The Role
Build and maintain Rayda’s data warehouse, analytics infrastructure, data models, transformation layers, pipelines, and workflows. Integrate product, billing, and customer interaction data from multiple platforms, improve data quality and governance, and create reliable datasets and analytical models. Enable self-service analytics and collaborate with Product, Growth, Commercial, and leadership teams to uncover usage patterns, churn risks, and expansion opportunities.
Summary Generated by Built In
This is a remote position.
Requirements
Benefits
Why Join Rayda?
Be part of a mission-driven company shaping the future of work and sustainability.
Work with a globally distributed, ambitious, and collaborative team.
Skills Required
- 3-6 years of experience in data analytics, analytics engineering, data engineering, or a related field
- Experience building a data warehouse or data lake from scratch
- Strong hands-on experience with SQL, data modeling, and data transformation
- Experience with dbt or similar analytics engineering tools
- Experience with cloud data warehouses and data orchestration
- Experience working with event-based data and product analytics
- Experience integrating data from multiple systems and working with fragmented or messy datasets
- Strong understanding of data quality, data governance, and documentation
- Ability to translate complex product, billing, and customer data into reliable, usable datasets and insights
- Experience collaborating with Product, Growth, and Commercial teams
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The Company
What We Do
Rayda is a technology company providing an end-to-end platform for businesses to procure, manage, track, and retrieve IT devices for remote teams globally, with specific expertise in emerging markets across 170+ countries. It simplifies the entire device lifecycle from procurement and configuration to secure retrieval and data wiping, helping companies onboard international talent efficiently.
