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For Companies At a Glance
- Tasks: Transform complex data into insights, create visualisations, and drive business decisions.
- Company: Grayce partners with top organisations to deliver impactful results through high-performing talent.
- Benefits: Enjoy a competitive salary, industry-recognised qualifications, and 24/7 wellness support.
- Why this job: Join a community that values collaboration, continuous learning, and making a real impact.
- Qualifications: 2:1 degree in a STEM field; experience with data tools like Excel, R, SQL, or Python.
- Other info: Gain hands-on experience with prestigious clients and receive mentorship from industry experts.
The predicted salary is between 20000 - 30000 £ per year.
Are you a curious, adaptable, and proactive problem solver with excellent communication skills and a drive to make an impact?
At Grayce, we’re looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you’ll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together.
Understanding the types of roles available to a Data Analyst:
Data Analyst
Kick-start your career as a Data Analyst, where you’ll transform complex data into actionable insights, create progressive visualisations and drive business decisions. You’ll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment.
Data Engineer
Launch your career as a Data Engineer, where you’ll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You’ll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights.
Data Scientist
Working as a Data Scientist, you\’ll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You\’ll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems.
Why Grayce?
We specialise in driving change and transformation for some of the world’s most ambitious organisations and for over a decade, we\’ve partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond.
Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of adaptable roles.
Opportunity: You\’ll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations.
Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving.
Mentoring: Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They’ll be your go-to, offering support, insights and sharing experiences.
Progression: Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme.
What makes a great Grayce Analyst?
- 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage.
- Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you.
- Analytical Problem Solving: We\’re looking for analytical minds that can spot patterns and think creatively. Whether it\’s dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application.
- Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process.
Why work for us?
- Competitive Salary: Starting at £25,000 with potential for significant growth
- Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career
- Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce
- Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing.
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Graduate Data Analyst - Sheffield employer: TargetJobs UK
Contact Detail:
TargetJobs UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst - Sheffield
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Excel, R, SQL, and Python. Consider working on personal projects or contributing to open-source projects that utilise these tools to demonstrate your practical experience.
✨Tip Number 2
Showcase your analytical problem-solving skills by preparing examples of how you've tackled complex issues in the past. Think about situations where you identified patterns or trends in data and how you communicated those insights effectively.
✨Tip Number 3
Network with current or former employees of Grayce through platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the interview process.
✨Tip Number 4
Prepare for the interview by practising your communication skills. Since effective communication is crucial for this role, consider conducting mock interviews with friends or mentors to refine your ability to articulate your thoughts clearly and confidently.
We think you need these skills to ace Graduate Data Analyst - Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Graduate Data Analyst role. Emphasise your analytical problem-solving abilities, any experience with data tools like Excel, R, SQL, or Python, and showcase your academic achievements.
Craft a Compelling Cover Letter: Write a cover letter that reflects your curiosity and adaptability. Use specific examples to demonstrate how you've used data to drive decisions or solve problems in the past. Show your enthusiasm for the role and how you can contribute to Grayce's mission.
Highlight Soft Skills: In your application, be sure to mention your soft skills such as effective communication, organisation, and stakeholder management. Provide examples of how you've successfully collaborated with others or managed your time effectively in previous roles or projects.
Showcase Continuous Learning: Mention any relevant courses, certifications, or projects that demonstrate your commitment to continuous learning in data analysis. Highlight any industry-recognised qualifications you have or are pursuing, as this aligns with Grayce's focus on development and growth.
How to prepare for a job interview at TargetJobs UK
✨Show Your Curiosity
Demonstrate your curiosity by asking insightful questions about the role and the company. This shows that you're genuinely interested in the position and eager to learn more about how you can contribute.
✨Highlight Your Analytical Skills
Prepare examples of how you've used data analysis in your studies or previous roles. Be ready to discuss specific tools like Excel, SQL, or Python, and how you've applied them to solve problems or uncover insights.
✨Communicate Effectively
Practice articulating your thoughts clearly and concisely. Effective communication is key in this role, so be prepared to explain complex data concepts in a way that's easy to understand for non-technical stakeholders.
✨Demonstrate Adaptability
Be ready to discuss situations where you've had to adapt to change or overcome challenges. Highlighting your resilience and ability to thrive in fast-paced environments will resonate well with the interviewers.
