At a Glance
- Tasks: Lead data analysis from raw datasets to actionable insights in a product-focused team.
- Company: Join a fintech leader transforming the industry with innovative digital solutions and a global presence.
- Benefits: Enjoy remote work flexibility, a dynamic team culture, and opportunities for continuous growth.
- Why this job: Make a meaningful impact in fintech by driving data-led product development and business growth.
- Qualifications: Extensive data analytics experience, proficiency in SQL, Python, R, and strong communication skills required.
- Other info: Collaborate with diverse teams and promote a culture of data-driven decision-making.
The predicted salary is between 43200 - 72000 £ per year.
Senior Product Data Analyst
Remote First – Key Meetings Onsite in London
Join a company reshaping an entire industry through innovative digital solutions. With over 20 years of expertise and a vision for continuous growth, this fintech leader is transforming traditional processes into efficient, data-driven strategies that serve a global clientele. With a diverse team spanning 25 countries, they offer the stability of an established business paired with the dynamism of constant innovation. As they continue to scale and develop new products, this role presents an exciting opportunity for an experienced professional to make a meaningful impact.
About the Role
As a Senior Data Analyst , you’ll be pivotal in shaping data-driven decision-making within a dedicated product team. This end-to-end, full-stack data analysis position is deeply product-focused, with responsibilities spanning market segmentation, A/B testing, and building customer engagement strategies. You’ll work with unstructured datasets, getting hands-on experience cleaning and manipulating the data while implementing structure and processes to enhance the team’s analytical capabilities.
You will collaborate with engineers, product managers, and designers to drive strategies through actionable insights. By employing advanced data techniques—cohort studies, funnel analysis, lifetime value metrics—you’ll extract valuable insights to guide product and business decisions.
Key Responsibilities
- End-to-end Data Analysis : Lead the full lifecycle of data analysis, from structuring and cleaning raw datasets to delivering actionable insights.
- Data Infrastructure and Processes : Establish robust data processes, enhance accessibility, and recommend improvements for ongoing efficiency.
- Product-focused insights : Perform advanced market segmentation, A/B testing, and customer behavior analysis to guide product strategies.
- Cross-functional Collaboration : Partner with product, marketing, engineering, and operations teams to align data initiatives with business objectives.
- KPI Monitoring and Reporting : Develop performance dashboards and reports, identifying trends and opportunities for optimization.
- Data Innovation : Promote new analytical tools and methods, fostering a culture of data-driven decision-making.
Qualifications and Skills
- Extensive experience in data analytics, preferably within fintech or a high-growth environment.
- Expertise in SQL, Python, R, Big Query, and a readiness to adapt to new tools and technologies.
- Strong statistical and numerical skills with experience in statistical and financial analysis.
- Proven ability to clean and structure unstructured data, creating efficient and accurate data processes.
- Familiarity with regulatory standards in financial or similar sectors to ensure compliance.
- Excellent communication skills, capable of distilling complex data insights into actionable guidance for diverse stakeholders.
- Comfortable in a fast-paced, dynamic environment, with the ability to pivot strategies as necessary.
Why Join?
This role offers a unique opportunity to be part of a company at the forefront of fintech innovation, driving data-led product development and business growth. If you’re passionate about turning complex data into impactful strategies and eager to thrive in an environment that values both structure and creativity, we encourage you to apply.
Senior Product Data Analyst employer: Consortia
Contact Detail:
Consortia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Data Analyst
✨Tip Number 1
Familiarize yourself with the fintech industry and its current trends. Understanding the specific challenges and opportunities in this sector will help you demonstrate your knowledge during interviews and show how you can contribute to the company's innovative solutions.
✨Tip Number 2
Highlight your experience with unstructured data and your ability to clean and structure it effectively. Be prepared to discuss specific examples of how you've improved data processes in previous roles, as this is a key responsibility for the position.
✨Tip Number 3
Showcase your proficiency in SQL, Python, and R by discussing projects where you've utilized these tools. If possible, prepare to share insights or outcomes from your analyses that had a significant impact on product strategies or business decisions.
✨Tip Number 4
Emphasize your collaboration skills by providing examples of successful cross-functional projects. Highlight how you’ve worked with product managers, engineers, and designers to drive data initiatives that align with business objectives, as teamwork is crucial in this role.
We think you need these skills to ace Senior Product Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Senior Product Data Analyst position. Tailor your application to highlight relevant experiences that align with the job description.
Highlight Technical Skills: Emphasize your expertise in SQL, Python, R, and Big Query in your CV and cover letter. Provide specific examples of how you've used these tools in previous roles to drive data-driven decision-making.
Showcase Collaboration Experience: Since this role involves cross-functional collaboration, include examples in your application that demonstrate your ability to work effectively with product managers, engineers, and designers to achieve common goals.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your passion for fintech and data analytics. Discuss how you can contribute to the company's mission of reshaping the industry through innovative digital solutions.
How to prepare for a job interview at Consortia
✨Showcase Your Data Skills
Be prepared to discuss your experience with SQL, Python, and R in detail. Highlight specific projects where you cleaned and structured unstructured data, as this is crucial for the role.
✨Demonstrate Cross-Functional Collaboration
Share examples of how you've worked with product managers, engineers, and designers in the past. Emphasize your ability to align data initiatives with business objectives and drive actionable insights.
✨Prepare for Technical Questions
Expect questions on advanced data techniques like A/B testing, cohort studies, and funnel analysis. Be ready to explain how you've applied these methods to derive insights that influenced product strategies.
✨Communicate Complex Insights Clearly
Practice distilling complex data findings into simple, actionable recommendations. This will demonstrate your excellent communication skills and your ability to guide diverse stakeholders effectively.