Key Responsibilities

• Business Analysis & Stakeholder Partnership
  • Act as the primary analytics partner to senior commercial stakeholders across Sales, Marketing, Customer Success, and Revenue Operations.
  • Apply strong business analysis discipline — translating ambiguous business questions into well-scoped requirements, clear success criteria, and structured analytical briefs before any build begins.
  • Proactively surface insights, trends, risks, and opportunities that inform decision-making at leadership level.
  • Support strategic initiatives such as CRM consolidation, demand intelligence optimization, territory and book-of-business changes, and forecasting improvements.
  • Own end-to-end project management of analytics deliverables — from requirements gathering and prioritization through to delivery, adoption, and iteration — ensuring stakeholders are informed and timelines are met
• Communication, Enablement & Influence
  • Demonstrate exceptionally strong communication skills across all levels of the organisation — from crafting executive narratives for senior leadership forums to running hands-on enablement sessions for managers and frontline sales representatives.
  • Translate complex data, AI outputs, and analytical findings into plain-language stories that drive clarity, confidence, and action.
  • Design and deliver enablement programmes that help managers and reps understand, trust, and act on dashboards, KPIs, and AI-generated insights — building genuine data literacy across the Revenue Organisation rather than dependency on the BI team.
  • Champion clear, consistent communication of what metrics mean, how they are calculated, and why they matter — removing ambiguity at every level.
  • Influence without authority; build credibility with senior stakeholders through the quality of insight and the integrity of the underlying data.

• Analytics, Reporting & Insight
  • Own the design and delivery of executive-level dashboards and self-service reporting, primarily using Power BI.
  • Ensure consistent definitions and calculations for revenue KPIs, North Star metrics, and commercial performance indicators.
  • Conduct deep-dive analyses to diagnose performance issues and recommend actionable next steps.
  • Write and optimise advanced SQL queries to extract, transform, and validate data across our Databricks data warehouse and connected source systems.
  • Leverage Databricks as the central analytical platform — working within notebooks, SQL warehouses, and the broader Lakehouse environment to build reliable, scalable analytical outputs.

• AI & LLM Integration
  • Be a power user and internal advocate of LLM-based tools, including Microsoft Copilot and Anthropic Claude (including Claude Code), using them to accelerate analysis, generate and review SQL, draft communications, and surface insight more efficiently.
  • Help define and create LLM agents for the Go To Market organisation – connecting context to frontline AI tools such as MS Copilot and Salesloft.
  • Proactively identify opportunities to embed LLM and AI capabilities into BI workflows, dashboards, and analytical processes — raising the ceiling of what the team can deliver.
  • Work with the Senior Manager of BI to evaluate and scale AI-assisted analytics approaches across the team, including the use of Databricks' native LLM and AI capabilities.
  • Help commercial stakeholders and frontline teams understand and appropriately trust AI-generated outputs — building confidence in AI tools through clear explanation, demonstration, and enablement.

• Data Modelling & Quality
  • Partner with Data Analytics Engineers to define analytical data models that support revenue, pipeline, customer lifecycle, and performance reporting.
  • Validate data accuracy and integrity across the analytics layer, proactively identifying and resolving issues before they impact decision-making.
  • Contribute to data governance standards, metric documentation, and reporting best practices.
• Technology & Tooling Context
  • • The Lead Business Analyst will work within a modern BI and revenue intelligence stack, including:
    • Layer Tools
    • Data Warehouse & Analytics Databricks (central data warehouse with LLM capabilities)
    • BI & Visualisation Power BI
    • AI & LLM Tooling Microsoft Copilot, Anthropic Claude, Claude Code, Databrick Genie, Databricks hosted LLM models
    • Core Commercial Systems Salesforce (multiple instance), PlanHat, &
    • Revenue & Demand
    • Intelligence Clay
    • Sales Enablement &
    • Engagement Salesloft (including AI and conversational intelligence) & HighSpot
    • A strong understanding of how these systems connect — and how data flows end-to-end from source systems to executive dashboards and frontline tools — is essential.
• Required Experience & Skills

• • 8+ years of experience in a Business Analysis, Analytics, or BI within a SaaS or technology-driven organisation.
  • Experience supporting RevOps, Sales Operations, or Commercial Analytics teams.
  • Advanced SQL skills — comfortable writing complex queries, debugging data issues, and working directly within a cloud data warehouse environment; Databricks experience strongly preferred.
  • Strong business analysis capability — proven ability to scope, structure, and document analytical requirements with rigour before moving into delivery.
  • Proven project management skills — able to manage multiple concurrent workstreams, set and meet deadlines, and maintain clear stakeholder communication throughout.
  • Exceptionally strong communication skills — a natural and compelling communicator in written and verbal form, equally effective presenting strategy to a VP as running a training session for a team of account executives.
  • Demonstrated experience designing and delivering stakeholder enablement on data, dashboards, or analytics tooling — not just building outputs, but ensuring they are understood and adopted.
  • Proven experience delivering executive-ready dashboards and self-service reporting (Power BI preferred).
  • Strong commercial and revenue-focused business acumen.
  • Active and confident user of LLM tools such as Microsoft Copilot or Anthropic Claude in a professional analytical context.
• Preferred Experience

• • Hands-on experience with Databricks — including SQL warehouses, notebooks, and the Lakehouse architecture.
  • Experience using Claude Code or similar AI coding assistants to accelerate SQL development, data validation, or analytical scripting.
  • Familiarity with CRM and GTM analytics — Salesforce, pipeline reporting, forecasting, MEDDPICC, territory models.
  • Hands-on Experience with Clay
  • Ideally experience with Python (e.g. connecting to APIs)
  • Exposure to building or scaling data literacy programmes within a commercial organisation.
• What Success Looks Like

• Leaders trust the dashboards and insights/recommendations produced and use them to run the business with confidence.
• Managers and frontline reps understand and act on data, insights, and AI outputs — because this role has invested in enabling them, not just building for them.
• KPIs and metrics are clearly defined, consistently applied, and widely adopted across the organisation.
• LLM and AI tools are meaningfully embedded into BI workflows, improving speed, quality, and reach of analytical output.
• The BI team is seen as a strategic partner — not just a reporting function.
• Data quality issues are proactively identified and resolved before impacting decision-making.
• Projects are delivered on time, with clear communication and minimal surprises for stakeholders.

This role is responsible for designing, implementing, and optimizing digital customer experiences that support onboarding, product adoption, engagement, and retention within a SaaS environment. The position applies analytical thinking, platform capabilities, and cross-functional collaboration to enhance user journeys, improve lifecycle outcomes, and drive measurable improvements in digital interactions in alignment with established policies and business objectives.

Essential Duties & Responsibilities

• Design and manage digital engagement initiatives, such as in-application messaging, guided product experiences, knowledge resources, and lifecycle communications, to support customer onboarding, feature adoption, and retention objectives.
• Analyze user behavior, engagement metrics, and product usage data to identify trends, diagnose experience gaps, and recommend data-informed improvements to digital touchpoints.
• Configure and maintain digital experience elements within approved platforms, ensuring accuracy, consistency, and alignment with brand, product, and customer experience standards.
• Partner with cross-functional stakeholders, such as product management, customer success, marketing, and operations, to align digital experience initiatives with product updates, customer lifecycle milestones, and organizational priorities.
• Plan and coordinate digital experience projects, including defining scope, timelines, dependencies, and success measures, while monitoring progress and mitigating risks within established guidelines.
• Evaluate the effectiveness of digital engagement activities through performance reporting, experimentation, and structured feedback, documenting insights and recommending enhancements to improve user satisfaction and business outcomes.
• Contribute to the development and maintenance of best practices, documentation, and scalable frameworks that support consistent digital experience delivery across markets and functions.
• Ensure digital engagement activities adhere to internal policies, data governance standards, and user experience guidelines.
• Perform other duties and responsibilities as required to support business needs.

Job Level Competencies

• Thorough knowledge of principles, theories and concepts in area of discipline. Competent in all job functions and has a general understanding of the industry’s practices, techniques and standards.
• Develops solutions for a variety of situations and works on projects requiring evaluation and analysis. May refer to policies, practices and precedents for guidance; determines best course of action to achieve results.
• Work is performed independently and requires the exercise of judgment and discretion. May receive some limited guidance for new assignments. Work may be reviewed for overall adequacy.
• Collaborates with management and team members within the department/function and other areas of the organization. May represent department internally or externally.
• Actions may impact on the success of the overall department and/or the organization. Failure to accomplish work or erroneous decisions may result in delays to projects, loss of revenue or allocation of additional resources to remedy.

Qualifications

• Typical experience: 3+ years in related role or experience.
• Actual experience may vary depending on role complexity, geography, and internal development opportunities or a comparable mix of training, education, and experience.
• Demonstrated ability to design and manage digital engagement or customer experience initiatives within a SaaS or technology-enabled environment.
• Proficiency in interpreting user behavior data and translating insights into actionable recommendations that improve digital experiences.
• Experience working with digital engagement or customer experience platforms and applying configuration capabilities within established parameters.
• Strong analytical, problem-solving, and critical-thinking skills with the ability to exercise sound judgment within defined policies and procedures.
• Effective project coordination skills, including planning, prioritization, and management of multiple concurrent initiatives.
• Strong written and verbal communication skills, with the ability to collaborate effectively across cross-functional teams.
• Ability to adapt to evolving business priorities and apply structured approaches to continuous improvement.

Preferred Qualifications

• Education: University degree preferred.
• Experience supporting digital onboarding, product adoption, or lifecycle engagement strategies in a subscription-based or SaaS business model.

Technical Responsibilities:

• Design, implement, and maintain network infrastructure across cloud and on-premises environments
• Implement and maintain routing architectures including BGP, OSPF, route policies, and peering strategies
• Implement and manage hybrid networking including VPNs, Direct Connect, and inter-region routing
• Manage and configure Cisco networking hardware
• Develop network automation using Infrastructure-as-Code tools (Terraform, Ansible)
• Implement network security controls including segmentation, firewall policies, and access management
• Participate in capacity planning, performance optimization, and traffic analysis
• Participate in incident response and root cause analysis for network-related outages
• Manage ISP connectivity including transit providers, private circuits, and carrier relationships

As an Engineering Manager, your primary responsibilities include: 

 Maintaining and improving current systems while designing and implementing new ones 

• Uphold a high-quality standard in the backend stack in collaboration with other teams 

• Deliver well-tested and scalable solutions. 

• Collaborating with customers and business teams to translate requirements into technical documentation and architectural drawings 

• Monitoring systems and optimizing their performance and reliability 

• Mentoring and guiding junior members of the team and participating in the interviewing process for new candidates 

• Proactively share and debate best practices with your peers. 

• Coordinating with other departments to avoid duplicated efforts 

• Developing solutions using modern technologies 

• Understanding data storage engines, data processing pipelines, and APIs 

• Writing well-documented, elegant, and self-testing code 

• Communicating effectively with colleagues and management to ensure we're building the right thing at the right time. 

What you have: 

• Minimum 5+ years hands-on experience on a production system as developer. 

• Solid understanding of APIs and contracts. 

• Solid understanding of micro-services and domain-driven design. 

• Excellent knowledge of Java, we are using Java 21. 

• Intimate knowledge of the Spring Framework and the Spring ecosystem (although other similar frameworks are also fine). 

• Experience with highly distributed, event-driven systems 

• Experience with relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. Elasticsearch, Bigtable, Redis) databases. 

• In-depth knowledge of RESTful APIs, their design and implementation. 

• Working knowledge of messaging technologies, Apache Kafka is a plus. 

• Experience in building and debugging complex systems. 

• Some exposure to reactive programming (is welcome). 

• A record of coaching & mentoring other team members. 

• Willingness and aptitude to influence the technical, architectural direction of our product. 

• Proficiency with Docker and Kubernetes 

• The ability to write concise, to the point and idiomatic code in Java. 

• Knowledge of unit testing frameworks and end-to-end testing. 

• Excellent skills in communication and teamwork. 

• Adaptable, resourceful and able to share your knowledge with the rest of the team. 

• Fluency in English.