At a Glance
- Tasks: Transform complex data into actionable insights and create impactful visualisations.
- Company: A growing organisation investing in data and technology capabilities.
- Benefits: Salary up to £50,000, hybrid work, and ongoing professional development.
- Other info: Dynamic environment with exposure to modern analytics and cloud technologies.
- Why this job: Join a collaborative team and make a real impact with data-driven decisions.
- Qualifications: Experience as a Data Analyst, strong SQL skills, and dashboard development expertise.
The predicted salary is between 50000 - 50000 £ per year.
We are partnering with a well‑established and growing organisation that is continuing to invest in its data and technology capabilities. With data playing an increasingly important role in business decision‑making, they are looking to expand their analytics function with the addition of a Data Analyst. This role will sit within a collaborative technology team and focus on turning complex data into meaningful insights that support operational performance, reporting and strategic initiatives.
You will work closely with stakeholders across the business, helping to understand requirements, develop reporting solutions and uncover trends that drive informed decision‑making. The position offers exposure to modern reporting technologies, cloud‑based data sources and large datasets, making it an excellent opportunity for someone looking to develop their analytical skills within a forward‑thinking environment. This opportunity is ideal for a Data Analyst who enjoys working with stakeholders, creating impactful visualisations and using data to solve real business challenges.
Responsibilities- Analyse and interpret data from multiple sources to deliver actionable business insights
- Write SQL queries to extract, manipulate and analyse data from enterprise systems
- Work with stakeholders to gather reporting requirements and translate business needs into analytical solutions
- Develop and maintain interactive dashboards and reports using Power BI
- Present insights, trends and recommendations through clear visualisations
- Perform detailed analysis to identify patterns, anomalies and opportunities for business improvement
- Deliver training and support to users to maximise adoption of reporting tools and dashboards
- Previous experience working as a Data Analyst or in a similar analytical role
- Strong SQL skills with experience extracting and analysing data from relational databases
- Experience developing dashboards and visualisations using Power BI
- Experience working with cloud‑based data sources
- Ability to translate complex data into meaningful business insights for non‑technical stakeholders
- Understanding of data modelling
- Salary up to £50,000
- Opportunity to join a growing and data‑driven organisation
- Exposure to modern analytics, reporting and cloud technologies
- Work with large and varied datasets across multiple business functions
- Collaborative and supportive team environment
- Ongoing professional development and learning opportunities
Data Analyst in Newcastle upon Tyne employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and collaboration, offering a dynamic work environment for a Senior Power Platform Developer. With a strong focus on employee growth, you will have the opportunity to lead projects, mentor fellow developers, and shape the technical direction of the company while enjoying the flexibility of a hybrid working model. This role not only provides competitive remuneration but also fosters a culture of continuous learning and development, making it an excellent choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Newcastle upon Tyne
✨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 Nigel Frank!
✨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 Nigel Frank.
✨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 Nigel Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Nigel Frank, 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 Analyst 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 Frank, 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 Frank. 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 Frank
✨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 Nigel Frank!
✨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.
