At a Glance
- Tasks: Analyse data to uncover insights and support decision-making across the organisation.
- Company: Established digital business with a focus on innovation and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for advanced statistical analysis and career development.
- Why this job: Make an impact by transforming complex data into clear insights for millions of users.
- Qualifications: Experience in data analysis, strong SQL skills, and a passion for understanding user behaviour.
An established and highly successful digital business is looking for a Data Analyst to join its technology team, taking ownership of reporting and analytics across a platform used by millions of people. This is a great opportunity for someone with a couple of years' commercial data experience who enjoys getting beyond simply producing reports. You'll work with large datasets, help the business understand how its customers behave, analyse the impact of product changes and experiments, and turn complex information into clear, useful insights.
A key part of the role will be bringing greater consistency to how data is used across the organisation. You'll help create a reliable single source of truth for key metrics, build and maintain dashboards, and make it easier for teams across the business to make informed decisions without multiple people extracting and interpreting the same data in different ways.
What you'll be doing:
- Building and maintaining dashboards and regular business reporting
- Using SQL to query and analyse large datasets
- Presenting analysis in a clear and accessible way to both technical and non-technical audiences
- Analysing customer behaviour across the company's digital products
- Measuring the impact of new products, features and pricing changes
- Analysing results from A/B tests and experiments run through the company's internal experimentation platform
- Identifying trends, unusual behaviour and opportunities within the data
- Helping establish consistent KPIs and reporting across the organisation
- Supporting product and commercial teams with ad-hoc analysis
- Developing your knowledge of web analytics and Google Analytics
- Exploring more sophisticated statistical modelling and other ways of extracting value from the company's data
What we're looking for:
You don't need to be an expert in every area. We're looking for someone with a solid grounding in data analysis who is curious, commercially minded and comfortable investigating a problem rather than simply being told which report to produce.
You’ll ideally have:
- Commercial experience working as a Data Analyst, Product Analyst, BI Analyst or similar
- Good SQL skills and confidence querying relational databases
- Experience building dashboards and presenting data visually
- The ability to work with large datasets and turn analysis into meaningful conclusions
- Strong communication skills and the confidence to explain findings to non-technical stakeholders
- A genuine interest in user behaviour, digital products and understanding why metrics change
Experience with MySQL, GCP, Looker Studio/Data Studio, Google Analytics, A/B testing, product analytics or statistical analysis would all be useful, but you aren’t expected to have everything. The company has a huge amount of data and plenty of scope to do more with it, so this role should particularly suit someone who wants to develop beyond traditional reporting and gradually take on more sophisticated product and statistical analysis.
Data Analyst in Manchester employer: Cathcart Technology
Join a dynamic and innovative organisation in Liverpool that values its employees and fosters a collaborative work culture. As an IT Project Manager, you'll benefit from competitive pay, flexible working arrangements, and opportunities for professional growth while leading impactful projects in a fast-paced environment. With a focus on technology transformation and supply chain efficiency, this role offers a unique chance to make a real difference within the company and the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨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 Cathcart Technology!
✨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 Cathcart Technology.
✨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 Cathcart Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Cathcart Technology, 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 Manchester
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 Cathcart Technology, 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 Cathcart Technology. 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 Cathcart Technology
✨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 Cathcart Technology!
✨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.
