Data & Analytics

Our Data and Analytics team is essential for our decision making and for ensuring a personalised experience for our customers! Their innovative projects unlock the full potential of our data.

They support business growth by applying AI throughout our customer journey and internal processes, as well as by helping define strategic direction through descriptive, exploratory, and predictive analysis. Become part of the team to anticipate our customers' needs and optimise our services, thereby enhancing their experience.

Our Head of Data in Barcelona, Sierra, shares details about her team, their work, and what it's like to work at PromoFarma by DocMorris.

who build our data platform, consisting of data pipelines and data warehouses, which is the foundation and enabler for all our automated data processes and the projects of our Data Analysts and Data Scientists. Our current tech stack includes Snowflake, k8s, Airflow, Argo, dbt, and the AWS/GCP clouds, developing in Python and SQL.

who explore and visualise our data, to generate insights which empower our marketing, business, operations, finance, product, and tech teams as they make data-driven decisions. These analyses are performed using BI tools (Tableau, QlikSense, Plotly Dash, Streamlit, etc.), as well as directly with SQL in our Snowflake data warehouses and/or with Python/R.

who develop predictive models with ML/AI, to personalise our consumer facing applications and optimise our internal processes. Our datasets come from our Snowflake data warehouses, our models run on compute resources from the AWS/GCP clouds, and we take full advantage of Python libraries as well as tools like MLflow and Streamlit.

Josu, Data Scientist

Ever wondered what it’s like to work at PromoFarma by DocMorris?

Discover behind-the-scenes stories from our talented team, learn about their daily experiences, and explore how we’re shaping the future of healthcare together.

It is the collection of tools and languages PromoFarma uses to build and maintain its platform. In it, you will find the specific technologies used across our Data, Cloud, Frontend, Backend, QA, and SAP teams.

This article explores the migration to React Native using a single JavaScript/ TypeScript codebase to streamline development across platforms. It highlights the balance between efficiency and performance, while emphasizing the value of a supportive and diverse engineering culture.

Our test automation strategy has evolved toward a more unified approach using TypeScript and Playwright to enhance efficiency. By implementing dynamic data management and contract testing, we significantly reduce pipeline flakiness and streamline the development lifecycle.