Graduate Data Analyst
Role details
Job location
Tech stack
Job description
Graduate Data Analyst | Edinburgh (Hybrid) | Graduate Opportunity | Competitive Pay & Benefits Kick-start your data career with one of Scotland's leading Microsoft Partners. At Quorum, we don't just offer jobs - we build careers. As a Microsoft Direct Cloud Solutions Provider (CSP) and one of Scotland's largest Microsoft Partners, we're growing fast and looking for a curious, driven Graduate Data Analyst to join our team. If you're passionate about data, love solving problems, and want to work in an environment that invests heavily in your development - this could be the perfect first step. Why Join Quorum? We take your growth seriously. From day one, you'll benefit from structured training, ongoing mentorship, and real opportunities to shape your career. What you can expect: Dedicated training & development pathways Bonuses for Microsoft certifications A personal annual tech budget to keep your skills sharp Competitive salary + annual bonus opportunities Private healthcare & contributory pension Flexibility to buy/sell holidays Support for home broadband costs A genuinely supportive, collaborative culture with low staff turnover Inclusive, people-first culture recognised for our family-friendly approach What You'll Be Doing as a Graduate Data Analyst You'll play a key role in turning data into meaningful insights that drive decisions, for both Quorum and our clients. Your day-to-day will include: Creating and maintaining interactive dashboards and reports (internal & client-facing) Performing exploratory data analysis to identify patterns and anomalies, providing trend analysis, identifying problems and working with the wider team to implement solutions. Translating data into actionable insights and recommendations Identifying opportunities to automate processes and improve data processes improving our business efficiency Collaborating with Product Owners and stakeholders to solve real business problems
Requirements
You'll ideally have: A degree in a quantitative field (Maths, Statistics, Science) or equivalent experience Experience with BI tools like Power BI, Tableau, Looker, or Qlik Proficiency in Python, SQL, R or other languages for extracting analysing and manipulating data. An understanding of data pipelines / ETL processes (nice to have) Strong problem-solving skills and attention to detail Excellent communication skills; you can explain data clearly