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For Companies At a Glance
- Tasks: Analyze product data and create insightful dashboards to support decision-making.
- Company: Join a leading FinTech company revolutionizing the financial services industry.
- Benefits: Enjoy a hybrid work model with 3 days in the vibrant Central London office.
- Why this job: Be part of a dynamic team, collaborate with Product Managers, and make a real impact.
- Qualifications: Proficiency in SQL, BI tools (Looker), and experience in building models and dashboards required.
- Other info: Previous financial experience is a plus; salary up to £60,000.
The predicted salary is between 36000 - 60000 £ per year.
Data Analyst – Up to £60,000 – Financial Services
Hybrid, 3 days in Central London Office
An industry leading FinTech company are looking for a Data Analyst to join one of their data/product teams. Highly proficient with SQL & BI (ideally Looker), Redshift is essential
You will be working closely with the Product Managers and the Data team
Should have previous experience building models and dashboards
Previous Financial experience is very useful
SQL
BI (Looker)
Python
Data Analyst – Up to £60,000 – Financial Services
Data Analyst (Product Data Analyst) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Product Data Analyst)
✨Tip Number 1
Make sure to brush up on your SQL skills, as proficiency in SQL is essential for this role. Consider working on personal projects or contributing to open-source projects that involve SQL to showcase your expertise.
✨Tip Number 2
Familiarize yourself with Looker and Redshift, as these tools are specifically mentioned in the job description. You can find online tutorials or courses that will help you gain hands-on experience with these platforms.
✨Tip Number 3
Highlight any previous experience you have in building models and dashboards. Be prepared to discuss specific examples during the interview to demonstrate your ability to translate data into actionable insights.
✨Tip Number 4
Since previous financial experience is beneficial, consider brushing up on financial concepts and terminology. This knowledge will not only help you in the interview but also in understanding the context of the data you'll be working with.
We think you need these skills to ace Data Analyst (Product Data Analyst)
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your proficiency in SQL, BI tools (especially Looker), and any experience with Redshift. Tailor your CV to showcase these skills prominently.
Showcase Experience: Detail your previous experience in building models and dashboards. Provide specific examples of projects you've worked on that demonstrate your analytical capabilities and how they relate to the financial services sector.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in this role and how your background aligns with the company's needs. Mention your experience working closely with product managers and data teams.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or typos. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your SQL Skills
Since proficiency in SQL is essential for this role, be prepared to discuss your experience with SQL in detail. Consider bringing examples of complex queries you've written or optimizations you've made to existing queries.
✨Familiarize Yourself with BI Tools
The company ideally uses Looker, so if you have experience with it, make sure to highlight that. If not, brush up on BI concepts and be ready to discuss how you would approach learning a new tool quickly.
✨Discuss Your Experience with Data Models
Be ready to talk about any data models you've built in the past. Explain the purpose of these models, the challenges you faced, and how they contributed to decision-making processes.
✨Understand the Financial Services Landscape
Having previous financial experience is a plus. Make sure to research the financial services industry and be prepared to discuss how your analytical skills can add value in this sector.
