At a Glance
- Tasks: Design and build operational infrastructure for scalable revenue growth using data and AI.
- Company: Join a leading LegalTech scale-up with a focus on innovation and collaboration.
- Benefits: Competitive salary, 25 days holiday, early finish Fridays, and enhanced parental leave.
- Other info: Diverse and inclusive environment with excellent career progression opportunities.
- Why this job: Make a real impact by turning messy data into actionable insights and driving commercial success.
- Qualifications: 3-5 years in Business Analysis or related fields, strong analytical skills, and experience with AI tools.
The predicted salary is between 63000 - 77000 £ per year.
The Business Analyst is a strategic business partner to the commercial leadership team, sitting at the intersection of business and technology. You will design and build the operational infrastructure that drives predictable, scalable revenue growth, with a particular focus on data, automation and AI-enabled systems. This is a hands-on, junior-to-mid technical role for someone who enjoys building things, connecting tools and turning messy data into clear, usable insight.
You will own commercial analytics, forecasting and the core commercial systems, whilst driving data-informed decision-making across Sales, Marketing and Customer Success. A significant portion of the role involves working with product usage and adoption data, partnering closely with Engineering and Product to connect customer behaviour, feature adoption and platform health to commercial outcomes.
You will use AI tools (Claude, coding assistants and others) to rapidly prototype, automate and deploy business processes, dashboards and lightweight internal applications. A core expectation is to champion an AI-first approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation re-imagine how we work.
Deliver clean, reliable data and analysis on NRR, GRR, logo retention, expansion and churn, enabling commercial leaders to turn metrics into actionable strategy. Partner with Sales, Marketing and Existing Business teams to identify growth levers, segment trends and operational bottlenecks across the customer lifecycle.
Act as commercial data and systems owner: define data models, governance, definitions and quality standards across Salesforce and associated tools. Design scalable workflows, playbooks and operating rhythms that support continuous growth, with an emphasis on automation over manual process.
Drive Salesforce excellence where needed (structure, hygiene, automation), while recognising that Salesforce is one component of a broader AI-centred stack. Build and maintain executive-level dashboards (e.g. in QuickSight or similar) that provide real-time visibility into pipeline health, forecast accuracy and business performance.
Lead cross-functional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems. Own and evolve the commercial tech stack (Salesforce and other tools), with a growing focus on AI connectivity, automation and “glue” systems that join data and workflows together.
Use AI coding assistants and Claude to build small internal applications, scripts and dashboards (for example, tools to host and serve dashboards or automate data pipelines). Prototype and deploy AI-enabled workflows for the commercial teams, such as transcript analysis, SDR enablement and campaign insights.
Ensure seamless data flow between commercial systems, Finance and product/usage data systems. Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, data-grounded recommendations.
Work closely with leaders such as the VP, Sales, VP, Customer and VP, Marketing to understand their questions, then design data and tooling that answers them. Support onboarding and enablement of commercial team members on systems, dashboards and AI-enabled ways of working.
Build strong cross-functional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance.
- 3–5 years’ experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenue-facing functions.
- Advanced analytical skills: expert-level Excel/Google Sheets and strong capability in SQL and/or a BI tool (e.g. QuickSight, Looker, Tableau, Power BI).
- Confident working with APIs, databases and modern data stacks (e.g. PostgreSQL, MongoDB, cloud data stores), and comfortable learning new tools quickly.
- Comfortable working with product usage and adoption data, collaborating with Engineering and Product to analyse behaviour and inform commercial strategy.
- Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented.
- Structured problem-solver with strong attention to detail and commercial pragmatism.
- Background as a junior or mid-level software developer or data engineer who enjoys business problems more than pure software engineering.
- Experience with AWS QuickSight or similar cloud-based BI platforms.
- Experience working in legal tech, professional services software or complex B2B sales environments.
- Exposure to AI-enabled tools for data analysis, automation or insight generation.
- Strong understanding of B2B SaaS business models and key commercial metrics (NRR, GRR, CAC, LTV, pipeline dynamics).
Competitive salary (depending on experience), 25 days holiday per year (plus public holidays). Early Finish Fridays - on the last Friday of every month, we finish at lunchtime! Pension with NEST. Enhanced parental leave policies so you can spend more time with your family. Lots of opportunities for accelerated professional development and career progression. Work alongside a supportive and talented team with the opportunity to grow one of the world’s leading LegalTech scale-ups.
We put users at the heart of our design to provide legal transaction experiences that everyone loves. In order to make that a reality, we seek to foster a diverse and inclusive working environment that can empower our people to be creative, effective and innovative, to build a brand we are proud of. We don’t discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence. We're committed to building a diverse team, and are constantly looking for ways to improve our processes to help us do that.
Business Analyst Full Time Permanent in London employer: Legatics
Legatics is an excellent employer for those seeking a flexible and rewarding role in the legal field. With a strong emphasis on collaboration, employees benefit from a supportive work culture, generous holiday allowance, and opportunities for personal development, making it an ideal environment for growth and work-life balance. The remote nature of the position allows for a unique blend of professional engagement and personal flexibility, particularly in the dynamic SaaS and data privacy sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst Full Time Permanent in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Legatics!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Analyst Full Time Permanent in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Legatics, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Legatics
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Legatics’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
