At a Glance
- Tasks: Analyse data to uncover customer insights and drive business performance.
- Company: Dynamic business seeking analytical graduates to shape their strategy.
- Benefits: Competitive salary, learning opportunities, and hybrid working in central Birmingham.
- Other info: Exciting career growth and exposure to leading analytical methodologies.
- Why this job: Join a fast-paced team and make a real impact with your analytical skills.
- Qualifications: Degree in Mathematics, Statistics, or related field; experience with data analysis tools is a plus.
The predicted salary is between 28800 - 48000 £ per year.
This post represents an exciting opportunity to contribute to the development of analytical strategy and modelling capability within a highly commercial business function. The business is looking for exceptional level analytical graduates, who have excelled academically within Mathematical Sciences, Statistics, Operational Research or Economics (or equivalent). Any commercial experience through a placement year or post university in a data/analytical driven post will be highly advantageous.
Responsibilities:
- Utilise data analysis and data mining techniques to help the business understand customer behaviour, revenue performance and identify commercial opportunity.
- Specifying, implementing and maintaining databases in support of the statistical model development and monitoring.
- Performing detailed and well documented analysis to support the development of the models.
- Apply Mathematical Modelling and Statistical analysis to segment customer groups accordingly.
- Contribute to highly analytical scenario modelling to drive gross margin performance.
- Support the business analytically on monthly performance reporting.
- Communicate complex MI to a non-statistical audience, present conclusions from analysis to enhance decision making with stakeholders.
Requirements:
- Degree qualification in Mathematics or Statistics (2;1 or above from a leading University).
- Further MSc in related discipline advantageous.
- Exceptional attention to detail with analytical mind-set.
- Knowledge and understanding of general statistical modelling.
- Team player, evidence of working in a fast-paced team environment whilst also demonstrating high levels of initiative.
- Sound knowledge of MS Excel, demonstrating the ability to manage, manipulate, interrogate and report on complex data.
- Further knowledge/experience of data analysis tools and technologies (i.e. VBA, SPSS, SAS, R, Python) - beneficial.
In Return:
- Competitive starting salary with exceptional learning opportunities.
- Exposure to leading analytical tools, techniques and methodologies.
- Central Birmingham location (2 days per week) - hybrid working.
Apply now for further job/interview details.
Graduate Data Analyst - (Mathematics l Economics l Statistics) in Birmingham employer: MSA Data Analytics Ltd
Join a dynamic and innovative team as a Graduate Data Analyst, where you'll have the opportunity to leverage your analytical skills in a highly commercial environment. With a competitive starting salary, exceptional learning opportunities, and exposure to leading analytical tools, our central Birmingham location offers a vibrant work culture that fosters collaboration and professional growth. We are committed to nurturing talent and providing a supportive atmosphere for you to thrive in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst - (Mathematics l Economics l Statistics) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connections in the industry. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and statistical modelling. We recommend using real-world examples from your studies or any projects you've worked on to showcase your skills.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest in the role. It keeps you fresh in their minds.
✨Tip Number 4
Apply through our website for the best chance at landing that Graduate Data Analyst role. We’re always on the lookout for analytical minds like yours, so don’t miss out!
We think you need these skills to ace Graduate Data Analyst - (Mathematics l Economics l Statistics) in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Graduate Data Analyst role. Highlight your academic achievements in Mathematics, Statistics, or Economics, and any relevant projects or placements you've done.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background makes you a perfect fit for our team. Don’t forget to mention any specific tools or techniques you’re familiar with.
Showcase Your Analytical Skills:In your application, be sure to include examples of how you've used data analysis in the past. Whether it's a project from university or a placement experience, we want to see how you’ve applied your analytical mind-set to real-world problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at MSA Data Analytics Ltd
✨Know Your Numbers
Brush up on your mathematical and statistical concepts before the interview. Be ready to discuss how you've applied these in real-world scenarios, especially if you have any commercial experience. This will show that you can translate theory into practice.
✨Showcase Your Tools
Familiarise yourself with the data analysis tools mentioned in the job description, like Excel, R, or Python. If you've used them in projects or coursework, be prepared to share specific examples of how you utilised these tools to solve problems or analyse data.
✨Communicate Clearly
Practice explaining complex analytical concepts in simple terms. You might need to present your findings to non-statistical stakeholders, so demonstrating your ability to communicate effectively is key. Think of examples where you've done this successfully.
✨Prepare Questions
Have a few insightful questions ready about the company's analytical strategy or the team you'll be working with. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it makes for a more engaging conversation!
