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- Tasks: Analyse CRM data, support promotional strategies, and deliver insights to various teams.
- Company: Join a global tech-led PLC organisation with a rapidly growing analytical team.
- Benefits: Enjoy 27 days holiday, bank holidays, and opportunities to develop technical skills like SQL and Python.
- Why this job: Make a significant impact in a dynamic environment while developing your analytical career.
- Qualifications: A numeric degree is essential; experience with Excel and knowledge of SQL/Power BI is a plus.
- Other info: Ideal for self-motivated graduates eager to learn and grow in analytics.
The predicted salary is between 28800 - 48000 £ per year.
My client is a tech-led PLC organisation with a global presence who have an exciting opportunity for a graduate to join their analytical team. This is an ideal opportunity for a graduate with a numeric related degree who is looking to develop their career in an analytical field. Ideally, you may have some experience as a Data Analyst either in a placement year or post-university.
This role offers a fantastic opportunity for a self-motivated, highly numerate graduate to make a significant difference within a well-established and rapidly growing organisation. This year alone they have hired 8 staff within the team across various areas of analytics.
Your day to day will consist of:
- Deliver CRM analysis from campaigns and promotion performance through to ad-hoc requests
- Work closely with the CRM Managers and Team Leaders to deliver valuable analysis to drive the promotional roadmaps
- Support the creation of new segmentation on the customer base to drive targeting of promotional offers
- Deliver campaign analysis on all products and lifecycles ideally with an automated solution
- Derive insight from data analysis and communicate this output to a variety of different audiences using most appropriate presentation techniques
- Support to identify specific customer data targeting within product verticals
- Deliver ad hoc analysis requests on KPI performance, trends and opportunities to improve future campaigns
- Seek to utilise all data sources available
- Work closely with the promotional executive to analyse end to end performance of the promotion and optimise for future activity
What we want from you:
- Degree background in a numeric field i.e. Maths, Economics, Physics etc.
- Microsoft Office product suite, particularly Excel i.e. Pivot Tables and V-Lookups
- Working knowledge of one or more of the following is advantageous: SQL/Power BI
- Clear, logical analytical approach to problem-solving
- Ability to investigate data, find trends, forecast performance and provide insightful recommendations
27 days holiday + bank holidays
Opportunity to develop technically i.e. SQL/Python/Power BI/R
If you are interested in this fantastic opportunity based in Manchester, please apply direct with an updated CV.
Graduate Data Analyst (Insight) - Manchester employer: Agility Resoucing
Contact Detail:
Agility Resoucing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst (Insight) - Manchester
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL and Power BI. Consider taking online courses or tutorials to enhance your skills in these areas, as practical knowledge can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who work in CRM analysis. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss your analytical approach during interviews. Think of examples where you've successfully identified trends or provided insights from data, as this will demonstrate your problem-solving abilities and how you can add value to the team.
✨Tip Number 4
Research the company’s recent campaigns and promotional strategies. Being knowledgeable about their current projects will allow you to ask informed questions during the interview and show your genuine interest in contributing to their success.
We think you need these skills to ace Graduate Data Analyst (Insight) - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your numeric degree and any relevant experience as a Data Analyst. Emphasise skills in Microsoft Excel, SQL, and any analytical projects you've worked on.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data analysis and how your background aligns with the role. Mention specific experiences where you derived insights from data and how you communicated these findings.
Highlight Relevant Skills: In your application, clearly outline your proficiency in tools like Excel, SQL, and Power BI. Provide examples of how you've used these tools to solve problems or analyse data in previous roles or projects.
Showcase Problem-Solving Abilities: Demonstrate your analytical thinking by including examples of how you've approached complex problems. Discuss any methodologies you used to investigate data trends and how you made recommendations based on your findings.
How to prepare for a job interview at Agility Resoucing
✨Showcase Your Analytical Skills
Prepare to discuss specific examples from your academic or placement experiences where you successfully analysed data. Highlight how you derived insights and made recommendations based on your findings.
✨Familiarise Yourself with Relevant Tools
Brush up on your knowledge of Excel, SQL, and Power BI. Be ready to discuss how you've used these tools in the past, and consider bringing examples of your work if possible.
✨Understand the Company’s Analytics Needs
Research the company’s recent campaigns and promotional strategies. Be prepared to discuss how your skills can help improve their analytical processes and drive better results.
✨Practice Clear Communication
Since you'll need to present your findings to various audiences, practice explaining complex data insights in a simple and engaging way. Tailor your communication style to different stakeholders.
