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For Companies At a Glance
- Tasks: Lead data analysis and provide insights to the pricing team using SQL and data visualisation.
- Company: Join a dynamic multi-line insurer making waves in the industry.
- Benefits: Enjoy a competitive salary of £45,000-£50,000 plus bonuses and hybrid work options.
- Why this job: Be at the forefront of data analytics in a supportive and innovative environment.
- Qualifications: Strong SQL skills and experience in data visualisation and ETL processes required.
- Other info: Work just one day a week in the office for a great work-life balance.
The predicted salary is between 39000 - 52000 £ per year.
Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply. Good luck.
Location: West Midlands (Hybrid, 1x Day a Week in Office)
Salary: £45,000-£50,000 + Bonus
THE COMPANY
A multi-line insurer is seeking a Lead Analyst to sit within their Pricing team and lead on all things data & analytics!
THE ROLE
As the Lead Analyst, you will use your hands-on SQL, data Viz & ETL experience to provide end-to-end insight back to the pricing team.
YOUR SKILLS AND EXPERIENCE
- Strong SQL
- Strong Data Viz / BI experience – Power BI preferable but not essential
- ETL experience
THE BENEFITS
£45,000-£50,000 (dependent on experience)
HOW TO APPLY
Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.
Lead Data Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially SQL and Power BI. Consider creating a small project or case study that showcases your skills in these areas, as this can be a great conversation starter during interviews.
✨Tip Number 2
Network with professionals in the insurance and data analytics sectors. Attend relevant meetups or webinars to connect with others in the field, which could lead to valuable insights or even referrals for the position.
✨Tip Number 3
Prepare to discuss your previous experiences with ETL processes. Be ready to explain how you've handled data extraction, transformation, and loading in past roles, as this will demonstrate your hands-on experience to the hiring team.
✨Tip Number 4
Research the company and its pricing strategies. Understanding their business model and how data analytics plays a role in their decision-making will help you tailor your discussions and show your genuine interest in the role.
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL, data visualisation, and ETL experience. Use specific examples that demonstrate your skills relevant to the Lead Data Analyst role.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are interested in the position and how your background aligns with the company's needs. Mention your experience with data analytics and any relevant tools you've used.
Highlight Relevant Projects: If you have worked on projects that involved data analysis or pricing strategies, be sure to include these in your application. Detail your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data analyst.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Be prepared to discuss your SQL experience in detail. You might be asked to solve a problem on the spot, so brush up on your SQL queries and be ready to demonstrate your thought process.
✨Demonstrate Data Visualisation Expertise
Since strong data visualisation skills are crucial for this role, bring examples of your previous work with Power BI or other tools. Be ready to explain how your visualisations have impacted decision-making.
✨Understand ETL Processes
Familiarise yourself with ETL (Extract, Transform, Load) processes as they relate to the role. Be prepared to discuss your experience with data integration and how you ensure data quality throughout the process.
✨Prepare Questions for the Interviewer
Think of insightful questions to ask about the company’s data strategy and the pricing team’s goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
