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- Tasks: Drive business decisions with advanced analytics and insights while mentoring junior analysts.
- Company: Join a fast-growing fintech revolutionising embedded financing for global e-commerce and tech companies.
- Benefits: Enjoy a competitive salary, performance bonuses, stock options, and a comprehensive benefits package.
- Why this job: Be part of a supportive, diverse culture recognised as a 'Best Place to Work' in a dynamic industry.
- Qualifications: Strong data analysis background with skills in Snowflake, Python, Tableau, and stakeholder communication.
- Other info: Hybrid working model with 3/4 days in Central London office.
The predicted salary is between 60000 - 84000 £ per year.
Drive Impact: Shape business decisions with advanced analytics & insights.
Great Culture: Join a supportive, diverse workplace named a "Best Place to Work."
About Our Client: My client is a rapidly growing fintech company that provides embedded financing solutions for global e-commerce platforms, tech companies, and payment service providers. Their innovative platform offers AI-driven credit risk assessment, enabling merchants and SMEs to access fast and flexible funding. Operating in multiple geographies across the UK, EU, and US, they are shaping the future of financial services with customer-centric, tech-driven solutions.
Job Description:
- Perform advanced analysis using trend analysis, segmentation, and statistical methods to generate insights and solve business problems.
- Build strong relationships with stakeholders to understand business context and drive high-velocity problem solving.
- Communicate findings through dashboards, graphics, verbal explanations, presentations, and technical write-ups.
- Set the standard for high-quality analysis in both technical skills and writing, mentoring junior team members.
- Make analyses repeatable and shareable by utilizing version control, notebooks, and accessible documentation.
The Successful Applicant: The successful candidate will have a strong background in data analysis, with proficiency in tools like Snowflake, dbt, Python, Tableau, and Metabase. They will possess excellent problem-solving skills, the ability to communicate complex insights clearly through various mediums, and a proven track record of working closely with stakeholders to drive business solutions. Strong technical expertise and the ability to mentor junior team members are essential. A preference will be given to candidates with experience in the financial services sector, as it will help them quickly adapt to the business context and challenges in this role.
What's on Offer: Competitive salary up to £115k, performance-based bonus, stock options, comprehensive benefits package, including private medical insurance, subsidised lunch, gym access, and more. Hybrid working with 3/4 days a week in the Central London office.
Contact Detail:
Michael Page (UK) 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, such as Snowflake, dbt, Python, Tableau, and Metabase. Consider taking online courses or working on personal projects that showcase your skills in these areas, as practical experience will set you apart.
✨Tip Number 2
Network with professionals in the fintech industry, especially those who work in data analysis roles. Attend relevant meetups or webinars to gain insights into the sector and potentially connect with current employees at the company, which could give you an edge in your application.
✨Tip Number 3
Prepare to discuss your previous experiences in stakeholder engagement. Think of specific examples where you successfully communicated complex data insights to non-technical audiences, as this is a key aspect of the role and will demonstrate your ability to drive business solutions.
✨Tip Number 4
Showcase your mentoring abilities by preparing examples of how you've supported junior team members in the past. Highlighting your leadership skills will resonate well with the company's emphasis on setting high standards and fostering a collaborative environment.
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with tools like Snowflake, dbt, Python, Tableau, and Metabase. Emphasise any previous roles where you communicated complex insights or mentored junior team members.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the fintech industry and how your skills align with the company's mission. Mention specific examples of how you've driven business decisions through advanced analytics in past roles.
Showcase Your Communication Skills: Since the role requires clear communication of findings, consider including a portfolio of dashboards, presentations, or technical write-ups that demonstrate your ability to convey complex information effectively.
Highlight Stakeholder Engagement: Discuss your experience in building relationships with stakeholders. Provide examples of how you've collaborated with others to solve business problems and drive high-velocity solutions, as this is crucial for the role.
How to prepare for a job interview at Michael Page (UK)
✨Showcase Your Analytical Skills
Prepare to discuss your experience with advanced analytics techniques. Be ready to provide specific examples of how you've used tools like Python, Tableau, or Snowflake to solve business problems and generate insights.
✨Understand the Business Context
Research the fintech industry and the specific challenges faced by your potential employer. Demonstrating an understanding of their business model and how data analysis can drive decisions will set you apart.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. Use visuals or examples from your past work to illustrate your points, as effective communication is key in this role.
✨Emphasise Mentorship Experience
If you have experience mentoring junior analysts, be sure to highlight it. Discuss how you've helped others improve their skills and how you plan to contribute to the team's growth.
