Job Title: Graduate Data Analyst
Location: Remote (United Kingdom)
Salary: £30,000 – £35,000 per annum
Overview
On behalf of our client, a respected organization in the business consulting and services sector, we are pleased to announce an exciting opportunity for a Graduate Data Analyst. This full-time role is ideal for recent graduates or aspiring professionals seeking to establish a career in data analysis.
The successful candidate will join a dynamic analytics team and work on meaningful, real-world projects, gaining hands-on experience under the guidance of seasoned data analysts and consultants.
Please note: Onboarding will be conducted in person at our client’s London office.Key Responsibilities
As a Graduate Data Analyst, your role will involve supporting data-driven initiatives for both internal and external stakeholders. Core responsibilities include:
- Assisting with data gathering, research activities, and preliminary analysis
- Contributing to the development and maintenance of data pipelines and workflows
- Creating and updating visual dashboards using Power BI
- Writing and optimizing SQL queries for data extraction and analysis
- Presenting findings and insights in an accessible manner for both technical and non-technical audiences
- Documenting data processes, methodologies, and best practices
- Participating in team meetings and collaborative problem-solving sessions
- Continuously enhancing technical skills through real-time project exposure and mentorship
Candidate Profile
We are seeking a motivated and analytical individual who is eager to learn and contribute. The ideal candidate will possess:
- A degree in Statistics, Mathematics, Computer Science, Economics, Business, or a related field
- Proficiency in Microsoft Excel for data manipulation and organization
- Basic understanding of SQL, or a strong interest in developing SQL skills
- Familiarity with data visualization tools such as Power BI or Tableau (preferred, not required)
- Excellent attention to detail and a problem-solving mindset
- Strong communication skills, with the ability to convey insights clearly
- A positive, proactive attitude and a willingness to learn and grow within the role
What You’ll Gain
This opportunity offers a structured pathway into the field of data analytics, with a range of benefits including:
- Competitive salary package of £30,000 – £35,000
- 38-hour work week
- Remote working arrangement, with optional hybrid access for London-based candidates
- Performance-based bonuses
- Reimbursement of professional membership fees
- 28 days of paid annual leave, in addition to UK public holidays
- Enhanced pension scheme
- Paid leave entitlements for UK Armed Forces Reservists
- Access to a 24/7 Employee Assistance Programme, including GP access, mental health support, and wellness services
Hiring Process
The selection process is designed to be transparent and candidate-focused. It includes the following stages:
- Initial Conversation – An informal discussion to explore your interest in the role
- HR Interview – A comprehensive review of your background, motivations, and fit within the client’s team culture
- Technical Assessment – A practical evaluation of your analytical and data handling capabilities
Candidates are encouraged to ask questions at each stage to ensure mutual alignment.
Diversity & Inclusion Statement
Our client is committed to fostering an inclusive and equitable workplace. Applications are welcomed from candidates of all backgrounds, and reasonable adjustments can be made throughout the recruitment process.
The organization actively promotes:
- A collaborative and respectful working culture
- Mental health awareness and employee wellbeing
- Equal access to development and advancement opportunities
Important Note
Applicants must have the legal right to work in the United Kingdom. Unfortunately, our client is unable to sponsor visas for this role at this time.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst in Ipswich
✨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 Pimlico Enterprises!
✨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 Graduate Data Analyst at Pimlico Enterprises.
✨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 Pimlico Enterprises.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Analyst at Pimlico Enterprises, 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!
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 Pimlico Enterprises, 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 Pimlico Enterprises. 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 Pimlico Enterprises
✨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 Pimlico Enterprises!
✨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.
