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.

What you’ll do

• Design, implement, and improve reliable, scalable, performant, and secure production platforms and services.
• Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
• Support and guide engineers across the organisation, promoting strong engineering standards and operational best practice.
• Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
• Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
• Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.

Essential skills and experience

• 3+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
• Strong Kubernetes experience, with a solid understanding of containers and container orchestration.
• Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
• Programming skills in at least one object-oriented language, along with scripting and automation capability.
• Good understanding of security principles and best practices across infrastructure, platforms, and services.
• Hands-on experience in one or more major cloud platforms, with exposure to AWS, GCP, or OCI.
• Monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
• Solid understanding of networking fundamentals and distributed systems.
• Strong Linux and/or Windows systems administration experience.
• Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
• Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
• Experience managing and supporting Elasticsearch in production is beneficial.

• Additional Premium Health insurance
• Life Insurance
• Food vouchers equal to 70 Euro per month
• Holiday: 25 days vacation and 4 Wellness day per year
• Flexible benefits (Re:benefits)
• Full Calm subscription
• 24/7 Employment Assistance Program

What You’ll Do 

• Design and develop internal software tools, services, and frameworks that improve the developer experience (e.g. custom CLI tools, development environment enhancements, test automation frameworks).
• Work with engineering teams to gather requirements and feedback for developer tools, then iterate on solutions to ensure they address real-world needs.
• Improve and maintain our CI/CD pipeline code and infrastructure, ensuring build and deployment processes are efficient, reliable, and scalable.
• Contribute to the architecture of our developer platform by evaluating new technologies and integrating open-source solutions to enhance productivity.
• Mentor and guide other software engineers in using DevX tools and adopting best practices for efficient software delivery.
• Ensure all DevX solutions are well-documented, maintainable, and secure; actively participate in code reviews and design discussions to uphold high standards.
• Partner with engineering teams to define and enforce AI standards within the developer ecosystem, ensuring consistent, scalable, and secure adoption of AI-driven solutions. 

Essential Skills & Experience 

• 5+ years' experience in Software Engineering or DevOps roles, with a focus on building developer tooling or platforms.
• Programming skills in one or more languages (such as Python, Java, Go, or C#), with the ability to write clean, maintainable code for internal tools and services.
• Experience designing and implementing CI/CD pipelines and build/release processes, including familiarity with tools like Jenkins, GitLab CI, or GitHub Actions.
• Solid understanding of software development best practices (version control, code reviews, automated testing) and experience integrating these into automated workflows.
• Proficiency with containerization and cloud infrastructure (Docker, Kubernetes, AWS/GCP/OCI) to support on-demand development and testing environments.
• Strong problem-solving skills and the ability to quickly learn and adapt to new technologies and frameworks that improve developer productivity.
• Excellent communication skills and a collaborative approach, with experience mentoring engineers or leading technical projects to successful outcomes. 

Preferred (Not Essential) 

• Contributions to open-source developer tools or active involvement in the developer community.
• Experience with developer experience platforms or tools (e.g. Backstage) is a plus. 

• Support both recurring and ad hoc reporting across key sales metrics, including pipeline, bookings, forecasting, productivity, and overall performance
• Maintain and validate sales data within CRM and associated systems, ensuring high levels of accuracy, completeness, and consistency
• Assist in the administration and optimisation of core sales processes, including territory alignment, account assignment, quota tracking, and pipeline management
• Collaborate cross-functionally to support operational workflows, system enhancements, and process documentation
• Analyze sales data trends and generate actionable insights to inform business planning and strategic decision-making
• Contribute to the development of dashboards, presentations, and performance reports for leadership review
• Support system upgrades, testing, and user acceptance processes related to sales tools and reporting platforms
• Develop and maintain standard operating procedures, ensuring adherence to established processes and controls
• Provide additional operational support and take on responsibilities as required to meet evolving business needs

• Bachelor’s degree or equivalent experience in Business, Finance, Economics, or a related field
• 4+ years of professional experience in related field
• Understanding of sales processes, CRM systems, and pipeline management is a plus
• Analytical mindset with attention to detail 
• Excellent organisational skills with the ability to manage multiple tasks and priorities
• Professional communication skills in English, both written and verbal
• Proactive attitude with a willingness to learn and take initiative
• Comfortable working in a fast-paced, collaborative environment
• Basic experience with data visualisation tools (e.g., dashboards) is advantageous but not required

• Additional Premium Health insurance
• Life Insurance
• Food vouchers equal to 70 Euro per month
• Holiday: 25 days vacation and 4 Wellness day per year
• Flexible benefits (Re:benefits)
• Full Calm subscription
• 24/7 Employment Assistance Program

What you’ll do

• Lead the design, implementation, and ongoing improvement of reliable, scalable, performant, and secure production platforms and services.
• Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
• Provide technical leadership and mentorship to engineers across the organisation, promoting strong engineering standards and operational best practice.
• Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
• Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
• Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.

Essential skills and experience

• 5+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
• Strong Kubernetes experience at scale, with deep understanding of containers and container orchestration.
• Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
• Strong programming skills in at least one object-oriented language, along with effective scripting and automation capability.
• Strong understanding of security principles and best practices across infrastructure, platforms, and services.
• Significant hands-on experience in at least one major cloud platform, with broad exposure across AWS, GCP, or OCI.
• Strong monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
• Solid understanding of networking fundamentals and distributed systems.
• Strong Linux and/or Windows systems administration experience.
• Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
• Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
• Experience managing and scaling Elasticsearch in production is strongly preferred.

Preferred skills

• Kafka
• MySQL and/or PostgreSQL
• Redis
• Networking

About the Role

We’re looking for a Lead DevOps Engineer (Observability & Developer Experience) to take ownership of two key areas within our engineering operations. You’ll work closely with the engineering teams responsible for our observability platform and developer tools, helping to ensure our systems are reliable and our developers are empowered with efficient workflows. In this role, you’ll shape the technical direction for monitoring, logging, CI/CD, and automation initiatives across the organization, while staying hands-on with engineering work. You’ll also collaborate with teams across the company to drive continuous improvement and innovation.

What You’ll Do

• Lead and contribute to a team of DevOps/SRE engineers focused on Observability (monitoring, logging, alerting) and Developer Experience (CI/CD pipelines, internal developer tools).
• Help define the roadmap and vision for observability and developer productivity, aligning with business and engineering needs.
• Design, implement, and operate monitoring and logging infrastructure, ensuring robust visibility into system health and performance.
• Build and maintain CI/CD pipelines and automation frameworks that enable fast, safe deployments and improve developer workflows.
• Collaborate with other engineering and product teams to drive cross-functional initiatives and ensure reliability and efficiency are embedded into our services.
• Establish and share best practices for infrastructure management, incident response, and post-mortems.
• Contribute to defining and implementing AI tooling and standards across the company, ensuring developers have access to scalable and secure AI platforms.

What You’ll Bring

• 5+ years of experience in DevOps, SRE, or Infrastructure Engineering, including some experience leading or mentoring other engineers.
• Hands-on expertise in observability practices and tools (e.g., Prometheus, Grafana, ELK stack) and familiarity with SRE principles.
• Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI) and Infrastructure as Code practices.
• Knowledge of cloud platforms (AWS and/or GCP) and container orchestration (Kubernetes), and experience building scalable systems.
• Strong collaboration and communication skills, with experience working across teams (development, QA, product).
• Passion for automation, reliability, and developer efficiency, with a mindset of continuous improvement.

Preferred (Not Essential)

• Experience leading DevOps/SRE transformations or implementing reliability engineering practices at scale.
• Previous software engineering experience.

Why Join Us?
This role is perfect for someone who wants to stay hands-on technically while also mentoring and influencing a team. You’ll have a direct impact on the reliability and efficiency of our engineering systems and help shape the way our developers work every day.