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- Tasks: Analyse data to drive marketing strategies and optimise campaigns.
- Company: Join a leading national insurance business based in Liverpool.
- Benefits: Enjoy 35 days holiday, flexi-time, and a 6% pension contribution.
- Why this job: Be part of a dynamic team influencing business growth through data insights.
- Qualifications: Degree in Maths, Economics, or related field preferred; advanced Excel skills required.
- Other info: Opportunity to work with diverse data sets and collaborate with stakeholders.
The predicted salary is between 28800 - 48000 £ per year.
Our client an established national Insurance business based in Liverpool who are looking for a Data Analyst to join their marketing/sales team. They are seeking an ambitious graduate/analyst to show initiative and adaptability to aid business growth.
Responsibilities for the role are as follows:
- You will get to work with data sets drawn from a wide variety of internal and external sources; including operational, customer and environmental data.
- Streamline existing reporting suite and advise on new, amendments and improvements
- Undertake data manipulation which includes deduping, cleaning and merging projects
- Ensure all reports and definitions are documented and distributed where necessary
- Provide customer and campaign analysis reporting to optimise and shape marketing and comms channels strategy
- You will look to spot trends, analyse competitors and show initiative and adaptability
- Using your data analysis skills, you will be identifying insights, correlations and trends. Collaborating with colleagues and engaging with stakeholders to further our objectives. You will influence and inform colleagues and senior leadership on operational decisions.
What are we looking for?
- Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) – not essential if you have relevant experience
- The successful candidate will be required to help drive enhanced business performance to the benefit of our customers through the use of applied statistics and analysis
- You must have advanced Excel capabilities (Pivot Tables/VLOOKUP\’s) but additionally knowledge of the following software is an advantage: SQL, SPSS Modeller, Python, R, Power BI.
- You must be able to demonstrate effective communication and interpersonal skills
Benefits of the role?
- 35 days holiday
- Flexi-time
- Employer pension contribution of 6%
- Various other benefits
If you are interested in this fantastic opportunity based near Lichfield, please apply direct with an updated CV.
Apply for this job
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Marketing Data Analyst employer: Agility Resoucing
Contact Detail:
Agility Resoucing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, SPSS Modeller, Python, R, and Power BI. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Prepare to discuss your previous experiences with data analysis, particularly any projects where you identified trends or insights that influenced business decisions. Be ready to share specific examples that demonstrate your analytical skills and initiative.
✨Tip Number 3
Network with professionals in the marketing and data analysis fields, especially those who work in insurance or similar industries. Engaging with them on platforms like LinkedIn can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Stay updated on the latest trends in marketing analytics and data manipulation techniques. Being knowledgeable about current industry practices will not only help you in interviews but also show your commitment to continuous learning.
We think you need these skills to ace Marketing Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasise your data analysis capabilities, especially in Excel and any other software mentioned like SQL or Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences where you've successfully used data analysis to drive business decisions.
Showcase Your Analytical Skills: In your application, provide examples of how you've identified trends or insights from data in previous roles or projects. This will demonstrate your ability to meet the responsibilities outlined in the job description.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Agility Resoucing
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis in previous roles or projects. Highlight your experience with tools like Excel, SQL, or Python, and be ready to explain how you approached data manipulation tasks.
✨Understand the Business Context
Research the insurance industry and the specific company you're interviewing with. Understand their products, target market, and recent trends. This will help you tailor your answers and demonstrate your interest in contributing to their marketing strategies.
✨Prepare for Technical Questions
Expect questions that test your technical knowledge, especially around data analysis techniques and software. Brush up on advanced Excel functions, as well as any other relevant tools mentioned in the job description, such as SPSS or Power BI.
✨Demonstrate Communication Skills
Since the role involves collaborating with colleagues and engaging with stakeholders, practice explaining complex data insights in a clear and concise manner. Be ready to discuss how you've effectively communicated findings in the past to influence decision-making.
