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- Tasks: Analyse data to maximise its value and support business needs.
- Company: Join Datatech Analytics, a leading recruitment agency in analytics.
- Benefits: Enjoy hybrid working, supportive team culture, and referral bonuses.
- Why this job: Perfect for curious minds eager to learn and make an impact.
- Qualifications: 2-3 years of data analysis experience with SQL and Python skills required.
- Other info: Opportunity to work in the motor insurance and automotive industry.
The predicted salary is between 28800 - 42000 £ per year.
This range is provided by Datatech Analytics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Datatech Analytics
Data Analyst: Motor Insurance or Automotive Industry
Location: West Berkshire – Hybrid working 2 days in the office
Job Reference: J12990
Note: Full and current UK working rights required for this role
Are you naturally curious and eager to learn, with a drive for self-development? Great opportunity to join a supportive, collaborative team where your inquisitive nature is valued and encouraged.
We’re working with a valued and respected client who is looking to grow their analytical team with two additional bright and enthusiastic Data Analysts.
Acting as the bridge between business and technical teams, you’ll focus on maximising the value of our data assets. You’ll analyse data to understand how it’s used and the value it brings to the organisation, while working closely with stakeholders to capture their requirements and map their processes. Collaborating with both stakeholders and the wider Enterprise Data team, you’ll help design and deliver high-quality data solutions that support the needs of both internal and external customers.
About the Role
Key Responsibilities
- Technical analysis of data sets to understand structure, quality and use of data in order to inform delivery of products
- Translating business requirements into repeatable insight for the wider business and external customers
- Plan, develop and update the complex modelling and analysis activities to produce research outputs and findings for delivery to member insurers and stakeholders.
- Liaising with wider Enterprise data team to deliver data products by providing business requirements and technical understanding of data sets
- Liaison with other departments to build relationships and transfer knowledge in order to provide research and evidence to support development of other departments’ research and processes.
Skills
What We’re Looking For
- c2 – 3+ years within a proven commercial Data Analysis role ideally supported by a relevant STEM degree
- Data Analysis skills including good SQL knowledge
- Experience with related/complementary software such as Power BI and Python
- Understanding of ETL process and data warehousing concepts
- Be confident to handle and model large amounts of data, create solutions and solve problems to answer key business questions.
- Ability to elicit requirements from business stakeholders and translate them into actionable data solutions
- Strong communication skills and attention to detail with good presentation skills
- Understanding of or an interest in the motor insurance and automotive industry would be an advantage.
If this sounds like the role for you then please apply today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk
Seniority level
-
Seniority level
Associate
Employment type
-
Employment type
Full-time
Job function
-
Job function
Analyst
-
Industries
Automation Machinery Manufacturing
Referrals increase your chances of interviewing at Datatech Analytics by 2x
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Data Analyst - SQL & Python employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - SQL & Python
✨Tip Number 1
Familiarise yourself with the motor insurance and automotive industry. Understanding the specific challenges and trends in this sector will help you engage more effectively with stakeholders and demonstrate your value during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills, focusing on practical applications relevant to data analysis. Consider working on personal projects or contributing to open-source initiatives that showcase your ability to handle and model large datasets.
✨Tip Number 3
Network with professionals in the analytics field, especially those who work in the motor insurance or automotive sectors. Attend industry events or webinars to build connections and gain insights that could give you an edge in interviews.
✨Tip Number 4
Prepare to discuss how you've translated business requirements into actionable data solutions in past roles. Be ready to share specific examples that highlight your analytical skills and your ability to communicate complex information clearly.
We think you need these skills to ace Data Analyst - SQL & Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data analysis. Use specific examples from your previous roles that demonstrate your ability to handle large datasets and translate business requirements into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your curiosity and eagerness to learn, as these traits are valued by the company. Mention your understanding of the motor insurance and automotive industry, and how your skills can contribute to their analytical team.
Showcase Relevant Projects: If you have worked on any relevant projects, either in your previous jobs or during your studies, be sure to include them. Highlight your role in these projects, the tools you used (like Power BI), and the outcomes achieved.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your SQL and Python Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of projects where you've used these skills to analyse data, and be ready to explain your thought process and the outcomes.
✨Understand the Motor Insurance Industry
Familiarise yourself with the motor insurance and automotive industry. Research current trends and challenges, as this knowledge will help you relate your skills to the specific needs of the company.
✨Prepare for Technical Questions
Expect technical questions related to data analysis, ETL processes, and data warehousing concepts. Brush up on these topics and be ready to demonstrate your understanding through practical examples.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, and be prepared to discuss how you would elicit requirements from stakeholders effectively.
