Data Analyst (DV cleared)
iO Associates
Gloucester, United Kingdom
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
£ 80KJob location
Gloucester, United Kingdom
Tech stack
API
Business Analytics Applications
Data analysis
Big Data
Databases
Data Governance
Data Warehousing
Relational Databases
Python
PostgreSQL
Oracle Applications
Power BI
SQL Databases
Tableau
Data Processing
Job description
We're seeking a detail-oriented Data Analyst to analyse large, complex datasets, uncovering critical trends, patterns, and insights that drive time-sensitive, data-driven decisions. You'll translate sophisticated data analysis into clear, actionable recommendations for senior stakeholders, playing a pivotal role in mission-critical intelligence delivery. Core Responsibilities
- Data Acquisition: Gather and integrate data from diverse enterprise sources (databases, APIs, systems)
- Data Quality: Clean, validate, and preprocess large datasets ensuring integrity for high-stakes analysis
- Exploratory Analysis: Conduct deep-dive statistical analysis to identify patterns, anomalies, and correlations
- Visual Intelligence: Build executive-ready reports, dashboards, and visualisations (Power BI/Tableau)
- Stakeholder Communication: Present complex findings clearly and confidently to non-technical audiences
- Sensitive Data Handling: Perform analysis on classified/sensitive datasets with strict security protocols
- Requirements Translation: Convert stakeholder needs into prioritised analytics workstreams for delivery teams
Requirements
Technical Foundation:
- Strong Python or SQL proficiency for data manipulation, analysis, and automation
- End-to-end ownership of analytics solutions (requirements - deployment)
Analytical Excellence:
- Proven ability interpreting complex datasets to deliver actionable business intelligence
- Experience analysing large-scale datasets for intelligence reporting
- Highly advantageous: Analysis experience on sensitive/classified systems
Technical Advantages:
- Relational databases (PostgreSQL, Oracle) and data warehouse exposure
- Dashboard development (Power BI, Tableau, or similar)
- Data governance and security best practices