Analytics Engineer M/F/D

About the Role 

You will play a central role in our strategy to empower all internal users with the data they need to make autonomous decisions. 

As our Analytics Engineer, you will play a central role in this mission, serving as the primary owner and internal champion of our core data transformation tool: dbt.

You will join the Analytics team of 3 people: Maxime (Head of Data hands-on), Salomé (Data Analyst Product) and one Analytics Engineer. This analytics team reports to Benjamin, the CTO of JobTeaser.

Who you'll collaborate with

In your day-to-day, you will sit at the crossroads of business and Tech, interacting closely with:

• Analyst: Delivering product performance dashboards for our clients and embedded reporting for our university partners.

• Product Managers (PMs): Analyzing feature adoption and fueling product exploration with data

• Product Marketing Managers (PMMs): Fueling their strategic analyses to guide JobTeaser’s main initiatives.

• Business Owners: Translating complex business requirements and expressing the needs of data insights.

• Software Engineers (Squads): Having the knowledge of the raw data used in our Data Platform.

What you'll do

• Build & Optimize Data Models: Collect data transformation needs, define single sources of truth for our metrics and dimensions, and implement scalable models while staying ahead of dbt best practices.

• Drive data governance: Maintain the overall consistency, quality, and reliability of our data model. Define data management policies and ensure comprehensive, user-friendly documentation.

• Empower & train users: Deliver the necessary training to ensure stakeholders can use your models effectively. Iterate on models alongside users to better tackle their evolving needs.

• Maintain pipelines & tracking: Contribute to the Python/Airflow codebase, troubleshoot pipeline incidents with developers, and elevate the quality of tracking data flowing into Amplitude.

Examples of Projects You'll Tackle

• Data Export Service: 

  • Design dbt models to power data exports for our partners

  • help optimize the underlying Python/Airflow export service codebase.

• Self-Service Analytics: 

  • Build "off-the-shelf" data tables alongside end-users to fuel their analyses. 

  • Join tracking data with dbt data in Amplitude

  • improve upstream tracking with tech teams

  • write documentation of these models

• Strategic Roadmapping: Take ownership of the roadmap for your scope, actively aligning your upcoming projects with JT's goals for the quarters ahead.

Growth & Career Evolution 

We believe in continuous learning. In this role, you will have the opportunity to upskill and take growing ownership of the data pipeline over time. With mentorship and training from our development team, this role can serve as a stepping stone toward broader Data Engineering responsibilities.

Our Data Stack

• Transformation & Orchestration: dbt, Airflow

• Ingestion: Kafka/Debezium, Airbyte

• Storage & Compute: S3/Athena, PostgreSQL

• Tracking & Product Analytics: Rudderstack, Amplitude

• Dataviz: Tableau, Superset