Senior BI & Analytics Specialist

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team.blue

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🛍️ eCommerce

SaaS • eCommerce • Technology

team. blue is a leading digital enabler for companies and entrepreneurs, serving over 3. 3 million customers across Europe. With a team of more than 2000 experts, they provide innovative digital services aimed at empowering businesses through technology. team. blue operates a variety of brands and focuses on delivering excellent customer experiences.

📋 Description

• 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.

🏖️ 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.