Senior Data Analyst, CS Ops & Analytics – Remote

TuoTempo; Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

Docplanner's Customer Success organisation serves hundreds of thousands of healthcare professionals across 13 markets.

This role sits within Global CS Ops & Analytics, the team that acts as the connective layer between the business and Docplanner's data organisation: BI (dashboard and data standardisation), Data Platform (infrastructure, architecture, DWH), and Product Analytics (product launches and opportunities).

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); solid Python, especially for statistical and predictive modelling.
• Working knowledge of statistical modelling (regression analysis, forecasting/prediction, A/B testing).
• Hands-on experience with Superset and/or Tableau, building dashboards for non-technical audiences.
• Professional fluency in English (Spanish is a plus).

Responsibilities

• Build and maintain dashboards and data models for the business line.
• Develop analytics models and predictive analytics capabilities.
• Work AI-first: leverage AI to query, code, and analyse faster.
• Bridge business and data teams as the translation layer between BI, Data Platform and Product Analytics.
• Lead deep dives and run experiments to surface opportunities.
• Triage requests and align with stakeholders on priorities.

Skills

SQL

Python

Statistical modelling

A/B testing

Education

Degree in a quantitative field

Tools

Superset

Tableau

Job description

Docplanner's Customer Success organisation serves hundreds of thousands of healthcare professionals across 13 markets.

This role sits within Global CS Ops & Analytics, the team that acts as the connective layer between the business and Docplanner's data organisation: BI (dashboard and data standardisation), Data Platform (infrastructure, architecture, DWH), and Product Analytics (product launches and opportunities).