Rodrigo Panero Fernández

Data Analyst · University Lecturer · Partner Associate at MIDAT 1

Data analyst and vocational lecturer. I work with ETL architecture, predictive modelling and Business Intelligence for public and private clients, using Python and SQL for end-to-end analysis — from raw data to decision-ready Power BI dashboards. Alongside this, I have spent 5 years teaching over 200 higher-VET students across Business & Administration (AFI) and Commerce & Marketing (COI), where I teach these very methods. I combine technical rigour with strong communication skills to turn complex data into business decisions.

Oviedo · Madrid · MIDAT 1 · Universidad Complutense de Madrid — LinkedIn · panerofernandez.rodrigo@gmail.com

Professional Experience · Teaching

• Vocational Lecturer — Higher Level — Instituto Nebrija · Madrid

  2021 — Present

  Teaches Business in the Classroom, Applied Data Analysis and Corporate Communication to groups of 20–40 students. Case-based methodology grounded in real professional scenarios, with consistently high student satisfaction scores.

• Vocational Teacher — Intermediate & Higher Level — IES Los Olivos · Madrid

  2020 — 2021

  Responsible for Commercial Research, Product Launch, Market Information Systems and Business Simulation modules. Designed and delivered interdisciplinary projects with a real-company approach.

• Guest Speaker — University Extension — UCJC · Madrid

  2020 — 2022

  Recurring invited speaker at academic seminars on political communication, electoral data analysis and applied demoscopy. Recognised for translating technical data into clear, accessible insights for academic and executive audiences.

Professional Experience · Data Analytics

• Co-founder & Analytics Director — EM-Analytics · EM-Electomanía

  2020 — Present

  Co-founded two data-driven ventures: EM-Electomanía (real-time electoral analysis) and EM-Analytics (demoscopic and predictive consultancy). Leads the technical and strategic communication areas serving public and private sector clients.

• Partner Associate — Information Systems — EM-Analytics · EM-Electomanía

  2021 — Present

  Designs and builds georeferenced ETL data pipelines. Developed Extracta M03 (automated data extraction), integrated Miner IA (on-premise LLM) and built real-time demoscopic dashboards for institutional clients.

• Electoral Data Analyst — Target Point · Madrid

  2019 — 2020

  Quantitative analysis and social geolocation for the 28A general election, regional, European and municipal elections (26M). Built predictive vote models and sociological profiling of voter typologies.

• Communication & Data Consultant — Padula & Partners

  Feb — Aug 2020

  Advised private sector clients on corporate communication strategy and data-driven reputation management. Produced positioning reports and diagnostic assessments based on quantitative analysis.

Skills & Competencies

• Political & corporate communication
• Didactics & curriculum design
• Commercial & market research
• Executive & team training
• Media presence & public speaking
• Electoral intelligence & demoscopy
• Data analysis & predictive modelling
• ETL architecture & data pipelines
• Visualisation & strategic reporting
• On-premise LLM integration

Academic Background

• Master's in Teacher Training (Secondary & VET) — Universidad Complutense de Madrid (2021)
• Master's in Political & Corporate Communication — Universidad Camilo José Cela (UCJC) (2018)
• Bachelor's in Business Administration (ADE) — Universidad de León (2017)
• Continuous training in Data Analysis & Applied AI — EM-Analytics · Real-project applied learning (2021+)

Languages

• Spanish — Native
• English — Advanced (B2)
• French — Basic (A2)

Key Highlights

• 5+ Electoral campaigns — Data analysis across national and local electoral processes
• 3 Academic institutions — Nebrija · IES Los Olivos · UCJC
• 8+ Media appearances — Cuatro, Buenos Días Madrid, Todo es Mentira, La Razón, Expansión
• 2 Companies co-founded — EM-Analytics · EM-Electomanía