At a Glance
- Tasks: Analyse customer data to drive retention and engagement strategies.
- Company: Join a dynamic FinTech company with a strong growth trajectory.
- Benefits: Competitive day rate, remote work flexibility, and a focus on learning.
- Other info: Opportunity for ownership and influence in a high-impact culture.
- Why this job: Make a real impact by enabling data-driven decisions in a scaling organisation.
- Qualifications: Proficient in SQL and experienced with BI tools.
Contract length: 3 Months
Day rate: £400 – £500 per day
Location: London/remote
Data Idols are working with a FinTech company that empowers finance teams to automate day-to-day processes and make better, data-driven decisions. The business is known for its high-impact culture, strong growth trajectory, and commitment to learning and development. This is an opportunity to join a scaling organisation where data plays a central role in driving commercial outcomes.
The Opportunity
They are looking for a Senior Data Analyst to support their Customer Success function by enabling data-driven decisions across customer retention, engagement, and expansion. You will analyse customer usage, adoption, and engagement data to identify trends, risks, and opportunities. You will ensure data accuracy, quality, and reporting integrity across customer-related reporting. They are looking for a Senior Data Analyst with a strong commercial mindset and an understanding of how businesses drive retention and expansion.
Skills & Experience
- Proficient in SQL
- Experience with BI tools
- Knowledge of DBT and BigQuery
If you’re looking for a role where you can combine technical depth, ownership, and influence, please submit your CV for initial screening and further details.
Data Analyst employer: Data Science Festival
Data Idols is an exceptional employer, offering a dynamic work environment that champions innovation and professional growth. With a strong focus on learning and development, employees are empowered to enhance their skills while contributing to impactful projects in the FinTech sector. The flexibility of remote work combined with a culture that values data-driven decision-making makes this an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land 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 insights that might just land you that Senior Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL and BI tools. This will not only demonstrate your technical prowess but also your ability to drive data-driven decisions.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Think about how you've used data to influence customer retention or engagement in past roles. We want you to shine when discussing your commercial mindset!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals who can help us make better, data-driven decisions.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, BI tools, and any relevant projects that showcase your ability to drive data-driven decisions.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve used data analysis to impact customer retention or engagement. We love seeing real-world applications!
Keep It Clear and Concise:When writing your application, keep it clear and to the point. Avoid jargon unless it’s necessary, and make sure your key achievements stand out. We appreciate straightforward communication!
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!
How to prepare for a job interview at Data Science Festival
✨Know Your SQL Inside Out
As a Senior Data Analyst, you'll need to showcase your SQL skills. Brush up on complex queries and be ready to discuss how you've used SQL to solve real business problems. Prepare examples that highlight your ability to manipulate data effectively.
✨Familiarise Yourself with BI Tools
Since the role involves using BI tools, make sure you’re comfortable discussing your experience with them. Bring specific examples of how you've used these tools to drive insights and support decision-making in previous roles.
✨Understand Customer Success Metrics
Dive deep into customer retention, engagement, and expansion metrics. Be prepared to discuss how data influences these areas and share any relevant experiences where your analysis led to improved customer outcomes.
✨Showcase Your Commercial Mindset
This role requires a strong commercial mindset. Think about how your analytical work has contributed to business growth in the past. Be ready to articulate how data-driven decisions can impact the bottom line and support the company's goals.
