At a Glance
- Tasks: Support strategy with data analysis, modelling, and AI tool deployment.
- Company: Join a forward-thinking team in a dynamic analytics environment.
- Benefits: Enjoy hybrid working, competitive salary, and professional development opportunities.
- Other info: Great career growth potential and a supportive, collaborative culture.
- Why this job: Make an impact in strategy and innovation while developing your analytical skills.
- Qualifications: Degree in Data Science or related field; experience in Python, R, and SQL.
The predicted salary is between 35000 - 45000 € per year.
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.
Strategy Analyst in London employer: Aerospace Technology Institute
Join a forward-thinking team in London as a Strategy Analyst, where you'll thrive in a hybrid working environment that promotes collaboration and innovation. With a strong focus on professional development, competitive benefits including private medical insurance and generous leave policies, this role offers an excellent opportunity for early-career professionals to grow their analytical skills while contributing to impactful projects in the aerospace sector. Experience a supportive work culture that values accountability and continuous improvement, making it an ideal place for those seeking meaningful and rewarding employment.
Contact Detail:
Aerospace Technology Institute Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Strategy Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use examples from your experience with Python, SQL, or Power BI to demonstrate your capabilities. Remember, confidence is key!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for openings that match your skills and interests, and tailor your approach to each role.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. It shows your enthusiasm for the role and keeps you on their radar as they make their decision.
We think you need these skills to ace Strategy Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Strategy Analyst role. Highlight your quantitative foundations and any relevant projects you've worked on, especially those involving data science or analytics.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how your background makes you a great fit. Don’t just repeat your CV; instead, share specific examples of your analytical work and how it can contribute to our team.
Showcase Your Technical Skills:Since the role involves tools like Python, SQL, and Power BI, make sure to mention your proficiency in these areas. If you’ve used generative AI tools or have experience with data modelling, let us know!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Aerospace Technology Institute
✨Know Your Numbers
As a Strategy Analyst, you'll be dealing with a lot of data. Brush up on your quantitative skills and be ready to discuss your experience with Python, R, and SQL. Prepare examples of how you've used these tools in past projects to showcase your analytical prowess.
✨Master Power BI
Since the role involves developing and maintaining Power BI datasets, make sure you’re familiar with Power Query/M and DAX. Bring along a sample report or dashboard you've created to demonstrate your skills and understanding of dimensional modelling.
✨Communicate Clearly
You’ll need to present your findings effectively, so practice summarising complex analyses into concise briefing notes or presentations. Think about how you can explain your insights to someone without a technical background, as this will show your ability to communicate across different levels.
✨Show Your Curiosity
The role requires a forward-thinking mindset, so come prepared with questions about the company’s use of AI and data governance. This not only shows your interest in the position but also your eagerness to contribute to continuous improvement within the team.
