GoodHabitz este o companie de învățare online din sectorul educației, care oferă cursuri atractive și accesibile prin platforma sa digitală de învățare. Activitatea companiei reunește echipe de creare a conținutului, marketing, inginerie de produs și vânzări pentru a dezvolta experiențe de învățare axate pe competențele viitorului și pe dezvoltarea personală și profesională practică. Cu o cultură de echipă bazată pe colaborare și operațiuni în orașe din Europa, GoodHabitz își propune să facă învățarea online plăcută și adoptată pe scară largă.
Analytics Engineer – GoodHabitz
Build governed Databricks and dbt data models for GoodHabitz’s international online learning platform. Establish event taxonomies, shared metrics, data quality, and self-service analytics.
Descriere
- Assess GoodHabitz’s Databricks estate, define trust levels, and recommend owners for sources and tables.
- Build and version dbt transformations from silver to gold using dimensional modelling and a semantic layer.
- Create point-in-time dimensions that preserve historical data.
- Develop and implement an event taxonomy and naming conventions with engineering.
- Manage the metric catalog and its approval process.
- Build models for activation, engagement, and retention.
- Create semantic models and documentation that support self-service analytics.
- Establish data quality standards and include approval in the Definition of Done.
- Monitor instrumentation to catch issues early.
- Work with product teams to inform feature development through measurement.
- Collaborate with the data engineer and product, business, project management, design, and engineering stakeholders.
- Report to the Product Data Lead.
Cerințe
- Production-level SQL experience.
- Use Git as part of your regular workflow.
- Experience with dimensional modelling and semantic layers.
- Experience creating a tracking plan or event taxonomy with engineering.
- A track record of establishing enforcement processes, such as data contracts, CI validation, or Definition of Done gates.
- Ability to turn ambiguous product and business questions into clear, durable measurement definitions.
- Experience with Databricks or Unity Catalog, multi-surface B2B SaaS products, or data observability tools is a plus.
- Experience working on a product team or closely with product managers, designers, and engineers.
- Willingness to create governance and standards from the ground up.
- Ability to design reusable models across a fragmented data estate.
- Comfort defining processes and upholding standards.
Beneficii
- Competitive salary and a role-specific performance bonus.
- 25 days of paid holiday.
- Travel budget.
- Flexible work environment.
- Laptop.
- Unlimited access to GoodHabitz resources and MyAcademy.
- Mental coaching support.
- Diverse and inclusive teams.
- Themed events and team-building activities.
- One fully paid Do-Good Day each year for volunteering.
- Disability and pension coverage.