At a Glance
- Tasks: Support a national data optimisation project by analysing financial data and improving efficiency.
- Company: Join a dynamic team focused on enhancing government and financial services through data insights.
- Benefits: Enjoy hybrid working, competitive pay, and the chance to make a real impact in just 5 weeks.
- Other info: Immediate start available for the right candidate.
- Why this job: Be part of a crucial project that optimises data usage and drives cost efficiency across departments.
- Qualifications: Experience in FinOps or financial data services is essential; SC clearance required.
The predicted salary is between 36000 - 60000 £ per year.
Overview
We are seeking an experienced SC-cleared FinOps Business Analyst to support a national data optimisation project. This is a financial data consumption and cost efficiency role — not technical data engineering. The focus is on understanding how departments use data, identifying waste, and recommending improved models and contracts.
Location, Contract and Availability
- Location: Hybrid / London
- Contract: Outside IR35
- Clearance: SC (live)
- Start: Immediate
- Duration: 5 weeks initially
Key Responsibilities
- Review data service contracts and SLAs for efficiency, effectiveness, and value for money (VFM).
- Engage with departments and service providers to understand usage, behaviours, and pain points.
- Analyse consumption patterns to identify waste and opportunities for optimisation.
- Co-design improved operating models, focusing on fair usage, continuous improvement, and sector-wide efficiency.
- Deliver a clear set of business change options, a recommended data service model, and a roadmap for transition.
Requirements
- Proven experience in FinOps, cloud/SaaS cost optimisation, or financial data services.
- Strong business analysis skills; able to understand non-technical data requirements.
- Experienced in stakeholder engagement across business and service teams.
- Strong commercial awareness; capable of reviewing contracts and SLAs.
- SC clearance (live) – must be immediately available.
Seniority
- Associate
Employment Type
- Contract
Job Function
- Analyst
Industries
- Government Relations Services and Financial Services
Business Analyst - FinOps employer: ECS Resource Group
Join a forward-thinking organisation that values innovation and efficiency, where your expertise as a FinOps Business Analyst will directly contribute to national data optimisation efforts. Enjoy a hybrid working environment in London, with opportunities for professional growth and development while collaborating with diverse teams to drive meaningful change. Our commitment to employee well-being and continuous improvement makes us an exceptional employer for those seeking impactful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst - FinOps
✨Tip Number 1
Familiarise yourself with the specific financial data services and cloud/SaaS cost optimisation practices. Understanding the latest trends and best practices in FinOps will help you engage more effectively with stakeholders and demonstrate your expertise during discussions.
✨Tip Number 2
Network with professionals in the FinOps space, especially those who have experience in government or public sector projects. Attend relevant webinars or industry events to build connections that could provide insights or referrals for this role.
✨Tip Number 3
Prepare to discuss your previous experiences in analysing data consumption patterns and identifying waste. Be ready to share specific examples of how you've improved efficiency in past roles, as this will showcase your ability to deliver results in a similar context.
✨Tip Number 4
Since SC clearance is required, ensure that your clearance status is up-to-date and ready for verification. Being immediately available with live clearance will significantly enhance your candidacy for this position.
We think you need these skills to ace Business Analyst - FinOps
Some tips for your application 🫡
Understand the Role:Before applying, make sure you fully understand the responsibilities of a FinOps Business Analyst. Familiarise yourself with financial data consumption and cost efficiency concepts to tailor your application accordingly.
Highlight Relevant Experience:In your CV and cover letter, emphasise your proven experience in FinOps, cloud/SaaS cost optimisation, or financial data services. Use specific examples to demonstrate your strong business analysis skills and stakeholder engagement experience.
Showcase Your SC Clearance:Since SC clearance is a requirement for this role, clearly state your current SC clearance status in your application. This will help the employer quickly identify your eligibility for the position.
Tailor Your Application:Customise your CV and cover letter to reflect the key responsibilities and requirements mentioned in the job description. Use keywords from the listing to ensure your application stands out to hiring managers.
How to prepare for a job interview at ECS Resource Group
✨Understand the Role
Make sure you have a clear understanding of what a FinOps Business Analyst does. Familiarise yourself with financial data consumption, cost efficiency, and how to identify waste in data usage. This will help you answer questions confidently and demonstrate your knowledge.
✨Prepare for Stakeholder Engagement Questions
Since stakeholder engagement is crucial for this role, be ready to discuss your past experiences in engaging with different departments and service providers. Think of specific examples where you successfully identified pain points and recommended improvements.
✨Review Relevant Contracts and SLAs
Brush up on your skills in reviewing contracts and Service Level Agreements (SLAs). Be prepared to discuss how you would assess their efficiency and value for money, as this is a key responsibility of the role.
✨Showcase Your Analytical Skills
Be ready to demonstrate your analytical skills by discussing how you would analyse consumption patterns to identify waste. Prepare to explain your thought process and any tools or methodologies you would use to optimise data usage.
