At a Glance
- Tasks: Transform messy data into clear insights and drive revenue growth with AI tools.
- Company: Join a leading LegalTech scale-up with a collaborative culture.
- Benefits: Competitive salary, 25 days holiday, early finish Fridays, and personal development budget.
- Other info: Diverse and inclusive environment with excellent career progression opportunities.
- Why this job: Be at the forefront of AI innovation while making a real impact on business strategies.
- Qualifications: 3-5 years in Business Analysis or related fields, strong analytical skills, and experience with AI tools.
The predicted salary is between 50000 - 60000 ÂŁ 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 AIâenabled systems. This is a handsâtoâmid 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 dataâinformed decisionâmaking 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 AIâfirst approach: using automation and emerging tools not just to make existing processes more efficient, but to help the organisation reâimagine how we work.
Key Responsibilities- Revenue Strategy & Insight
- 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.
- Analyse cohort behaviour, product adoption and revenue drivers, surfacing leading indicators that allow teams to act proactively.
- Translate complex datasets into clear narratives, dashboards and recommendations for senior stakeholders and the board.
- Revenue Operations, Process & Systems
- 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 AIâcentred stack.
- Build and maintain executiveâlevel dashboards (e.g. in QuickSight or similar) that provide realâtime visibility into pipeline health, forecast accuracy and business performance.
- Lead crossâfunctional initiatives to improve commercial efficiency, reduce friction and accelerate revenue velocity, using AI and lightweight applications to connect systems.
- AI, Automation & Internal Tools
- 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 AIâenabled 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.
- Stakeholder Management & Enablement
- Operate as a trusted advisor to the COO, CCO and commercial leadership, providing pragmatic, dataâgrounded 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 AIâenabled ways of working.
- Build strong crossâfunctional relationships, influencing without authority to drive alignment and execution across Commercial, Product, Engineering and Finance.
- Essential
- 3-5 years' experience in Business Analysis, Data/Commercial Analysis, Product Analytics, Strategy, Operations or Software Engineering, ideally with exposure to commercial or revenueâfacing functions.
- Advanced analytical skills: expertâlevel 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.
- Demonstrable experience using AI tools (e.g. Claude, GitHub Copilot or similar) to accelerate analysis, build small applications or automate workflows.
- Proven ability to design processes, frameworks and documentation that drive operational excellence and can be owned by business teams once implemented.
- Excellent stakeholder management: confident communicating with senior leadership and crossâfunctional teams.
- Structured problemâsolver with strong attention to detail and commercial pragmatism.
- Desirable
- Background as a junior or midâlevel software developer or data engineer who enjoys business problems more than pure software engineering.
- Experience with AWS QuickSight or similar cloudâbased BI platforms.
- Experience working in legal tech, professional services software or complex B2B sales environments.
- Exposure to AIâenabled 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.
- Personal Learning & Development budget.
- 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 scaleâups.
- A warm, genuinely collaborative culture and an awesome team; and Regular socials.
Power in diversity: 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 in London employer: Legatics
Contact Detail:
Legatics Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Business Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to business analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills.
â¨Tip Number 3
Show off your skills! Create a portfolio of projects that highlight your analytical abilities, especially those involving data visualisation and AI tools. This will give you an edge and demonstrate your hands-on experience.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Business Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the Business Analyst role. Highlight your experience with data analysis, automation, and any AI tools you've used. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for turning messy data into clear insights and how you can contribute to our revenue strategy. Let us know why you're excited about joining StudySmarter!
Showcase Your Technical Skills: Donât hold back on your technical prowess! Mention your experience with SQL, BI tools, and any coding assistants like Claude. We love candidates who are comfortable with modern data stacks and can hit the ground running.
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 donât miss out on any important updates from us!
How to prepare for a job interview at Legatics
â¨Know Your Data Inside Out
As a Business Analyst, you'll be expected to handle data like a pro. Before the interview, brush up on your analytical skills and be ready to discuss how you've turned messy data into actionable insights. Prepare examples of how you've used tools like SQL or BI platforms to drive decision-making.
â¨Showcase Your AI Savvy
This role champions an AI-first approach, so make sure you highlight your experience with AI tools like Claude or GitHub Copilot. Be prepared to discuss specific projects where you've used these tools to automate processes or build applications, demonstrating your ability to innovate.
â¨Understand the Commercial Landscape
Familiarise yourself with key commercial metrics such as NRR, GRR, and CAC. During the interview, connect your past experiences to these metrics and explain how your insights have influenced revenue strategies. This will show that you understand the business side of things.
â¨Build Relationships, Even Virtually
Stakeholder management is crucial in this role. Think about how you've collaborated with cross-functional teams in the past. Prepare to share examples of how you've influenced decisions without direct authority, showcasing your communication skills and ability to work well with others.