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 leading financial services organisation that prioritises employee development and fosters a collaborative work culture. As a Finance Analyst in this role, you will benefit from comprehensive training opportunities, a supportive team environment, and the chance to engage with various stakeholders, all while contributing to meaningful regulatory reporting initiatives. Located in a vibrant area, the company also offers competitive benefits and a commitment to work-life balance, making it an excellent choice for those seeking a rewarding career in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst - (Mathematics l Economics l Statistics) in Birmingham
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like MSA Data Analytics Ltd when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like MSA Data Analytics Ltd.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like MSA Data Analytics Ltd.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through MSA Data Analytics Ltd’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Data Analyst - (Mathematics l Economics l Statistics) in Birmingham
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at MSA Data Analytics Ltd, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at MSA Data Analytics Ltd aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at MSA Data Analytics Ltd
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
