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For Companies At a Glance
- Tasks: Analyse and process data to provide insights that drive business decisions.
- Company: Join a fast-growing insurance company with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Kickstart your career in data analysis and make a real impact in the insurance industry.
- Qualifications: Strong maths or science degree; passion for data and problem-solving.
- Other info: Collaborative team environment with excellent learning opportunities.
The predicted salary is between 30000 - 42000 £ per year.
Overview
Markerstudy Group are looking for a Business Data Analyst to join a fast-growing team and business. It’s the perfect opportunity for someone that is both commercially focussed and technically minded and looking to kick start their career in insurance.
Our Data Science Team provides value in showcasing the business how to monetise data. We are a team of Data Science analytical professionals working with every corner of our commercial business. This role sits in the Data Science team. The Data Science team provides insights, data products and consultative services to internal / external stakeholders from partnerships, insurers, customer insight, digital, marketing and call centre teams.
As Business Data Analyst, you will use your analytical skills to:
- Load, process, analyze, evaluate and document (large) data sets
- Preparing data sets for modelling
- Contribute to designing (with support) data frame structures for efficient data manipulation and information retrieval
- Assist in developing tools for data processing, information retrieval and insight
- Maintain data products using machine learning and statistical techniques
- Contributes to project & concept presentations (creation and presenting)
- Working with other Data Scientists & Managers to interpret analysis results.
Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market.
As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. You will aspire to become an experienced, ‘commercially focused’ data analyst/scientist.
Key Skills and Experience
- Strong maths / related science degree or demonstratable commercial experience
- Passionate and curious about data. Loves solving problems
- Strong communication skills and the ability to “story-tell” to our stakeholders and customers, making it relevant to your audience
- Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals!
- Resilience, can work independently to deliver projects
- Proactively share insights, results and identify risks, without prompting
- Proficient at communicating results in a concise manner both verbally and written
Desirable
- Insurance or financial services experience
- Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace
Behaviours
- Team player
- Self-motivated with a drive to learn and develop
- Logical thinker with a professional and positive attitude
- Passion to innovate and improve processes
- Value differences and people from all walks of life, both colleagues and customers
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Business Data Analyst employer: Markerstudy Group
Contact Detail:
Markerstudy Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Business Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend doing mock interviews with friends or mentors to build confidence and refine your storytelling skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your relevant skills and experiences that align with what we're looking for in a Business Data Analyst. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're passionate about data and how you can contribute to our success. Share your story, showcase your problem-solving skills, and let your personality shine through!
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects your ability to convey complex ideas simply. Use clear language and structure your thoughts logically – we want to see how you can 'story-tell' with data!
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 shows us you’re keen on joining our team at Markerstudy!
How to prepare for a job interview at Markerstudy Group
✨Know Your Data
Before the interview, brush up on your data analysis skills and be ready to discuss specific tools and techniques you’ve used. Familiarise yourself with common data sets and how they can be applied in the insurance industry. This will show your passion for data and your ability to solve problems.
✨Storytelling with Data
Practice how to present your findings in a way that tells a story. Think about how you can make complex data relatable to different stakeholders. Use examples from your past experiences where you successfully communicated insights and made an impact.
✨Team Player Mindset
Emphasise your ability to work collaboratively. Prepare examples of how you’ve contributed to team projects or shared insights with colleagues. Highlighting your selfless attitude towards sharing knowledge will resonate well with the company’s values.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. Inquire about the tools they use, the types of data projects you might work on, and how the Data Science Team collaborates with other departments. This shows your genuine interest and eagerness to contribute.
