Strategy Analyst

The post holder will provide analytical support to the Strategy & Innovation function by contributing to the ATI’s market modelling, analytics, economics, and decision‑support capabilities. The role is designed for an early‑career professional with strong quantitative foundations who is motivated to develop capability across modelling, data science, data engineering, and executive‑level insight generation. The post holder will also be expected to play a leading role in the deployment of AI toolsets and automation across the ATI.

Key Activities and Responsibilities

• Modelling and analysis: Contribute to updates of ATI market models, including integration of new datasets, parameter assumptions, and maintenance of sensitivity/scenario analyses; ensure clear documentation of methodologies, inputs and caveats.
• Business intelligence and visualisation: Develop and maintain Power BI datasets and reports (Power Query/M, DAX) using sound dimensional modelling (e.g., star schema) and versioned refresh processes to support decision‑making by internal and external stakeholders.
• Data management and quality: Prepare, transform and validate data using SQL and, where appropriate, Python or R; apply coding standards, basic tests, and repository hygiene to ensure reproducibility.
• Insight communication: Produce concise briefing notes, dashboards and presentations that set out findings, limitations and implications; present analysis to colleagues and contribute to external outputs as required.
• Continuous improvement: Support the adoption of good practice in modelling governance, BI standards, and (where appropriate) safe, value‑adding use of AI‑assisted tooling within ATI guardrails.

The Candidate

We’re seeking a candidate who shares our core values and brings them to life in everything they do. The candidate will need to demonstrate a forward‑thinking mindset and lead with accountability. They must believe in the power of collaboration for success by working effectively with others to achieve shared goals.

Qualifications and Experience

• Degree (or equivalent professional experience) in Data Science, Computer Science, Statistics, Applied Mathematics, Analytics, or a closely related discipline.
• Practical experience in Python (pandas) or R, and SQL for data preparation and analysis.
• Working knowledge of Power BI (Power Query/M and basic DAX) and a clear motivation to develop advanced BI capability.
• Sound statistics fundamentals (e.g., descriptive statistics, regression/forecasting basics, uncertainty and sensitivity).
• Ability to communicate analytical findings clearly across a variety of communication modes, including verbally, presentations, and reports.
• Practical experience using generative AI tools to augment analysis, utilising structured prompting and disciplined validation of outputs.

Desirable Attributes

• Experience with data‑model design (star/snowflake), Power BI Service (workspaces, permissions, deployment pipelines) and/or Microsoft Fabric.
• Knowledge of aerospace markets and value chains (e.g., platform families; OE vs. aftermarket/MRO).
• Exposure to MATLAB or C++ for model prototyping, optimisation or performance‑critical routines (advantageous but not required).
• Familiarity with econometrics and time‑series methods beyond the basics.
• Awareness of responsible AI and data protection considerations when using AI systems (e.g., governance, transparency, privacy/security).

ATI Benefits

• Competitive salary
• Hybrid working policy, with daily core hours
• Attractive pension scheme
• Bupa Private Medical Insurance
• EV Scheme
• Discretionary bonus scheme
• Life Assurance
• Perkbox Reward & Recognition Scheme
• Professional development training
• Paid membership to one professional body per year
• 25 days annual leave, plus bank holidays and additional Christmas leave
• Additional one day of leave upon reaching 3, 5, and 7 years of continuous service
• Birthday Leave
• Family friendly leave policies

Right to work

Candidates must have the right to work in the UK.