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- 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.
- 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.
- Other info: Diverse and inclusive environment with excellent career progression opportunities.
The predicted salary is between 50000 - 65000 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 AI‑enabled systems. This is a hands‑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.
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 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.
- 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 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.
- Stakeholder Management & Enablement
- 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.
- Essential
- 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.
- 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 cross‑functional teams.
- Structured problem‑solver with strong attention to detail and commercial pragmatism.
- Desirable
- 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).
What we offer you:
- 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 scale‑ups.
- A warm, genuinely collaborative culture and an awesome team.
- 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 employer: Legatics
Contact Detail:
Legatics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst
✨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.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those involving data analysis and AI tools. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to business analysis and data-driven decision-making. Use real-life examples from your experience to illustrate how you've tackled challenges and delivered results.
✨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, it shows you’re genuinely interested in joining our awesome team!
We think you need these skills to ace Business Analyst
Some tips for your application 🫡
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! Use it to tell us why you're passionate about the role and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical prowess. Include examples of how you've turned messy data into clear insights or how you've used tools like SQL or BI platforms to drive decisions.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Legatics
✨Know Your Data Inside Out
As a Business Analyst, you'll be working with complex datasets. Make sure you understand the key metrics like NRR, GRR, and how they impact commercial strategy. Prepare to discuss how you've used data to drive decisions in past roles.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in tools like SQL, Excel, and BI platforms such as QuickSight or Tableau. Bring examples of dashboards or reports you've created, and be prepared to explain the thought process behind them.
✨Emphasise Your AI Experience
Since the role involves using AI tools, highlight any experience you have with AI coding assistants or automation tools. Discuss specific projects where you've implemented these technologies to improve processes or insights.
✨Build Relationships with Stakeholders
Stakeholder management is key in this role. Prepare to talk about how you've collaborated with cross-functional teams in the past. Share examples of how you've influenced decisions without direct authority, showcasing your communication skills.