At a Glance
- Tasks: Support data-driven projects, assist with analysis, and create visual dashboards.
- Company: Join a respected business consulting organisation focused on analytics and real-world impact.
- Benefits: Enjoy remote work, competitive salary, performance bonuses, and 28 days of paid leave.
- Why this job: Gain hands-on experience in a dynamic team while developing your data analysis skills.
- Qualifications: Degree in a relevant field; basic SQL knowledge and Excel proficiency preferred.
- Other info: In-person onboarding in London; inclusive workplace promoting mental health and wellbeing.
The predicted salary is between 30000 - 35000 £ per year.
Job Title: Graduate Data AnalystLocation: Remote (United Kingdom)Salary: £30,000 – £35,000 per annumOverview 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 analysisContributing to the development and maintenance of data pipelines and workflowsCreating and updating visual dashboards using Power BIWriting and optimizing SQL queries for data extraction and analysisPresenting findings and insights in an accessible manner for both technical and non-technical audiencesDocumenting data processes, methodologies, and best practicesParticipating in team meetings and collaborative problem-solving sessionsContinuously enhancing technical skills through real-time project exposure and mentorshipCandidate 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 fieldProficiency in Microsoft Excel for data manipulation and organizationBasic understanding of SQL, or a strong interest in developing SQL skillsFamiliarity with data visualization tools such as Power BI or Tableau (preferred, not required)Excellent attention to detail and a problem-solving mindsetStrong communication skills, with the ability to convey insights clearlyA positive, proactive attitude and a willingness to learn and grow within the roleWhat 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 – £35,00038-hour work weekRemote working arrangement, with optional hybrid access for London-based candidatesPerformance-based bonusesReimbursement of professional membership fees28 days of paid annual leave, in addition to UK public holidaysEnhanced pension schemePaid leave entitlements for UK Armed Forces ReservistsAccess to a 24/7 Employee Assistance Programme, including GP access, mental health support, and wellness servicesHiring 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 roleHR Interview – A comprehensive review of your background, motivations, and fit within the client’s team cultureTechnical Assessment – A practical evaluation of your analytical and data handling capabilitiesCandidates 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 cultureMental health awareness and employee wellbeingEqual access to development and advancement opportunitiesImportant 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.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, especially Power BI and SQL. Consider taking online courses or tutorials to boost your skills, as this will show your commitment to learning and make you stand out during the interview process.
✨Tip Number 2
Prepare for the technical assessment by practising data analysis problems and SQL queries. Use platforms like LeetCode or HackerRank to sharpen your skills, as being well-prepared will help you feel more confident during the evaluation.
✨Tip Number 3
During the initial conversation and HR interview, be ready to discuss your passion for data analysis and any relevant projects you've worked on. Sharing specific examples of how you've used data to solve problems can demonstrate your analytical mindset and enthusiasm for the role.
✨Tip Number 4
Research the company and its culture before your interviews. Understanding their values and recent projects can help you tailor your responses and ask insightful questions, showing that you're genuinely interested in becoming part of their team.
We think you need these skills to ace Graduate Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the responsibilities of a Graduate Data Analyst. Emphasise your degree, any projects involving data analysis, and your proficiency in tools like Excel and SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your analytical skills and your eagerness to learn and grow in the field of data analytics.
Highlight Technical Skills: Clearly outline your technical skills in your application. If you have experience with Power BI, SQL, or any data visualisation tools, make sure to mention these prominently, as they are key to the role.
Prepare for Interviews: Anticipate questions related to data analysis and problem-solving. Be ready to discuss your academic projects or any practical experience you have. Also, prepare thoughtful questions to ask about the team and the projects you'll be working on.
How to prepare for a job interview at LinkedIn
✨Brush Up on Your SQL Skills
Since the role requires writing and optimising SQL queries, it's essential to review your SQL knowledge. Practice common queries and understand how to extract and manipulate data effectively. This will not only help you in the technical assessment but also demonstrate your commitment to learning.
✨Familiarise Yourself with Power BI
As you'll be creating and updating visual dashboards using Power BI, take some time to explore this tool. Familiarise yourself with its features and functionalities. Being able to discuss your experience or even showcase a sample dashboard can set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions during the HR interview and the technical assessment. Review key concepts in data analysis, statistics, and data visualisation. Be ready to explain your thought process when solving problems, as this will highlight your analytical skills.
✨Show Enthusiasm and Willingness to Learn
The ideal candidate is someone eager to learn and grow. During the interview, express your enthusiasm for the role and the field of data analytics. Share examples of how you've proactively sought out learning opportunities in the past, whether through coursework, projects, or self-study.