Senior Data Analytics Lead - AI & Forecasting for Growth

MioDottore; Barcelona; Remote; EUR 52,000 - 86,000; Full time

Benefits offered by this job

Healthcare insurance

Flexible remote work

Time off / vacation

Job summary

Docplanner's Customer Success Analytics team serves hundreds of thousands of healthcare professionals across markets. This role partners with the VP of your business line to own deep dives, data models, dashboards, and experiments that scale across 13 markets.

You will translate business needs into technical solutions, build automated reports in Tableau or Superset, apply statistical methods, and promote AI-first analysis while collaborating with BI, Data Platform, and Product Analytics.

Qualifications

• Degree in a quantitative field (Engineering, Statistics, Mathematics, Physics, or similar).
• +3-5 years of relevant analytics experience as an individual contributor.
• Very good SQL skills (Amazon Redshift preferred); Python for statistics and predictive modelling.
• Experience with statistical modelling and regression/forecasting.
• Hands-on experience with Superset and Tableau, building dashboards for non-technical audiences.
• Fluent in English; Spanish is a plus.

Responsibilities

• Reporting, dashboards & data models: Build and maintain recurring reports, dashboards, and data models.
• Analytical models: statistics & prediction: Update models, run analyses, and develop MVPs.
• AI-first execution: Use AI for querying, coding, and analysis; reuse code and libraries.
• Bridging business and data teams: Translate requirements between BI, Data Platform, and Product Analytics.
• Driving analytics for your business line: Lead deep dives, experiments, and insights to inform decisions.
• Prioritisation & stakeholder alignment: Triage requests and align with stakeholders on priorities.

Skills

SQL

Python

Statistical modelling

Dashboards

English proficiency

Education

Quantitative degree

Tools

Tableau

Superset

Job description

Docplanner's Customer Success Analytics team serves hundreds of thousands of healthcare professionals across markets. This role partners with the VP of your business line to own deep dives, data models, dashboards, and experiments that scale across 13 markets.

You will translate business needs into technical solutions, build automated reports in Tableau or Superset, apply statistical methods, and promote AI-first analysis while collaborating with BI, Data Platform, and Product Analytics.