Paris, France
Internship Explorer
Internship Explorer
Spendesk is seeking an Analytics Engineer Intern (IC1) to join our Datapoints squad and support our growing data organization. Reporting to the Squad Team Lead and working closely with our Analytics Engineers, Data Engineer, Software Engineer, Data Product Manager, you will help transform raw data into reliable, well-documented datasets used across Product, Finance, and Go-to-Market teams. This is a great opportunity for someone who wants to learn how modern analytics teams operate in a fast-moving tech company. You will contribute to real data products, improve the quality of analytics assets, and gain hands-on experience with tools such as dbt, Snowflake, and BI platforms, while being coached by senior team members. About the role As an Analytics Engineer Intern, you will support the Datapoints squad in building and maintaining the analytics layer that powers reporting and decision-making at Spendesk. You will work on clearly scoped tasks with guidance from more senior team members. This may include improving model documentation, helping maintain shared datasets, supporting dashboard migration and cleanup, and contributing to data quality checks. Over the course of your 4-month-internship, you will learn how analytics engineering connects data engineering, business needs, and self-service analytics. This role is ideal for a student or early-career profile who is curious about data, comfortable with SQL, who had previous internship experienced manipulating data (python, SQL) and who is eager to learn how to build clean and useful analytics assets in a production environment. Our tech environment Our data platform relies on a modern data stack: * Data platform: dbt (core and Cloud), Snowflake, Looker (original), Metabase, Amplitude for Product analytics * Ingestion / exposure: Airbyte (cloud), Fivetran, Hightouch, Segment, Airflow * Monitoring & collaboration: Github for versioning and CI/CD, Synq for observability, Notion for documentation, Slack for communication You are not expected to know all these tools already. What matters most is your willingness to learn and your interest in data modeling, analytics, and business problems. Key responsibilities Data transformation & modeling You will: * Support the creation and maintenance of analytics-ready datasets in dbt and Snowflake * Help clean, organize, and document existing models used in dashboards and reporting * Contribute to simple transformations that make raw data easier to use for business teams * Learn and apply good practices in naming, structure, and reusability of analytics models Data quality & documentation You will: * Help improve documentation of models, fields, and business definitions * Contribute to data quality checks and basic testing to make analytics assets more reliable * Leverage LLM models and understand how they are customized to Spendesk (skills, hooks, …) for a governed and secured execution * Support the maintenance of semantic descriptions and YAML files for models * Help identify inconsistencies or missing context in data used by internal stakeholders BI migration & analytics enablement You will: * Support the team in dashboard cleanup and migration activities as we evolve our BI setup * Help review existing dashboards and data sources to improve consistency and usability * Contribute to making analytics assets easier to discover and understand for business users * Learn how shared models and standard definitions enable self-service analytics at scale Collaboration & learning You will: * Work closely with senior Analytics Engineers and other members of the Datapoints squad on well-scoped projects * Collaborate with internal stakeholders to understand reporting needs and data questions * Participate in team rituals, documentation practices, and code/model reviews as part of your learning journey * Continuously grow your understanding of analytics engineering, business metrics, and Spendesk’s data ecosystem
