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For Companies At a Glance
- Tasks: Lead data projects and manage a team to enhance decision-making processes.
- Company: Join a top fintech company recognized for its innovative embedded financing platform.
- Benefits: Enjoy a competitive salary, bonus scheme, private health insurance, and more perks.
- Why this job: Be part of a supportive culture in a vibrant London setting while driving data innovation.
- Qualifications: Proficiency in SQL, dbt, and experience with cloud data warehouses required.
- Other info: Ideal for data enthusiasts with leadership experience looking to make an impact.
The predicted salary is between 120000 - 145000 £ per year.
- Recognized as one of the “Best Places to Work 2024”
- Listed as a “Top 250 Fintech Worldwide” company.
About Our Client
The company is a leading global embedded financing platform, trusted by many of the world’s top e-commerce sites, tech companies, and payment service providers. Our advanced software platform and APIs empower our partners to offer flexible financing products under their own branding, reaching a broad merchant base. Leveraging AI-driven credit risk assessment solutions, we ensure that more merchants and SMEs than ever can access fast, flexible, and affordable funding. Operating across 9+ geographies in the UK, EU, and the US, we are at the forefront of the financial services revolution.
Job Description
We are seeking a dynamic Senior Manager Data to enhance our decision-making processes by structuring, curating, and presenting all our data on a unified company-wide platform. The Senior Manager Data will take full ownership of our data models within the data warehouse and lead projects to improve the quality and efficiency of our data products. This role involves managing a team of three Analytics Engineers and contributing to the overall vision for Data & Analytics.
Key Responsibilities:
- Take ownership of the entire suite of data models within the Data Warehouse.
- Lead projects to improve the quality and efficiency of data products.
- Manage and mentor a team of three Analytics Engineers.
- Contribute to the strategic vision for Data & Analytics.
The Successful Applicant
- Proficiency in SQL and dbt (data build tool) for data transformation and management.
- Experience with cloud-based data warehouses, preferably Snowflake.
- Familiarity with data visualization platforms such as Tableau, Looker, and Metabase.
- Strong problem-solving abilities and innovative solution development.
- Experience in project management to ensure timely and successful data initiatives.
- Leadership experience, with at least two years managing and mentoring teams.
What’s on Offer
- An attractive salary package ranging between £120,000 – £145,000 per annum
- Bonus scheme
- Private health insurance
- Additional benefits package
- An inclusive and supportive company culture
- Opportunity to work in the vibrant city of London
If you are a data enthusiast with leadership prowess, this is an exceptional opportunity to join an innovative company in the technology and telecoms industry. We look forward to receiving your application.
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Senior Data Manager employer: Page Executive
Contact Detail:
Page Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Manager
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, like SQL and dbt. Consider taking online courses or tutorials to sharpen your skills, as demonstrating proficiency in these areas will set you apart.
✨Tip Number 2
Showcase your leadership experience by preparing examples of how you've successfully managed teams in the past. Be ready to discuss your mentoring style and how you've contributed to team development during the interview.
✨Tip Number 3
Research the company’s current data initiatives and projects. Understanding their strategic vision for Data & Analytics will allow you to align your answers with their goals and demonstrate your genuine interest in the role.
✨Tip Number 4
Prepare to discuss your problem-solving abilities with concrete examples. Think of specific challenges you've faced in data management and how you approached them, as this will highlight your innovative solution development skills.
We think you need these skills to ace Senior Data Manager
Some tips for your application 🫡
Understand the Company: Research the company’s role in the fintech industry and its innovative approach to embedded financing. Familiarize yourself with their products and services, as well as their company culture, to tailor your application effectively.
Highlight Relevant Skills: Emphasize your proficiency in SQL, dbt, and experience with cloud-based data warehouses like Snowflake. Make sure to showcase your leadership experience and project management skills, as these are crucial for the Senior Data Manager role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for data and analytics. Mention specific projects where you improved data quality or efficiency, and how you can contribute to the company's strategic vision.
Review and Submit: Before submitting your application, double-check all documents for accuracy and completeness. Ensure your CV is updated and tailored to the job description, and that your cover letter aligns with the company’s values and goals.
How to prepare for a job interview at Page Executive
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and dbt. Bring examples of how you've used these tools in past projects, especially in data transformation and management.
✨Demonstrate Leadership Experience
Highlight your experience managing and mentoring teams. Share specific instances where you led a project or improved team performance, as this role requires strong leadership skills.
✨Discuss Data Quality Initiatives
Prepare to talk about your approach to improving data quality and efficiency. Discuss any relevant projects you've led that focused on enhancing data products and the outcomes achieved.
✨Familiarize Yourself with the Company’s Vision
Research the company's strategic vision for Data & Analytics. Be ready to share your thoughts on how you can contribute to this vision and align your experience with their goals.
