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

Business Analyst

Key skills

About this role

Requirements: