At a Glance
- Tasks: Lead data-driven performance assurance and develop insightful dashboards for informed decision-making.
- Company: Leidos, a leading tech company focused on operational excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on innovation and career advancement.
- Why this job: Make a real impact by driving continuous improvement through data and analytics.
- Qualifications: Experience in data analysis, KPI reporting, and operational processes.
The predicted salary is between 45000 - 55000 £ per year.
Leidos is recruiting an Operational Performance Assurance Lead in the UK to support the Head of Operational Performance in delivering a robust assurance framework. The role focuses on data, analytics and KPI reporting to drive informed decisions at senior levels.
You will review operational processes, contractual requirements and reporting obligations, developing dashboards and MI to provide evidence-based recommendations and continuous improvement.
Data-Driven Operational Performance Lead in Bicester employer: Leidos
Leidos is an exceptional employer that fosters a dynamic work culture in Whiteley, Hampshire, where innovation and collaboration thrive. With a strong focus on employee growth, we offer comprehensive benefits including a contributory pension, private medical insurance, and an impressive 33 days of annual leave, ensuring our team members are well-supported both personally and professionally. Join us to be part of a market-leading operation that values your contributions and empowers you to drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Data-Driven Operational Performance Lead in Bicester
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Data-Driven Operational Performance Lead at Leidos, 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 Data-Driven Operational Performance Lead in Bicester
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 Leidos, 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 Leidos. 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 Leidos
✨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 Leidos!
✨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.