Data Analyst

Data Analyst (Data and Integration)
Reading / Hybrid
6 months initially
£78 per hour inside IR35 / Umbrella
Due to the urgent nature of the role candidates must have active SC Clearance (DV is preferred but not mandatory) as you will be required to support sensitive MOD/aerospace programmes.
Job Purpose
The Data Analyst contributes to the evolution of the organisations data-driven strategy by providing in-depth analysis and recommendations based on objective data. Through data processing, visualisation and interpretation, they support business functions in making informed, efficient and measurable decisions. The role requires a combination of technical skills, analytical abilities and business acumen.
Key Capability Accountabilities and Objectives
· Analyse data from different sources to identify trends, patterns and anomalies to support strategic and operational decisions.
· Develop and maintain reports, interactive dashboards and monitoring tools for measuring business KPIs.
· Collaborate with cross-functional stakeholders to understand analytical needs and transform them into structured and scalable solutions.
· Write complex SQL queries for data extraction, transformation, and validation.
· Ensure the reliability, quality, and consistency of the data used for analysis.
· Creation of scalable and efficient data models for reporting purposes.
· Document analytical logic, metrics, and data sources to ensure transparency and repeatability of processes.
· End-to-end management of analytical projects: from business needs to effective communication of analysis results.
· Participate in the evolution of a data-driven corporate culture by promoting analytical and methodological best practices.
Qualifications (It is recommended to include specific qualifications)
Desirable Qualifications:
· Certifications in analytics or BI (e.g. Tableau, Power BI)
Skills and Experience

• Excellent command of SQL for data querying, transformation and validation.
• Familiarity with cloud-based environments for data analysis (BigQuery, Snowflake, Redshift, etc.).
• Experience in building dashboards and visualisations with tools such as Tableau, Power BI, Looker or equivalent.
• Good understanding of security, privacy and data governance principles.
• Basic knowledge of data warehouse concepts, data modelling and ETL pipelines.
• Professional membership of STEM related independent organisation e.g. Institute of Mathematics, Royal Engineering Society etc.
• Knowledge of statistical analysis languages such as Python or R.
• Ability to clearly communicate complex insights to non-technical stakeholders.
• Analytical skills, attention to detail and critical thinking.
• High ethical standards when handling confidential information.
• Strong verbal and written communication skills in English (written and verbal) with supervisors and team members.
• The ability to comprehend tasks, instructions, and feedback, as well as create reports and documents
• Ability to efficiently manage and prioritize multiple tasks and schedules.
• Ability to quickly respond to various challenges and identify appropriate solutions.