Analytics Engineer - Internship - Spendesk H/F Spendesk

Learn how to turn data into trusted business insights

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

What we're looking for

Experience & background

You are:

• Currently studying in a relevant field such as data, analytics, computer science, engineering, economics, or a related discipline

• Looking for an internship where you can learn by doing and contribute to real business challenges

• Interested in analytics, business intelligence, and data modeling

Technical requirements

You have:

• Basic to intermediate knowledge of SQL

• Some familiarity with spreadsheets, BI tools, Python, or data-related coursework/projects is a plus

• An interest in learning tools such as dbt, Snowflake, GitHub, and modern BI platforms

• A structured and detail-oriented approach when working with data

Communication & mindset

You are:

• Curious, rigorous, and eager to learn from feedback

• Comfortable asking questions and collaborating with others

• Interested in understanding both the technical and business side of data

• Able to communicate clearly in English, our working language

As we are an international team, please submit your application and CV in English

About Spendesk
Spendesk is the AI-powered spend management and procurement platform that transforms company spending. By simplifying procurement, payment cards, expense management, invoice processing, and accounting automation, Spendesk sets the new standard for spending at work. Its single, intelligent solution makes efficient spending easy for employees and gives finance leaders the full visibility and control they need across all company spend, even in multi-entity structures. Trusted by thousands of companies, Spendesk supports over 200,000 users across brands such as Payfit, Accor, Welcome to the Jungle, Swile, Big Mamma, Malt and Yousign. With offices in the United Kingdom, France, Spain and Germany, Spendesk also puts community at the heart of its mission.

For more information: www.spendesk.com/press

About our people & culture
We believe that people do their best work when they're given the freedom to thrive and grow. That's why liberation is at the core of everything we do. We empower Spendeskers to take ownership of their work, to navigate ambiguity, and seize every opportunity. Spendeskers come from all over the world (35+ countries and counting!) but we have plenty in common: we're bold, ever-curious, committed to kindness, and tackle every challenge with a positive mindset.

About our benefits
Our culture is built on trust, empowerment, and growth - with benefits to match!

• Flexible on-site and remote policy

• Lunch 60% funded by Spendesk (Swile Card)

• Alan Premium health insurance

• A Gymlib pass to let off steam after a productive day at work

• Access to Moka.care for emotional and mental health wellbeing

• Latest Apple equipment

• Great office snacks to fuel your day

• A positive team to work with daily!

Diversity & Inclusion

At Spendesk, we're committed to fostering an environment where all differences are encouraged, supported and celebrated. We're building our culture for everyone, with everyone. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome and we truly embrace and encourage people from all backgrounds to apply.

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.

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 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

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.

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

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

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

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

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

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

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

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

You are:

• Currently studying in a relevant field such as data, analytics, computer science, engineering, economics, or a related discipline

• Looking for an internship where you can learn by doing and contribute to real business challenges

• Interested in analytics, business intelligence, and data modeling

Currently studying in a relevant field such as data, analytics, computer science, engineering, economics, or a related discipline

Looking for an internship where you can learn by doing and contribute to real business challenges

Interested in analytics, business intelligence, and data modeling

You have:

• Basic to intermediate knowledge of SQL

• Some familiarity with spreadsheets, BI tools, Python, or data-related coursework/projects is a plus

• An interest in learning tools such as dbt, Snowflake, GitHub, and modern BI platforms

• A structured and detail-oriented approach when working with data

Basic to intermediate knowledge of SQL

Some familiarity with spreadsheets, BI tools, Python, or data-related coursework/projects is a plus

An interest in learning tools such as dbt, Snowflake, GitHub, and modern BI platforms

A structured and detail-oriented approach when working with data

You are:

• Curious, rigorous, and eager to learn from feedback

• Comfortable asking questions and collaborating with others

• Interested in understanding both the technical and business side of data

• Able to communicate clearly in English, our working language

Curious, rigorous, and eager to learn from feedback

Comfortable asking questions and collaborating with others

Interested in understanding both the technical and business side of data

Able to communicate clearly in English, our working language

As we are an international team, please submit your application and CV in English

About Spendesk
Spendesk is the AI-powered spend management and procurement platform that transforms company spending. By simplifying procurement, payment cards, expense management, invoice processing, and accounting automation, Spendesk sets the new standard for spending at work. Its single, intelligent solution makes efficient spending easy for employees and gives finance leaders the full visibility and control they need across all company spend, even in multi-entity structures. Trusted by thousands of companies, Spendesk supports over 200,000 users across brands such as Payfit, Accor, Welcome to the Jungle, Swile, Big Mamma, Malt and Yousign. With offices in the United Kingdom, France, Spain and Germany, Spendesk also puts community at the heart of its mission.

For more information: www.spendesk.com/press

About our people & culture
We believe that people do their best work when they're given the freedom to thrive and grow. That's why liberation is at the core of everything we do. We empower Spendeskers to take ownership of their work, to navigate ambiguity, and seize every opportunity. Spendeskers come from all over the world (35+ countries and counting!) but we have plenty in common: we're bold, ever-curious, committed to kindness, and tackle every challenge with a positive mindset.

About our benefits
Our culture is built on trust, empowerment, and growth - with benefits to match!

• Flexible on-site and remote policy

• Lunch 60% funded by Spendesk (Swile Card)

• Alan Premium health insurance

• A Gymlib pass to let off steam after a productive day at work

• Access to Moka.care for emotional and mental health wellbeing

• Latest Apple equipment

• Great office snacks to fuel your day

• A positive team to work with daily!

Flexible on-site and remote policy

Lunch 60% funded by Spendesk (Swile Card)

Alan Premium health insurance

A Gymlib pass to let off steam after a productive day at work

Access to Moka.care for emotional and mental health wellbeing

Latest Apple equipment

Great office snacks to fuel your day

A positive team to work with daily!

Diversity & Inclusion

At Spendesk, we're committed to fostering an environment where all differences are encouraged, supported and celebrated. We're building our culture for everyone, with everyone. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome and we truly embrace and encourage people from all backgrounds to apply.

is Europe's leading AI-powered spend management and procurement platform that transforms company spending. By simplifying procurement, payment cards, expense management, invoice processing, and accounting automation, Spendesk sets the new standard for spending at work for companies with up to 1,000 employees.

Trusted by thousands of companies, Spendesk supports over 200,000 users across brands such as SoundCloud, Pigment, and Bloom & Wild. With offices in the United Kingdom, France, Spain, and Germany, Spendesk also puts community at the heart of its mission with Spendesk believes that people do their best work when they're given the freedom to thrive and grow. Being bold, bringing a positive attitude, and taking full ownership are fundamental to their culture.

Ready to grow further? Check out their open roles!