Data Analyst

Job not on LinkedIn

🕒 August 21

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Rayda

WebsiteLinkedInAll Job Openings

11 - 50 employees

📦 Logistics

💼 Consulting

🏥 Healthcare

💰 Pre seed on 2023-02

Logistics • Consulting • Healthcare

Rayda is a SaaS platform that automates global employee device lifecycle management for companies. It handles procurement, pre-configuration, international shipping, tracking, maintenance, secure data wiping, retrieval, storage, insurance, and sustainable disposal across 170+ countries, enabling IT, HR, and operations teams to equip remote employees quickly and reliably. Rayda centralizes device tracking and documentation, reduces device-related tickets and costs, and accelerates onboarding and offboarding workflows for distributed, enterprise customers.

📋 Description

• Build Rayda's data warehouse and analytics infrastructure, bringing together product, billing and customer interaction data from multiple systems. • Integrate and maintain data from Segment, PostHog, Customer.io and the core product. • Develop reliable data models and transformation layers that create a single source of truth for business data. • Build and maintain scalable data pipelines and workflows to ensure data is accurate, consistent and accessible. • Develop high-value datasets and analytical models supporting Product, Growth, Commercial and leadership decision-making. • Enable teams to self-serve reliable data and insights without depending on manual reporting. • Identify and resolve data quality, consistency and integrity issues across source systems. • Analyse product and customer data to uncover usage patterns, churn risks and expansion opportunities. • Establish clear documentation and processes for data models, pipelines and the broader analytics environment. • Partner with Product, Growth, Commercial and other teams to continuously improve Rayda's data capabilities.

🎯 Requirements

• 3–6 years of experience in data analytics, analytics engineering, data engineering or a related field. • Proven experience building a data warehouse or data lake from scratch. • Strong hands-on experience with SQL, data modelling 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.

🏖️ Benefits

• Be part of a mission-driven company shaping the future of work and sustainability. • Work with a globally distributed, ambitious, and collaborative team.