Offer summary

Qualifications:

Strong background in data analytics and engineering., Experience with DBT models and data transformation., Proficiency in creating interactive data visualizations., Familiarity with data best practices and compliance standards..

Key responsibilities:

Develop and maintain a library of DBT models for data capture and transformation.

Create reusable analytics components for efficient dashboard creation.

Design and implement interactive data dashboards with advanced visualizations.

Establish and promote a culture of data best practices and compliance within the team.

Job description

About RocketX

Scale-ups are built on a technology, unique product, and deep understanding of the domain. But how to accelerate growth, or stay ahead of competition? At RocketX, we believe that scaling a business goes beyond just growth. We bring data and technology into the customer journey with unique and deep data insights and actionable go-to-market plans. RocketX is trusted by over 400 of the fastest growing companies in Europe. We accelerate these exceptional scale-ups, creating a truly scalable and sustainable revenue engine.

If you are passionate about making a lasting impact in the dynamic world of scale-ups, then RocketX is the place for you.

What you’ll be doing

We are looking for a highly motivated Data Analytics Engineer to drive the data insights behind our cutting-edge commercial intelligence platform. Designed for scale-ups, you provide them comprehensive insights into their business operations.

Key responsibilities

Data modeling. Develop a library of DBT models to capture data from dominant ERP, CRM, and HR platforms in the industry, clean & transform these into actionable insights.
Reusable analytics components. Create reusable components using a semantic layer to quickly define dashboards with deep insights into the sales journey.
Interactive analytics dashboards. Create interactive data dashboards using state-of-the-art visualizations such as Sankey, Cohorts, Decomposition Tree, Root Cause Analysis, and Graph Views.
DataOps. Create a culture of data best practices, implementing version control, CI/CD, full data lineage, GDPR compliance, data unit and integration testing & documentation.

Required profile