Analytics Engineer

AnaVation LLC; Warszawa; Hybrid; PLN 60,000 - 100,000; Full time

Job summary

An innovative logistics company is seeking an Analytics Engineer to enhance data-driven decision-making. In this role, you will build data pipelines and models, ensuring accessibility and reliability of data across teams. Collaborating with analysts, you'll foster a self-serve data culture, empowering everyone to leverage data effectively. This dynamic environment offers hybrid working, flexible hours, and a commitment to employee growth and development. Join a diverse team dedicated to transforming logistics for a sustainable future and make a significant impact in the industry.

Benefits

Meal Vouchers (40zł daily)

Wellness Allowance (171 zł/month)

Private healthcare by Luxmed

Work-from-Abroad policy (30 days/year)

Stuart Academy for upskilling

Qualifications

• 2+ years of experience with dbt, SQL, and data warehousing.
• Fluency in English and a sense of responsibility.

Responsibilities

• Build data pipelines and model data in our data warehouse.
• Collaborate with analysts to build scalable reporting.

Skills

SQL

Python

Data Analysis

Data Visualization

Collaboration

Documentation

Automation

Responsibility

Tools

dbt

Tableau

Looker

AWS S3

Redshift

Airbyte

Airflow

Castor

Superset

Job description

Stuart is a leading tech-enabled logistics platform that transforms on-demand delivery across sectors like food, grocery, and retail. Operating in over 130 cities across Europe, Stuart connects businesses with a network of independent couriers, providing access to fast, flexible, and efficient deliveries.

Our Mission

We are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient and reliable. We are committed to creating a new standard for urban deliveries that meet today’s environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience.

Stuart is a highly diverse and inclusive company of 280+ employees from different nationalities and backgrounds working across France, Italy, Poland, Spain, and the UK.

It’s the right moment and the right place for us to make an impact on millions of people, as home delivery services hit a record high. And guess what? You can help us fulfil our vision.

Let's talk about the Analytics Engineering Team

Our vision is to enable a data-driven decision-making culture at Stuart. We want to reduce the time to insight into the company by ensuring the availability, reliability, and accessibility of the data across all teams and countries at Stuart.

As an Analytics Engineer, you will get to know everything about Stuart’s key products and projects from a data standpoint. You will build high quality data pipelines and models, by applying software engineering best practices to analytics (powered by dbt). We serve all team's analytical needs by integrating new data points in our data lake and building gold-standard models in our data warehouse as well as testing and documenting them. Next to that you’ll play a key part in our mission to create a self-serve data culture, empowering everyone in Stuart to answer their own questions by using tools that match their needs.

As we have an international hiring team, please submit your resume in English.

What will I be doing?

• Build data pipelines and model data in our data warehouse, to allow anyone across the business to interact with data in the level of detail they need.
• Work together with your peers on start-to-end data projects.
• Collaborate with our analysts to build scalable reporting. Foster data discovery and strengthen data knowledge across the company by writing comprehensive documentation and metrics definitions.
• Maintain, together with the rest of the Analytics Engineering team, the core datasets that are used as a starting point for any analysis in the company.

What do we need from you?

• 2+ years of experience working with dbt, SQL, and data warehousing.
• 2+ years of experience working with Python and its relevant data analysis modules (pandas, numpy, matplotlib, etc.).
• 2+ years of experience with reporting and data visualization tools such as Tableau, Looker, etc.
• Knowledge of Git and some experience coding as part of a team.
• A sense of responsibility and a drive to help Stuart build a self-serve data culture. A natural affinity for structure and automation.
• Fluency in English.

Our Data stack is made up of AWS S3, Redshift, Airbyte, dbt, Airflow, Castor, Tableau, and Superset.

The stuff you want to know

• Work in an international, dynamic, and passionate environment with a company culture focused on learning and development.
• Hybrid working model and flexible hours.

• Current benefits include:
• Meal Vouchers (40zł daily).
• Stuart Academy, offering a wide range of upskilling and development opportunities.
• Wellness Allowance with our partner Juno 171 zł/month.
• Private healthcare provided by Luxmed.
• Work-from-Abroad policy (enjoy 30 days per year working from anywhere!).

At Stuart, we believe that employees today want to evolve in collaborative, high-growth environments where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their company’s culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning, and growth where everyone can bring expertise, own projects, and easily measure their impact.

Stuart is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly (unless the job posting is in a language other than English). Thank you.

Want to learn more about us? Visit https://stuart.com/about-us/