At a Glance
- Tasks: Transform complex data into actionable insights and partner with teams to tackle business challenges.
- Company: Join a globally recognised organisation with a strong focus on analytics and innovation.
- Benefits: Competitive salary, excellent perks, hybrid working, and opportunities for professional growth.
- Other info: Collaborative culture that values analytical thinking and encourages creative solutions.
- Why this job: Be part of a high-performing team and make a real impact on decision-making.
- Qualifications: 1+ years as a Data Analyst, strong SQL, Excel, and Python skills required.
The predicted salary is between 40000 - 60000 £ per year.
Join a high-performing analytics team and make an impact at scale. If you're an ambitious Data Analyst looking for more than just another reporting role, this could be an opportunity worth exploring. Our client is a highly successful, globally recognised organisation with an established reputation in its sector and a genuinely exciting data agenda. With analytics playing an increasingly important role in how the business operates and makes decisions, they are investing heavily in their people, technology and capabilities.
You'll join a large, multi-disciplinary Advanced Analytics function that operates almost like an internal consultancy - partnering with teams across the organisation, tackling complex business challenges and delivering insights that genuinely influence decision-making. This isn't a role where you'll simply be handed a set of requirements and asked to produce a dashboard. You'll be encouraged to ask questions, challenge thinking, uncover opportunities and turn data into meaningful commercial insight.
Why join?
- Working within a high-profile, established global organisation
- An internal consultancy-style environment, giving you exposure to a huge variety of business areas and challenges
- The opportunity to work alongside experienced Analytics Leads and talented analytical peers
- Exposure to advanced technologies, data and analytical techniques
- Significant opportunities to develop your technical and commercial skillset
- Regular interaction with stakeholders across the wider business, including senior decision-makers
- The chance to work on exciting, high-impact projects rather than simply maintaining BAU reporting
- A strong package of employee benefits, perks and rewards
- A collaborative culture where ideas are encouraged and analytical thinking is genuinely valued
- Hybrid working, with 3 days per week in the Middlesex office
The opportunity
The Advanced Analytics team is headed up by four Analytics Leads, each working across exciting and innovative projects for the wider business. As a Data Analyst, you'll work closely with one of these Leads and your fellow analysts, becoming a trusted analytical partner to different areas of the organisation. You’ll take complex business questions, understand what the data is telling you and turn that into clear, commercially relevant insight. You’ll have plenty of opportunity to build your stakeholder management skills, present your findings to a broad audience and develop your ability to communicate technical concepts in a way that makes sense to non-technical people.
What you'll be doing
- Partner with core business areas to understand their data, reporting, visualisation and analytical requirements
- Work across a portfolio of dashboards, visualisations and data sources, driving their ongoing development and improvement
- Deliver robust and accurate datasets and visualisations within agreed timescales
- Structure complex problems and develop numerical models to support business decision-making
- Work collaboratively with multiple stakeholders, bringing people together and gaining buy-in for new ideas and approaches
- Use data to answer critical business questions and uncover meaningful insights
- Apply a range of analytical tools and technologies, including SQL, Tableau, Python and Excel
- Present your findings and recommendations clearly to both technical and non-technical audiences
What we're looking for
We're looking for someone who is naturally curious about data and enjoys understanding the story behind the numbers. You’ll ideally have:
- At least 1 year's experience in a Data Analyst / Analyst position
- Strong SQL skills, alongside experience with Excel and Python (or similar)
- Experience working with large, complex or multiple datasets
- Experience designing and building dashboards and data visualisations, ideally using Tableau
- Experience analysing complex problems and turning findings into clear, actionable insights
- The ability to communicate analytical findings effectively to a broad stakeholder audience
- Experience managing databases and/or blending data from multiple sources
- Experience designing data structures for management information
- Strong presentation and communication skills
- The confidence to challenge and influence stakeholders, including senior audiences
- A creative, solutions-focused approach and a genuine desire to make things better
Candidates must have the right to work in the UK without sponsorship requirements.
Data Analyst - Newcastle employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the secure government and defence sectors. Employees benefit from meaningful projects that have a direct impact on national security, alongside opportunities for professional growth and development in cutting-edge technologies. With a hybrid working model and a focus on employee well-being, this role provides a unique chance to contribute to critical transformation programmes while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Newcastle
✨Get Involved in Data Science Meetups
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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 Datatech Analytics.
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We think you need these skills to ace Data Analyst - Newcastle
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 Datatech Analytics, 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 Datatech Analytics. 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 Datatech Analytics
✨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 Datatech Analytics!
✨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.
