Data Analyst

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.

• 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.