Data & Analytics

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Take a look behind the scenes at DocMorris

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.

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Key roles in the Data and Analytics team

Data Engineers

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.

Data Analysts

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.

Data Scientists

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.

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