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For Companies At a Glance
- Tasks: Lead end-to-end data analysis and deliver actionable insights for product strategies.
- Company: Join a fintech leader transforming the industry with innovative digital solutions.
- Benefits: Enjoy remote work flexibility and be part of a diverse, global team.
- Why this job: Make a meaningful impact in a dynamic environment focused on data-driven decision-making.
- Qualifications: Extensive data analytics experience, proficiency in SQL, Python, and strong communication skills required.
- Other info: Collaborate with cross-functional teams to drive innovation and optimize performance.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Senior 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.
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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 landscape and current trends. Understanding the industry will help you speak confidently about how your skills can contribute to the company's innovative solutions.
✨Tip Number 2
Highlight your experience with unstructured data in your conversations. Be ready to discuss specific examples of how you've cleaned and structured data to drive insights, as this is a key responsibility of the role.
✨Tip Number 3
Prepare to showcase your collaboration skills. Think of instances where you've worked cross-functionally with product managers, engineers, or designers to achieve a common goal, as this will be crucial in this position.
✨Tip Number 4
Stay updated on the latest analytical tools and methods. Being able to discuss new techniques or tools you've used will demonstrate your commitment to data innovation and continuous improvement.
We think you need these skills to ace Senior Product Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data analytics, especially within fintech or high-growth environments. Emphasize your expertise in SQL, Python, R, and any relevant tools that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how your skills can contribute to the company's innovative approach. Mention specific experiences where you've successfully led data analysis projects or collaborated cross-functionally.
Showcase Relevant Projects: Include examples of past projects that demonstrate your ability to clean and structure unstructured data, perform market segmentation, and conduct A/B testing. Highlight any tools or methodologies you used to achieve successful outcomes.
Prepare for Interviews: Be ready to discuss your analytical techniques and how you've applied them in previous roles. Prepare to explain complex data insights in a way that is understandable to diverse stakeholders, showcasing your excellent communication skills.
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 cohort studies and A/B testing. 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 engage diverse stakeholders effectively.
