At a Glance
- Tasks: Build data capabilities and create actionable insights for global markets.
- Company: Leading SaaS fintech company in London with a hybrid work model.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment focused on innovation and continuous improvement.
- Why this job: Make a real impact by transforming data into strategic insights.
- Qualifications: 5+ years in Data Analytics, strong SQL skills, and experience with visualisation tools.
The predicted salary is between 60000 - 70000 £ per year.
Location - London
Pay Rate - £285 per day Inside IR35
Working Model - 3 Days per week on-site
Must have SaaS experience
My client who are leaders in their field are looking for a Data Analyst who will be building core data capabilities across multiple global regions and markets. This role is critical in addressing analytics gaps by enabling actionable insights, automating dashboards, and ensuring consistent, reliable data foundations.
Key Responsibilities:
- Building robust data foundations: Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions and governance tailored for International markets.
- Developing actionable dashboards & reporting: Create and maintain scalable, user-friendly dashboards that provide visibility into key performance metrics.
- Delivering deep-dive analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies.
- Enabling experimentation & continuous improvement: Support A/B testing and digital experience evaluations by analysing performance outcomes and quantifying customer and business impact.
- Influencing strategy through storytelling: Communicate insights and trends clearly and persuasively to technical and non-technical stakeholders, ensuring alignment on decisions that improve customer experience.
Key Skills/Experience:
- 5+ years of experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains
- Proficiency in SQL for data extraction, transformation, and pipeline development
- Experience with dashboarding and visualization tools (Tableau, Qlik, or similar)
- Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes
- Experience with Python or R for advanced analytics, automation, or experimentation support preferred
- Hands-on experience applying Gen AI to analytics workflows is a strong plus - eg, automated insight generation, AI-assisted analysis, or LLM-enhanced data pipelines; machine learning experience also a plus
- Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences
Data Analyst - SQL - Tableau - Qlik - Python - Customer Success - SaaS - Fintech - London - Hybrid employer: Nexere Consulting Limited
Join a leading Fintech company in London that prioritises employee growth and innovation. With a hybrid working model, you will enjoy a collaborative work culture that fosters creativity and continuous improvement, while also benefiting from competitive pay and the opportunity to work on impactful projects that shape customer success across global markets.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - SQL - Tableau - Qlik - Python - Customer Success - SaaS - Fintech - London - Hybrid
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Analyst gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and analytics projects. We recommend using platforms like GitHub or even a personal website to make your work shine. This way, potential employers can see your SQL, Tableau, and Python prowess in action!
✨Tip Number 3
Prepare for interviews by practising common data analysis scenarios. We suggest running through case studies or mock interviews with friends. Being able to articulate your thought process and problem-solving skills will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities tailored for Data Analysts like you. Plus, applying directly can sometimes give you a leg up in the hiring process. Let’s get you that job!
We think you need these skills to ace Data Analyst - SQL - Tableau - Qlik - Python - Customer Success - SaaS - Fintech - London - Hybrid
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with SQL, Tableau, and Python, and don’t forget to mention any SaaS experience you have. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data analytics and how you can contribute to our team. Share specific examples of your past work that relate to the role, especially around building dashboards and delivering insights.
Showcase Your Analytical Skills:In your application, include examples of how you've used data to drive decisions or improve processes. We love seeing real-world applications of your skills, so don’t hold back on sharing those success stories!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Nexere Consulting Limited
✨Know Your Tools Inside Out
Make sure you’re well-versed in SQL, Tableau, Qlik, and Python. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to share real examples will show your expertise and confidence.
✨Understand the Business Context
Familiarise yourself with the SaaS and Fintech industries, especially how data analytics drives customer success. Research the company’s products and services, and think about how your role as a Data Analyst can impact their goals. This will help you align your answers with their needs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve problems or analyse data scenarios. Practice articulating your thought process clearly, especially when discussing root cause analysis or A/B testing. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Communicate Like a Pro
Since you'll need to influence strategy through storytelling, practice explaining complex data insights in simple terms. Think about how you would present findings to both technical and non-technical stakeholders. Clear communication can set you apart from other candidates.
