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- Tasks: Support audit analytics by designing tools and collaborating with teams.
- Company: Global professional services firm dedicated to innovation and quality.
- Benefits: Hybrid working model, learning opportunities, and a focus on your development.
- Why this job: Join a dynamic team and make an impact in data analytics.
- Qualifications: Degree in business analytics or related field; skills in R, Python, and SQL preferred.
- Other info: Exciting career growth in a supportive environment.
The predicted salary is between 28800 - 48000 £ per year.
A global professional services firm is seeking a Graduate Data Analyst to support audit analytics across teams. You will design tools, collaborate with key stakeholders, and uphold quality standards.
This role requires a degree in business analytics or a related field, with skills in R, Python, and SQL preferred.
The firm offers a hybrid working model and a commitment to your learning and development.
Graduate Data Analytics Auditor in Manchester employer: Forvis Mazars
Contact Detail:
Forvis Mazars Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analytics Auditor in Manchester
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the data analytics field. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in R, Python, and SQL. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data analytics questions. We recommend using mock interviews with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re committed to supporting your learning and development every step of the way.
We think you need these skills to ace Graduate Data Analytics Auditor in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in R, Python, and SQL. We want to see how your degree in business analytics or related fields has prepared you for this role, so don’t hold back on showcasing relevant projects or experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Graduate Data Analyst position and how you can contribute to our audit analytics teams. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Collaboration Skills: Since this role involves working with key stakeholders, make sure to mention any teamwork experiences you've had. We’re looking for candidates who can communicate effectively and work well with others, so share examples of successful collaborations!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Forvis Mazars
✨Know Your Tech
Make sure you're comfortable with R, Python, and SQL. Brush up on your coding skills and be ready to discuss how you've used these tools in your projects or studies. Being able to demonstrate your technical knowledge will impress the interviewers.
✨Understand the Role
Familiarise yourself with what a Graduate Data Analyst does, especially in the context of audit analytics. Research the firm’s approach to data analysis and think about how you can contribute to their teams. This shows that you're genuinely interested in the position.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. Ask about the tools they use, the team dynamics, or opportunities for learning and development. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Showcase Your Projects
Be prepared to talk about any relevant projects or coursework you've completed. Highlight specific examples where you've designed tools or collaborated with others. This will help illustrate your practical experience and problem-solving skills, which are crucial for the role.
