/Graduate R&D Analyst

Graduate R&D Analyst

Saltash, UKgbvia direct
// Job Type
Full Time
// Salary
GBP 30,000 - 30,000/year
// Salary Range
30,000–30,000 GBP / year
// Posted
1 month ago
// Seniority
junior
// Work Mode
onsite

About the Role

Role Overview Are you a recent graduate or early-career professional with a passion for data and problem-solving? We are looking for a Junior R&D Data Analyst to help us capture, process, and analyse data from experiments and machines. You will work closely with our R&D team, learning how to turn raw data into insights that drive innovation and improve processes. This is a fantastic opportunity to gain hands-on experience in data analysis, laboratory work, and applied research while building a strong foundation in R&D and manufacturing technologies. Key Responsibilities Data Capture & Management Assist the R&D team in collecting and organizing data from lab experiments and deployed machines. Support the development and maintenance of digital and manual data collection systems. Help ensure data is accurate, well-documented, and easy to access for analysis. Data Analysis & Insights Learn to analyze data to identify trends, patterns, and opportunities for improvement. Support the team with statistical analysis, simple modeling, and reporting. Translate findings into clear and practical insights for internal teams and clients. Visualization & Communication Help create dashboards, reports, and KPIs to communicate data effectively. Present data in a clear and accessible way to support decision-making. Assist in preparing presentations for internal and external stakeholders. General Responsibilities Support R&D projects, helping to bring ideas from concept to delivery. Assist with lab operations and experiments under guidance. Learn and follow health and safety protocols in the laboratory environment. Contribute ideas to improve internal processes and workflows. Who We’re Looking For Qualifications & Skills Recent graduate or studying in Data Science, Engineering, Computer Science, Mathematics, or related field. Familiarity with Excel, Python, SQL, Power BI, or similar tools is a plus (training provided if needed). Interest in data analysis and turning data into actionable insights. Strong problem-solving skills and curiosity to learn new tools and techniques. Good communication skills, both written and verbal. Interest in materials, manufacturing, or R&D environments is desirable but not essential.

Tech Stack

ExcelPythonSQLPower BIdata analysisstatistical analysisdashboardsreporting

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