About the position

We are looking for our first Analytics Engineer to join the data team composed of Data Analysts, Data & Speech Scientists and Machine Learning Engineers.

You want to learn more about what exactly is an Analytics Engineer role? Have a look at this article.

With the recent acquisition of Lalilo by Renaissance Learning, we now have access to a lot of new external data sources. Mikael, our Data Engineer, set up a mature and automated data platform but we are lacking data governance to easily work with it.

Hence, we are now looking for someone who will enable Lalilians to get value out of data.

Your job description encompasses:

• creating data models from new data sources based on end-users or internal needs
• ensuring the data pipeline is running smoothly with high data quality standards and continuous improvement in mind for processes and documentations related to data
• driving data governance at Lalilo
• contributing to data team ceremonies and projects (meetings & syncs, quick data requests, bug fixes, data analysis and tech tickets, …)

Here are potential projects you will work on in the coming months:

• Cross company data exchange
• Creation of data marts
• Redesign event collection

Our technical stack is today composed of tools such as dbt, Snowflake, Fivetran, Tableau and more.

Who would you work with?

You will mainly work with the data-team, composed today of 8 persons. But you will also work closely with our Software Engineers and with our colleagues from Renaissance Group based in the USA. Driving data governance at Lalilo, you will also work with the Product team, Pedago team, Sales… 🙂

We’re looking for an Analyst Engineer who:

• Masters SQL: you can solve any SQL problems, deeply understand how it works under the hood
• Understands data analysts & data scientists needs to create the best data models
• Has a structured mindset approach to solve any kind of problems and present the outcome in a clear and concise way
• Takes initiatives to find the right tool for the right problem
• Is a team player, autonomous and able to navigate in unstructured environments

Requirements

• At least one significant experience with design and creation of data models
• Expertise in SQL
• Development best practices (versioning, alerting, …) and core tools (git, terminal…)
• Outstanding verbal and writing skills, professional English

Preferred

• Familiar with data pipeline concepts, best if already set up one or equivalent (ETL, ELT, …)
• Experience with dbt
• Experience with at least one scripting language (Python, js, …)
• Experience with a BI/Product Analytics Tool (MixPanel, Tableau, …)

Hiring process

• screening call
• technical test in pair programming
• case study
• motivation interview
• reference checks
• offer 🎉