At a Glance
- Tasks: Lead a team of analysts to enhance Defence systems through data insights.
- Company: Join MASS, a global tech company focused on secure digital services.
- Benefits: Enjoy competitive salary, private medical and dental insurance, and generous leave options.
- Other info: Work in a friendly, inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in a dynamic environment while developing your leadership skills.
- Qualifications: Five years of system analysis experience and strong leadership abilities required.
- Lead Data Analyst - Wiltshire - Onsite
- Salary £DOE
- Private Medical Insurance + discounts for additional family members
- Private Dental Insurance
- 25 days annual leave plus public holidays
- Buy or sell up to 5 days’ annual leave
- Two charity days per year
- Two pension schemes to choose from
- Annual well-being allowance of £240
- Electric/Hybrid Car leasing scheme
- Cycle to work scheme
- Life Assurance scheme up to 4 x salary
We are seeking an experienced and driven Lead Data Analyst to oversee a specialist team responsible for assessing the performance, reliability and effectiveness of complex Defence systems.
Combining technical expertise with strong leadership skills, you will manage analysis activities, guide and develop team members, engage with key stakeholders, and deliver high-quality insights that support critical decision-making.
This is an exciting opportunity for someone with a passion for data analysis, problem-solving and continuous improvement within a highly technical and operational environment.
Your main responsibilities will be to
- Manage a small team providing expert analysis services.
- Ensure contracted core deliveries meet agreed milestones.
- Resource manage and support, where necessary, the analysis of functional data to determine system performance and reliability.
- Provide briefings to our intelligent customer and represent / support them at technical meetings.
- Ensure the effective dissemination of high-quality information to appropriate stakeholders.
- Ensure the application of recognised best practice in specialist areas.
- Provide mentoring and coaching to early career team members and support them in developing specialist skills where applicable.
The essential experience you’ll bring to the role will be
- Strong leadership, teamwork and organisational skills.
- Minimum five years of system analysis experience.
- A commitment to delivering high-quality solutions.
- Good understanding of system performance and statistical analysis.
- Experience of working with data, in an established team environment, to understand how it can help an organisation make better decisions.
- High standards of written, verbal and presentational communication skills.
- Highly desirable attributes for the role are
- A degree in a STEM subject or equivalent experience (ten years’ experience of the operation or maintenance of maritime weapon systems).
- Data Analysis methods – modelling, classification, regression, clustering, simulation and prediction
- Flexible and adaptable communicator who can tell a great factual story and adapt it to their audience.
- A natural curiosity, methodical and prodigious at solving problems.
Our non-negotiables
- You must be eligible to work and live in the UK
- Due to the highly secure nature of the projects, you’ll be working on, you must be a UK National, and be willing to undergo and maintain appropriate UK Government Security Clearance
Who is MASS?
MASS is an independent, global technology company, trusted by highly-secure organisations to provide advanced, digital services that manage data and keep information safe.
With our heritage in defence, we offer robust solutions to sectors where security expertise is essential.
We work in partnership with customers, using skilled, technical experts.
We think innovatively to provide tailored, agile and resilient solutions that secure advantage, so you’re ready for digital transformation.
MASS is an equal opportunities employer; we know that our people are smart, skilled and motivated and in return we provide a friendly workplace where everyone is valued and has the chance to make an impact.
Apply today to see how working for MASS could work for you
Lead Data Analys employer: MASS
Mass is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the defence sector. With a strong commitment to employee growth, you will benefit from professional development support and a generous benefits package, including 25 days of annual leave, all while working in the picturesque location of Corsham, England.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Analys
✨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 MASS!
✨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 Lead Data Analys at MASS.
✨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 MASS.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Analys at MASS, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Analys
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 MASS, 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 MASS. 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 MASS
✨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 MASS!
✨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.
