At a Glance
- Tasks: Transform data into actionable insights to enhance customer experience and business performance.
- Company: Fast-growing tech scale-up with a vibrant team and ambitious growth plans.
- Benefits: Competitive salary, training support, free parking, and on-site health facilities.
- Other info: Exciting opportunities for professional development in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact through data analysis.
- Qualifications: Experience in data analysis, strong SQL skills, and a degree in a relevant field.
The predicted salary is between 31500 - 38500 £ per year.
Our client is a successful tech scale‑up, a cash‑generative SME currently at c.£12m turnover and c.80 staff, looking to double in size in the next five years under the guidance of its experienced, highly charismatic and driven owner, supported by a first‑class senior leadership team including new CEO.
We are looking to strengthen the company’s Data & Insight capability, working closely with the organisation’s Operations Director who leads high‑performing Customer Service, Project Delivery, IT and HR teams, Datal Analyst.
As Data Analyst, based at the company's North East headquarters, you’ll turn customer, sales and operational data into clear, actionable insight.
Working closely with Marketing, Operations and Finance, this role is ideal for a detail‑oriented Analyst who enjoys translating numbers into recommendations that improve customer experience and business performance.
- Your Key Responsibilities Will Include
- Building and maintaining dashboards and self‑service reports (e. g. Power BI) for membership, sales and retention metrics
- Automating recurring reporting to reduce manual effort and improve accuracy
- Ensuring reports are accurate, well‑documented and easy for non‑technical users to interpret
- Analysing trends in customer growth, churn, engagement and campaign performance
- Responding to ad hoc analysis requests from Marketing, Operations and Finance
- Identifying patterns and flagging risks or opportunities to relevant stakeholders
- Validating incoming data feeds from customer, EPOS and marketing systems
- Investigating and resolve data discrepancies in collaboration with the Data Engineer Maintaining clear documentation of report logic and data sources
- Working with colleague teams to understand information needs
- Presenting findings clearly to both technical and non‑technical audiences
- Supporting the Lead Data Analyst in prioritising the analytics workload
- As Data Analyst, You’ll Need
- Strong, commercial Data Analyst experience gained in a similar role, preferably in a fast‑moving, growing health and/or tech consumer product/service business
- Degree or equivalent in Data, Tech or numerate discipline
- Strong SQL skills and confidence working with large datasets - experience with Python or R for data analysis also beneficial
- Proficient in Excel and at least one BI tool (e. g. Power BI, Tableau) – customer management and EPOS system knowledge advantageous
- Excellent attention to detail and a methodical approach to analysis, ideally including a basic understanding of statistical concepts
- Curious and analytical, with a genuine interest in what the story the data tells
- Able to explain technical findings to non‑technical stakeholders
- High integrity, collaborative approach with strong organisational skills and ability to manage multiple requests
- Committed to continuous learning and professional development
- Rewards And Benefits
- Basic salary between £50,000 and £80,000 (plus benefits)
- Maximum pay/rewards, dependent on possessing all outlined experience, skills, knowledge and qualifications
- Full‑time, permanent role, office‑based in Gateshead
- Support with training and development
- Free parking
- On‑site health facilities, staff events and discounts, training/development and more
Please note: we review applications on receipt and aim to respond to shortlisted candidates within 5 working days.
You must have permanent eligibility to work in the UK - no visa opportunities available.
- Data Analyst, Gateshead
- #J-18808-Ljbffr
Data Analyst in North East employer: Catalyst
As a leading international technology manufacturer based in County Durham, our company is committed to fostering a dynamic and inclusive work environment where innovation thrives. We offer competitive benefits, a strong focus on employee development, and the opportunity to lead high-impact projects in a collaborative setting. Join us to be part of a culture that values accountability, continuous improvement, and cross-site collaboration, ensuring your contributions are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in North East
✨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 Catalyst!
✨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 Catalyst.
✨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 Catalyst.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Catalyst, 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 North East
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 Catalyst, 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 Catalyst. 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 Catalyst
✨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 Catalyst!
✨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.
