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You will be updated with latest job alerts via emailAs an Analytics Engineer you will be joining JobTeasers Analytics team and report to Maxime our Lead Data.
The Analytics team is now part of the Strategy team in order to foster the synergy between the 2 teams. Indeed the Analytics team now directly contributes to making people more autonomous in capturing the data they need. The PMM who are datasavvy are the main internal clients of this new strategy.
As an Analytics Engineer you will play a central role in this new strategy to build the models needed by all the internal users and be THE main user of our data transformation tool: dbt.
In your daytoday you will be interacting with a lot of people:
BI analyst in charge of developing the dashboard for reporting the performance of our products to the clients and the dashboard embedded in the Back Office of our Product to deliver data to our university partners;
Product Marketing Managers in charge of performing strategic analysis to fuel the decisions for the main initiatives at JobTeaser.
Business owners to clarify business needs and bring up new dbt models to unlock datadriven analytics needs.
Developers inside squads to make sure we collect the right data to feed the data transformations needed by the Analytics teams;
Your responsibilities within the Analytics teams cover:
Build data models: collect needs for data transformations define unique sources of truth for our metrics and dimensions implement data models in dbt make sure we make the most of dbts features in particular through constant watch
Govern our data model: keep overall consistency of our data model define policies and standards for data management ensure quality and reliability of our data model ensure the documentation of our data model
Provide support & train the main users of your models: deliver the necessary training to make sure People use your models iterate on models to make sure they better tackle their needs.
Contribute to maintaining the data pipeline: contribute to maintain the Python code base for Airflow launch relevant incident process to fix the refresh with developers keep an eye on potential evolution to suggest evolutions to the pipeline.
A potential evolution for your role would be to upskill yourself and take more responsibility in maintaining the pipeline overtime. It could lead you to take a growing ownership of the pipeline code base. You would be trained by the development team.
Our data stack:
Tracking: Rudderstack
Ingestion: Kafka/Debezium Airbyte
Transformation: dbt Airflow
Storage/Compute: S3/Athena postgreSQL
Dataviz: Tableau Superset Amplitude
Qualifications :
You have at least 1 significant experience in Analytics Engineering with dbt
SQL & data modelling in DBT has no more secrets for you
Experience with Airflow (with a good knowledge of Python) is a plus
You know how to deal with technical and nontechnical stakeholders to collect needs challenge them and make clear and informed decisions on the data model
You carry a clear technical vision on how to structure data management practices
You have excellent communication skills both written and spoken
You have a resultdriven and impactoriented mindset
Fluency in English & in French
Additional Information :
At JobTeaser get ready to
Your hiring process and the next steps
In order to identify the perfect fit for us (and also for you!) we offer a comprehensive hiring process with the possibility to get to know all your future key team members and between each step of your process you will receive constructive feedback from our Talent team.
We are committed to creating a working environment where everyone feels comfortable. We promote diversity within our teams and every application we receive is screened through a unique preestablished competencybased process.
Remote Work :
No
Employment Type :
Fulltime
Full-time