Our Business
team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; with a team of more than 3000+ experts serving its 3.5 million customers across Europe and beyond.
team.blue's brands are a mix of traditional hosting businesses, offering services from domain names, email, shared hosting, e-commerce and server hosting solutions and specialist SaaS providers offering adjacent products such as compliance, marketing tools and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.
Position Overview
We are looking for a highly experienced, hands-on Senior BI & Analytics Specialist to join our team. In this position you will act as the bridge between business stakeholders and our technical teams, owning projects end-to-end — from requirements gathering and data scoping, all the way through to report delivery and stakeholder presentation.
You will be part of the AI & Data function, reporting direclty to the Director of Analytics. You are expected to operate autonomously, remove roadblocks, and accelerate a set of high-priority strategic initiatives within our SaaS division, at the intersection of multiple teams - Data Platform, Analytics, BI, and Marketing automation Engineering, together with a broad group of senior Business stakeholders.
Key Responsibilities:
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. Leverage tools including Amplitude, HubSpot, and Databricks as appropriate.
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.
The engagement is structured around three prioritised workstreams:
OneView Dashboards — Build a unified KPI dashboard for our flagship SaaS brand, consolidating data from revenue, subscriptions, marketing campaigns, and traffic into a single coherent view. This is the immediate priority.
Onboarding & Product Usage Analytics — For brands where GTM enrichment is complete, extend analytics coverage to include onboarding performance and in-product behaviour, enabling a truly holistic view of the customer lifecycle
Required Experience & Skills:
10+ years of experience in senior data and analytics roles — titles such as Lead BI Engineer, Head of Data, Head of Analytics, or equivalent.
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.
Experience working across multiple data domains simultaneously — BI, data engineering, marketing analytics, and product analytics.
Right to Work
At any stage, please be prepared to provide proof of eligibility to work in the
country you’re applying for. Unfortunately, we are unable to support relocation
packages or sponsorship visas
"Come as you are"
Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.
ESG
"At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.”
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