At a Glance
- Tasks: Deliver data-driven insights and support digital transformation through analysis and reporting.
- Company: Join a global leader in aerospace, defence, and space with a commitment to innovation.
- Benefits: Enjoy flexible benefits, 25 days holiday, and a supportive work environment.
- Other info: Engage in diverse groups and forums for personal and professional growth.
- Why this job: Be part of a mission to decarbonise aerospace and make a real impact.
- Qualifications: Strong skills in Power BI, SQL, and Excel; analytical mindset required.
The predicted salary is between 35000 - 45000 £ per year.
Here, we craft excellence together. If you're ready to take your career to new heights and be part of a company that's crafting the future of flight, apply today.
Why Safran?
- A global presence: Be part of a global aerospace, defence & space business with over 100,000 colleagues, across 300 sites in 30 countries.
- Inclusive & empowering environment: We celebrate our differences and believe they make us stronger. We know that a fulfilling work environment is a key driver for innovative ideas and team success.
- Innovation at the core: Join our mission to decarbonise aerospace and make the world a safer place. Your ambitions can take us further.
- Mobility & training opportunities: We can support your ambitions with training, development, a personalised career plan and mobility opportunities.
- A culture of excellence: Join a team that values collaboration, integrity, and continuous improvement. Whatever your background, together we aim for excellence.
- Get involved: We also have a number of groups and forums across our sites that you can get involved with, including Women at Safran, Diversity at Safran, Sports Clubs, STEM ambassadors, Employee Forum, Charity Partnerships and Wellbeing Programs.
Skills: Power BI, SQL, Data Visualisation, Reporting, Business Intelligence, Excel, SAP, Python, Data Governance
Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you both in and out of work, including:
- 25 days holiday plus bank holidays, with extra days at key service milestones (5, 10, 20, 30, 40 years)
- Flexitime with the chance to finish early on Fridays (role dependent)
- Onsite amenities: free parking, canteen with subsidised lunch, barista coffee, bike storage, and showers
- 7% company pension contribution from day one
- Health Cash Plan after probation
- Enhanced family friendly benefits (maternity, paternity), and employee assistance programme
- Share purchase scheme after three months' service
- Up to 5% annual bonus
- Company sick pay
- Access to a benefits portal: life assurance, cycle to work, retail discounts, healthcare, wellbeing, lifestyle benefits and more
- Green Travel Scheme: earn points for sustainable commuting, redeemable for Amazon vouchers
- Development opportunities through Safran University and internal training
- Salary sacrifice schemes, including Cycle to Work and Octopus EV (after probation)
- Involvement in sustainability, charity, volunteering, and networks including Diversity@Safran, Women@Safran, and our Men's Health Network
Your Role
As a Data Analyst, you will play a key role in delivering data-driven insights and supporting the company's digital transformation journey. You will lead the implementation of data analysis, reporting, and business intelligence solutions, working closely with internal stakeholders and international teams to improve data maturity and enable informed decision-making across the business.
Key responsibilities include:
- Delivering data analysis, visualisation, and reporting solutions, primarily using Power BI
- Leading the development of business intelligence dashboards and improving reporting automation
- Working closely with stakeholders to understand business needs and translate them into data solutions
- Supporting and coordinating digital transformation initiatives within the organisation
- Acting as a key link between operational teams, IT, and corporate digital functions
- Supporting the implementation of data governance practices, including data quality and data cataloguing
- Contributing to cross-functional continuous improvement projects
- Participating in the global Data Analyst community to align with corporate strategy and best practice
What You'll Bring
Essential:
- Strong technical capability in Power BI, SQL, and Excel
- Strong analytical, mathematical, and problem-solving skills
- Ability to interpret business needs and translate them into data solutions
- Proactive and independent approach with a focus on continuous improvement
- Strong stakeholder engagement and communication skills
- Commitment to delivering high-quality outputs to deadlines
Desirable:
- Experience working with SAP or complex enterprise data systems
- Knowledge of Python or other analytical tools
- Experience combining data from multiple sources
- Understanding of data governance principles
- Comfortable working in a digital transformation environment and with emerging technologies such as generative AI
- Experience managing or contributing to cross-functional projects
Additional Information:
- Travel: Initial travel to France for training and onboarding (first 6 months), with occasional travel thereafter
Data Analyst in Fareham employer: Safran
At Safran, we pride ourselves on being an exceptional employer that champions innovation and inclusivity within the aerospace, defence, and space sectors. Our commitment to employee growth is evident through tailored training programmes, flexible benefits, and a vibrant work culture that encourages collaboration and community involvement. Join us in crafting a sustainable future while enjoying a supportive environment that values your contributions and ambitions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Fareham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Safran!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Safran.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Safran.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Analyst in Fareham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Safran, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Safran. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Safran
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Safran!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
