Data Analyst Intern

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

⚪️ Entry-level

📉 Data Analyst

🚫👨‍🎓 No degree required

👻 Ghost score 15%

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

• Support the collection, cleaning and organisation of data from different business systems. • Assist with preparing regular reports and dashboards for Product, Growth, Commercial and other teams. • Analyse data to identify trends, patterns and areas requiring attention. • Support the tracking and reporting of key business and product metrics. • Assist with data validation and quality checks to ensure reports are accurate. • Help translate business questions into simple data analyses and insights. • Support the Data Analyst with ad hoc analysis and data requests. • Document datasets, reports and basic analysis processes. • Work with team members to improve the availability and usability of business data.

🎯 Requirements

• Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics or a related field. • Basic understanding of data analysis and statistics. • Familiarity with Excel or Google Sheets. • Basic knowledge of SQL is an advantage. • Some exposure to data visualisation tools such as Power BI, Tableau or Looker Studio is an advantage. • Strong attention to detail and willingness to learn. • Good analytical and problem solving skills. • Good written and verbal communication skills. • Ability to work collaboratively in a fast paced environment.

🏖️ Benefits

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