient room
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105
Data Analyst(1)
Arnau Sastre's avatar
Arnau Sastre
proBarcelona, Spain
Analista de Datos | Insights, modelos | optimización | ML
Analista de Datos | Insights, modelos | optimización | ML
Cover image for Built a centralized investment analytics
Built a centralized investment analytics and business intelligence platform to automate KPI tracking, operational reporting and executive dashboards. The solution integrated multiple data sources into a single decision support system, eliminating manual reporting while providing daily insights into investments, clients, providers and overall business performance. The platform included automated data pipelines, KPI monitoring and executive dashboards designed to support faster and more informed business decisions.
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27
Cover image for Multi-Horizon Demand Forecasting Designed and implemented
Multi-Horizon Demand Forecasting Designed and implemented a multi-horizon demand forecasting system for an e-commerce business to improve inventory planning and operational decision-making. The solution generated forecasts across multiple planning horizons while automating forecasting workflows and scenario analysis. This enabled business teams to make more informed purchasing and inventory decisions while reducing manual forecasting efforts.
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21
Cover image for Credit Risk Modeling Developed a machine
Credit Risk Modeling Developed a machine learning solution for consumer credit risk assessment, helping improve lending decisions through predictive analytics. The project included feature engineering, model evaluation and probability calibration to deliver reliable risk predictions while supporting regulatory and business requirements. The final solution provided a scalable analytical framework for consistent and data-driven credit decision making.
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23
Cover image for Designed an AI-powered decision support
Designed an AI-powered decision support system combining quantitative models, machine learning and deep learning techniques to analyze financial markets. The platform automated data collection, strategy evaluation and backtesting, providing a scalable framework for continuous strategy development. The project demonstrated how advanced analytics can support systematic and data-driven investment decisions.:
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33
Data Analyst(1)
Hugo Bernard's avatar
Hugo Bernard
Barcelona, Spain
I build growth engines, not campaigns.
New to Contra
I build growth engines, not campaigns.
Cover image for Result: Tripled inbound MQLs. Improved
Result: Tripled inbound MQLs. Improved conversion at every funnel stage. Before: Growth was slow. Standard instinct said: spend more on acquisition. The data said otherwise. What I did: Ran a reverse funnel calculation that showed the real constraint was conversion rate, not top-of-funnel volume. Extra ad spend would have amplified a leaky funnel. Rebuilt the value proposition and product positioning. Overhauled the website on HubSpot CMS with redesigned information architecture, full SEO build, and conversion-focused UX. Rebuilt CRM automation: nurturing sequences, lifecycle stages, automated qualification logic. After: x3 inbound MQLs. Conversion improved at every stage. Structural growth, not campaign-driven. The rebranding was later validated by Marion Lemoine, Team Lead CSM at HubSpot: "The rebranding was seamless, customer-focused, and impactful. I'm sure this will bring a lot of new leads to the company."
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Cover image for Result: 40x content throughput. Zero
Result: 40x content throughput. Zero additional headcount. Before: Property Filter produced one member success story per month, maximum. Every step was manual: interview, writing, editing brief, blog article, social copy. Short-form video: zero. SEO-optimised articles: zero. What I built: A multi-stage AI production system using Claude. One coordinator types a single command after each member interview. The system generates: a timestamped video editing blueprint for the editor; a full SEO and GEO-optimised blog article using a validated canonical template; a publishing checklist for the web team; platform-specific social copy for 4-5 short-form clips. HubSpot MCP pulls the member's data in automatically. Automated Slack messages route each output to the right person in the right channel. Not automation replacing humans. An intelligence layer that makes every person in the pipeline perform at a higher level. After: 10+ stories per week. 4-5 short-form clips per story (previously zero). Substantially better video quality because editing briefs are precise and timestamped. Zero additional headcount.
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53
Cover image for Result: 50 webinar attendees (MQLs)/week
Result: 50 webinar attendees (MQLs)/week and 60 demo requests/week on autopilot. Everything built from zero. Before: Zero evergreen digital acquisition. Every lead came from an active campaign. What I built in 6 months: SEO engine: 6 topic clusters, 60-article editorial calendar, 5 pillar pages. Full architecture designed and deployed in 2 weeks. Paid media: evergreen system across Meta and Google (not campaign management). 32-script ad creative library. 50+ published customer UGC videos. 20+ customer studies articles optimised for SEO GEO. A/B/C test iterations on emails, forms, landing pages, CTAs. HubSpot: custom pipeline stages, full multi-channel attribution, automated lifecycle workflows from first touch to onboarding without human intervention. Canva brand system: 1 brand kit, 200+ assets, 15+ templates, team trained to produce on-brand content independently. Webinar infrastructure: 1,500 registrations, 600 live attendees, 40% show rate. After: 50 webinar attendees (MQLs) per week and 60 demo requests per week, arriving without active management. Counter-cyclical context: UK buyer demand fell 13% and proptech funding hit an 8-year low during this period.
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56
Cover image for Property Investor Blueprint Challenge Result:
Property Investor Blueprint Challenge Result: 1,500 registrations. 600 live attendees. 40% show rate. Before: Property Filter needed a flagship lead generation event. There was no event infrastructure, no creative system, and no automation to handle registrations at scale. What I built: Co-Designed with the founders and executed the Property Investor Blueprint Challenge end-to-end. Topic strategy first: identified the highest-anxiety question in the target audience and structured a live challenge format around solving it. Drove registrations via paid media across Meta and Google using a creative library developed for the broader campaign. Built full HubSpot automation: confirmation sequences, multi-touch reminder flows, post-event lead nurture routed by attendance behaviour. All creative assets designed and produced in Canva using the brand system I built. After: 1,500 registrations. 600 live attendees that stayed for 3 days. 40% show rate, well above industry average for B2B webinars. The event became a repeatable acquisition and sales channel, not a one-off.
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60
Data Analyst(1)
Miguel J. Garrido's avatar
Miguel J. Garrido
Esplugues de Llobregat, Spain
AI & Data Solutions with Perfectionist Passion
AI & Data Solutions with Perfectionist Passion
Cover image for Movie Retrieval System using NLP Models
Movie Retrieval System using NLP Models
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11
Cover image for Digit Recognition with ML
Digit Recognition with ML
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9
Cover image for LANGUAGE TRANSLATION USING SEQ2SEQ LEARNING
LANGUAGE TRANSLATION USING SEQ2SEQ LEARNING
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6
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Data Analyst(1)
Eduard Arnau Umbert's avatar
Eduard Arnau Umbert
Barcelona, Spain
Data-driven market research with AI-powered insights
Data-driven market research with AI-powered insights
Cover image for Freemium vs. Free Trial: Which Drives More Paying Users?
Freemium vs. Free Trial: Which Drives More Paying Users?
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10
Cover image for Strategic Trade-offs in Global GTM
Strategic Trade-offs in Global GTM
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6
Cover image for Monetization Guide for User Journey
Monetization Guide for User Journey
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15
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Data Analyst(3)