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- Tasks: Drive data-informed decisions and create actionable insights for product teams.
- Company: Leading fintech company transforming traditional processes with innovative digital solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a meaningful impact in a dynamic environment while shaping the future of fintech.
- Qualifications: Strong data analytics experience, excellent communication skills, and proficiency in SQL and Python.
- Other info: Join a diverse team across 25 countries and foster a culture of innovation.
The predicted salary is between 36000 - 60000 £ per year.
Join a company that’s reshaping an entire industry through innovative digital solutions. With over 20 years of expertise and a vision for continuous growth, this client leads the way in fintech, transforming traditional processes into efficient, data-driven strategies that benefit their global clientele. With a diverse team spread across 25 countries, this organisation combines the stability of an established business with the drive and creativity of a company in constant evolution. As they continue to develop new products and scale up operations, this role offers an exciting chance for experienced professionals to make a meaningful impact.
The Senior Data Analyst will be essential in enabling data-informed decision-making across a dedicated product team. You’ll work closely with engineers, product managers, and designers to drive business strategies through actionable insights.
In this role, you will leverage advanced data analysis techniques, such as cohort studies, funnel analysis, and lifetime value metrics, to generate meaningful insights from complex datasets that can guide product and business decisions. You will be responsible for developing and maintaining performance dashboards and reports, examining trends and key metrics to highlight opportunities for improvement. Part of your role will involve strengthening the data infrastructure, enhancing accessibility and usability through tools like SQL, Python, BigQuery, and Excel, and recommending improvements for ongoing efficiency.
Your advanced data expertise will play a crucial role in analysing products across financial services such as payroll solutions, multi-currency wallets, and vendor payments. You’ll create customer segmentation models that support targeted engagement strategies, and you’ll serve as the central point of contact for data needs across teams in product, marketing, engineering, and operations. This position also involves monitoring KPIs, developing trends analysis, and facilitating cross-functional data integration to support strategic optimisation.
Additionally, you will communicate insights clearly to stakeholders, making complex data understandable and actionable, and foster a culture of innovation within the team by promoting new analytical tools and methods.
Qualifications and Skills:
- Strong experience in data analytics, ideally in a fintech or high-growth setting.
- Excellent communication skills, with an ability to make complex data insights accessible to various stakeholders.
- Hands-on experience collaborating with teams across product, engineering, marketing, and operations.
- Technical proficiency in SQL, Python, R, and a capacity for learning new data tools and methods.
- High levels of statistical and numerical understanding, with a solid foundation in statistical and financial analysis.
- Proven experience creating reliable data processes and ensuring data accuracy.
- Familiarity with regulatory standards in financial or relevant sectors to ensure data compliance.
- Comfortable working in a fast-paced, adaptable environment with a readiness to adjust strategies as necessary.
This role is an ideal fit for a strategic, data-driven Senior Data Analyst eager to drive customer engagement and business growth. If you’re excited to develop your career in an environment that values customer-centric and data-led solutions, we encourage you to apply!
Senior Product Data Analyst employer: Consortia Group
Contact Detail:
Consortia Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL, Python, or any other relevant tools. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as this is key for the role. Remember, it’s not just about the numbers; it’s about how you convey them!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Product Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Product Data Analyst. Highlight your experience with data analytics, especially in fintech, and showcase any relevant projects that demonstrate your skills in SQL, Python, and data visualisation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven decision-making and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific examples of how you've made an impact in previous roles.
Showcase Your Communication Skills: As a Senior Data Analyst, you'll need to make complex data understandable for various stakeholders. In your application, include examples of how you've successfully communicated insights in the past, whether through presentations, reports, or dashboards.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our innovative team!
How to prepare for a job interview at Consortia Group
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and any other relevant data tools before the interview. Be ready to discuss how you've used these tools in past projects, especially in a fintech context. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Communication Skills
Since you'll need to make complex data insights accessible to various stakeholders, practice explaining your past analyses in simple terms. Think of examples where you successfully communicated findings to non-technical team members. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific data challenges or scenarios. Prepare by thinking through potential problems you might face in the role, such as improving data processes or integrating cross-functional data. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company’s Vision
Research the company’s recent projects and their vision for growth in the fintech space. Be ready to discuss how your skills and experiences align with their goals. Showing that you understand their mission and how you can contribute will set you apart from other candidates.
