Senior BI & Analytics Specialist

Role Overview

• Translate business needs into data requirements: work directly with business stakeholders to capture, clarify and prioritise analytical requirements, ensuring alignment between strategic goals and technical execution.
• Own the full analytics delivery lifecycle: from scoping data needs and coordinating with data engineering, to building models, dashboards and reports in the relevant tooling, to presenting findings and insights to leadership.
• Lead the OneView Dashboard initiative: consolidate KPIs from across the business (revenue, free subscriptions, campaign performance, web traffic, and more) into a unified, reliable reporting layer for one of our key SaaS brands.
• Coordinate with data management and modelling teams to ensure timely delivery.
• Drive the GTM Funnel Analytics programme: support the design and delivery of a centralised Go-To-Market funnel tracking system, covering lead acquisition, channel performance, and marketing automation across a portfolio of SaaS brands.
• Expand analytics maturity over time: once GTM tracking is established for initial brands, extend the framework to include onboarding flows and product usage analytics, progressively enriching the analytical picture across the portfolio.
• Act as a cross-functional enabler: proactively unblock dependencies across Data Platform, Analytics, BI, and Marketing automation Engineering — bringing the seniority and breadth of experience to contribute meaningfully across all these domains without hand-holding.
• Collaborate with data tooling: work hands-on with the existing data stack (including Databricks, and BI/visualisation tools as required) and contribute to how data is modelled, structured and surfaced for business consumption.

Requirements

• 10+ years of experience in senior data and analytics roles — titles such as Lead BI Engineer, Head of Data, Head of Analytics, or equivalent.
• Proven track record of delivering end-to-end analytics projects independently, from requirements through to stakeholder-ready output.
• Strong business acumen: comfortable engaging with senior stakeholders, understanding commercial priorities, and framing data work in terms of business impact.
• Deep hands-on experience with BI and visualisation tools (e.g. Looker, Tableau, Power BI, self service BI tools, or similar), besides setting up context layers.
• Solid understanding of data modelling principles and experience working with modern data platforms (experience with Databricks is a plus).
• Familiarity with SaaS GTM tooling and metrics: experience working with platforms such as Amplitude, HubSpot, or equivalent marketing/product analytics tools.
• Experience working across multiple data domains simultaneously — BI, data engineering, marketing analytics, and product analytics.
• Strong communication and stakeholder management skills — able to present complex findings clearly to both technical and non-technical audiences.

Tech Stack

• Tableau
• Go

Benefits

• Everyone is welcome here.
• Diversity & Inclusion are at our core.
• Our commitment to caring for the environment and each other is at the heart of everything we do.