Timezone overlap
4h overlap with US East · Spain
English level
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About
Cecilia brings over eight years of experience transforming complex data into actionable insights, most recently as a Data Analyst at Halter. There, she developed algorithms that significantly improved animal welfare by reducing electric pulses by 32% without affecting virtual fencing performance, and enhanced the experience for 93% of animals. She also proactively identified 25% of malfunctioning collars before they were reported by farmers, and trained three non-technical customer support staff to use SQL and Grafana, tripling the feedback loop to farmers. Prior to Halter, she served as a Data Analyst at Patchwork Health, where she uncovered a 17% drop in trust revenue caused by a staff miscalculation. Her background also includes a Data Scientist role at Intellisense.io. She holds a PhD in Physics from the University of Twente and a Master in Physics from the University of Buenos Aires, bringing a strong analytical and scientific foundation to her data work. She thrives in environments with interesting datasets and seeks roles where her analysis can contribute to positive impact, particularly in health or environmental sectors. She enjoys continuous learning, collaborating with colleagues, and empowering junior professionals. While she uses AI to accelerate workflows, she maintains a critical eye, challenging every output to ensure accuracy and ownership of the final results.
Highlights
- Halter: Reduced electric pulses received by animals by 32% without affecting virtual fencing performance
- Halter: Developed an algorithm to reduce electric pulse energy and repetitions, improving experience for 93% of the animals
- Halter: Identified 25% of malfunctioning collars proactively, before they were reported by farmers
- Halter: Validated an equation to model leaf growth experimentally, enabling its integration into the product
- Halter: Trained 3 non-technical customer support staff to use SQL and Grafana for animal behaviour debugging, speeding 3x the feedback loop back to farmers.
- Patchwork health: Identified a 17% drop in trust revenue caused by a staff miscalculation within the organisation
- Patchwork Health: Mentored one junior data scientist through weekly one-to-one meetings, covering daily work challenges, process improvements, and both scientific and programming topics
- Intellisense.io: Developed and deployed a new stockpile model across 4 sites, enabling real-time tracking of dumped materials for the first time
- Intellisense.io: Onboarded and trained 2 junior data scientists to support the deployment of the stockpile model
- Patchwork Health: Identified a drop in user onboarding through funnel analysis, later linked to an overwhelming user experience
- Developed and deployed a new stockpile model across 4 sites, enabling real-time tracking of dumped materials for the first time
Work preferences
- Job type
- Full-time, Part-time
- Company size / type
- Early-stage startup (0-20), Growth-stage startup (21-200), Large/multinational (200+), Nonprofit / NGO, Social/Environmental Impact Company
- Culture
- Early-stage startup (0-20), Growth-stage startup (21-200), Independent, Large Company, Nonprofit / NGO, Public Organization
- Industries
- Information Technology
- Hours
- Overlap with EST morning
- Remote experience
- Based in Salou (Spain) and Bahia Blanca (Argentina) - worked for a start up in the UK Based in Salou (Spain) - worked for a start up in the UK
- Available from
- Aug 2026
Salary context
Benchmarks for SMB non-tech role · Senior (7+ yrs).
US figures from BLS OEWS 2024 + Glassdoor; India figures from US SMB offshore vendor pricing. Adjusted for the candidate's seniority.
Work experience
- Data Analyst · HalterMay 2023 — Feb 2026NZ
- Reconciled and analysed large datasets of IoT sensor streams ( collar telemetry, animal behaviour, GPS movement, solar panel performance) uncovering trends and patterns to support product and operational decisions. - Developed and optimised SQL…
- Data Analyst · Patchwork HealthJul 2020 — Apr 2023GB
- Developed and maintained advanced SQL-driven dashboards used daily by NHS trust managers to track staffing performance and shift coverage across multiple hospital systems. - Utilised Python scripting for automation, data cleaning, and ML-based…
- Data Scientist · Intellisense.ioJul 2017 — Jun 2020GB
- Delivered end-to-end data analysis and optimisation projects: sensor data extraction, cleaning, integrity verification, statistical and physical modelling, and production implementation. - Developed mongoDB queries for data extraction and…
Education
- Postdoctoral Researcher · University of Twente2016—2016NL
- PhD · University of Twente2012—2016NL· Physics - Data Extraction, Data Analysis & Theoretical Modelling (Biomedical Sensor)
- Master · University of Buenos Aires2005—2010AR· Physics