At a Glance
- Tasks: Lead data analysis and reporting to drive performance insights and decision-making.
- Company: Join a well-established organisation with a collaborative team culture.
- Benefits: Competitive salary, professional development, and opportunities for career growth.
- Other info: Dynamic role with a focus on innovation and teamwork.
- Why this job: Make a real impact by improving data quality and performance reporting.
- Qualifications: Strong analytical skills and experience with data tools like Excel and SQL.
The predicted salary is between 45000 - 55000 £ per year.
The Role We are supporting a well-established organisation in the region with the appointment of a Data Lead to join a busy and collaborative team.
This is an excellent opportunity for a highly organised and analytical professional who enjoys working with data, reporting, systems administration, and stakeholder engagement.
The purpose of this role is to provide ownership of the analytical elements of the PMF, ensuring that high-quality, consistent and meaningful performance insight supports decision making, accountability, and delivery against missions and shared outcomes.
The role leads the coordination and development of data across teams, bridging current reporting approaches with the design of sustainable, automated data warehouse solutions.
Provide oversight of central repositories of performance data definitions and ensure indicators are correctly defined, consistently applied, and updated in line with organisational requirements in close relationship with data engineer and data architect.
Work with directorates to lead improvements in performance data quality, ensuring that all indicators meet the standards set out in the PMF, including clear definitions, robust baselines, agreed targets, and appropriate data collection methodologies
Provide leadership for performance reporting for PMF undertaking hands-on analysis and quality assurance activity where appropriate to ensure accuracy, consistency and compliance with governance requirements.
Provide leadership for the development of performance reports, dashboards, visualisations, and scorecards, ensuring they align with PMF requirements and provide clear, meaningful insight.
Apply advanced analytical skills using tools such as Excel, Power BI, SQL, or equivalent platforms to inform standards, assure quality and interpret performance insight.
...
Data Lead in Newcastle upon Tyne employer: Nigel Wright Group Careers
As a leading engineering business in the North East, our client offers an exceptional work environment that fosters innovation and technical excellence. Employees benefit from a collaborative culture that encourages professional growth and development, with clear pathways to advance into leadership roles. The company's commitment to bespoke product development in safety-critical environments ensures that every team member plays a vital role in solving complex challenges, making this an exciting and rewarding place to work.
Contact Details:
Nigel Wright Group Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead in Newcastle upon Tyne
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We think you need these skills to ace Data Lead in Newcastle upon Tyne
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 Nigel Wright Group Careers, 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 Nigel Wright Group Careers. 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 Nigel Wright Group Careers
✨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!
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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 Nigel Wright Group Careers!
✨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.
