
About this role
Skello develops the reference HR solution for planning and managing field teams, addressing the gap where field teams represent 50% of European workers but only 20% of digital solutions. The Data team views data as a powerful growth lever, built on four pillars: data quality (ETL, tests), analytical expertise (advanced analyses, dashboards), efficiency (automation, code quality), and innovation (Machine Learning, genAI).
As a Data Analyst Intern, you'll participate fully in the data analytics team, handling two main missions. Interact with Sales, Finance, Marketing, and Product teams to understand their problems and provide technical solutions like new KPIs, Looker performance dashboards, and ad-hoc analyses. Maintain and improve the ETL pipeline via dbt connected to Snowflake.
The team prioritizes project impact for Skello clients and internal data users. Roles are not siloed, requiring willingness to upskill across data ingestion, transformation (ETL), quality, analysis, reporting, pedagogy, and sharp business sense. Join 400+ collaborators across three European hubs.
Gain access to a modern stack: dbt, Snowflake, Looker, Airbyte, Stitch, Airflow. Progress technically on ETL pipeline maintenance. Understand business exchanges and acquire a global view of company challenges via data.
Requirements
- Willingness to upskill on all data aspects: ingestion, transformation (ETL), data quality, analysis, reporting, pedagogy
- Sharp business sense
- Ability to exchange with business stakeholders (Sales, Finance, Product)
- Interest in modern data stack like dbt, Snowflake, Looker
- Focus on data quality, analytics, efficiency, and innovation
Responsibilities
- Understand challenges from Sales, Finance, Marketing, Product teams and provide technical solutions
- Propose new KPIs
- Build performance tracking dashboards in Looker
- Perform ad-hoc analyses to answer specific questions
- Maintain and improve Skello's ETL pipeline via dbt (Snowflake connection)
- Collaborate with Data Engineers and Developers to add new data sources
- Create new models or improve existing ones for concrete problems
Benefits
- Access to modern tech stack: dbt, Snowflake, Looker, Airbyte, Stitch, Airflow
- Cross-functional collaboration with Sales, Finance, Marketing, Product
- Impact projects for 25,000 companies and 600,000 daily users
- Live SHIFT values: Set the bar higher, Have each other’s back, Imagine tomorrow start today, Focus on customers first, Take work seriously not ourselves
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