At a Glance
- Tasks: Analyse data trends to support leadership decisions and drive commercial performance.
- Company: Dynamic SaaS company focused on growth and innovation.
- Benefits: Competitive salary up to £100k, hybrid working, and career development opportunities.
- Other info: Collaborate with senior stakeholders in a supportive and flexible work culture.
- Why this job: Join a fast-paced environment where your insights directly impact business strategy.
- Qualifications: Strong SQL skills, experience with Power BI, and understanding of SaaS metrics.
The predicted salary is between 90000 - 100000 £ per year.
I’m currently supporting a growing software business on a key analytics hire supporting leadership decision-making across finance and commercial performance. The role would suit someone who enjoys working closely with senior stakeholders and can combine strong technical analytics capabilities with commercial thinking and clear communication. This position is less about producing dashboards in isolation and much more about helping leadership teams understand what is happening across the business, why it is happening, and where attention should be focused. The environment is fast-moving, data-driven and commercially focused, with a strong emphasis on recurring revenue performance and strategic growth metrics.
What they’re looking for:
- Strong SQL capability
- Experience using Power BI in a commercial environment
- Exposure to Snowflake or modern cloud data platforms
- Strong understanding of SaaS / subscription metrics
- Experience supporting finance or commercial reporting
- Comfortable working with senior stakeholders
- Ability to explain complex findings in a simple and confident way
The role will involve:
- Analysing financial and operational performance trends
- Supporting leadership reporting and strategic reviews
- Building scalable reporting and insight workflows
- Working across finance, data and operational teams
- Helping improve consistency and quality of business reporting
- Identifying trends, risks and commercial opportunities within the data
The ideal background would likely include:
- SaaS or subscription businesses
- Scaleup or high-growth environments
- Commercial analytics/revenue analytics / BI
- PE-backed exposure beneficial
- Consultancy or Big 4 training beneficial but not essential
Hybrid working with flexibility, though candidates should be London commutable for stakeholder sessions and planning meetings. If this sounds of interest, please apply for more information.
Senior Data Analyst in City of London employer: Evantis Technology
Contact Detail:
Evantis Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the SaaS and analytics space. Attend industry meetups or webinars, and don’t be shy about asking for introductions to decision-makers. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Power BI skills. Be ready to discuss how you've used these tools to drive commercial insights in past roles. We want you to showcase your ability to communicate complex data findings clearly to senior stakeholders.
✨Tip Number 3
Research the company’s recent performance and challenges. This will help you tailor your discussions around how you can add value, especially in terms of financial and operational trends. We love candidates who come prepared with insights and questions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talent that can thrive in a fast-moving, data-driven environment like ours.
We think you need these skills to ace Senior Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your SQL skills, experience with Power BI, and any exposure to SaaS metrics. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this fast-paced, data-driven environment. Share specific examples of how you've helped leadership teams make informed decisions in the past.
Showcase Your Communication Skills: Since this role involves working closely with senior stakeholders, it's crucial to demonstrate your ability to explain complex findings simply. We love candidates who can communicate insights clearly, so don’t shy away from showcasing this in your application.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Evantis Technology
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past roles, especially in a commercial context. Think about specific examples where your SQL expertise led to actionable insights.
✨Showcase Your Power BI Experience
Since this role involves using Power BI, be ready to talk about your experience with it. Bring examples of dashboards or reports you've created that had a significant impact on decision-making. Highlight how you’ve made complex data accessible to stakeholders.
✨Understand SaaS Metrics
Familiarise yourself with key SaaS metrics and how they relate to business performance. Be prepared to discuss how you've used these metrics in previous roles to drive growth or improve financial reporting. This will show your commercial thinking and analytical capabilities.
✨Communicate Clearly with Stakeholders
Practice explaining complex findings in a simple way. During the interview, demonstrate your ability to communicate effectively with senior stakeholders. Use examples from your past experiences where you successfully conveyed important insights to non-technical audiences.