Business Analyst

Role Overview

• 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.
• 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.

Requirements

• 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
• 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)

Tech Stack

• AWS
• Cloud
• MongoDB
• Postgres
• SQL
• Tableau

Benefits

• 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; and
• Regular socials.
• Health insurance
• 401(k) matching
• Flexible work hours
• Paid time off
• Remote work options