The Role
We’re on the lookout for a sharp, proactiveData Analystto take ownership of our Business Intelligence function, primarily withinTableau,and serve as the key bridge between ourdata engineering teamandbusiness stakeholdersacross Go-to-Market, Finance, and Product.
This isn’t your typical “churn out dashboards” kind of role. We want someone who not only delivers insights but also helps empower others across the business to access and interpret data themselves - driving a shift from centralised requests to moreself-serve capabilities.
You’ll sit within ourOperations team, collaborating closely with our Data Engineering and Revenue Operations teams, and play a critical role in unlocking better, faster decisions through clean, accessible data.
Responsibilities
Own and evolve our Tableau environment: from data modelling through to dashboard creation, governance, and best practices. Be the go-to person for BI—serving as the bridge between technical data engineering and non-technical business users. Work with stakeholders across GTM (marketing, sales and customer success), Product and Finance to translate business questions into analytical solutions. Identify common reporting pain points and proactively design scalable solutions. Champion and grow our power user network—You’ll help us grow a culture of data self-sufficiency, enabling our teams to tweak and build their own dashboards with confidence—reducing dependency and unlocking agility. Maintain documentation, training materials, and guides to support data literacy and self-sufficiency. Ensure data accuracy and consistency across all dashboards and reports. Collaborate with the data engineering team to improve data pipelines and optimise source data for analysis.
Requirements
Proven experience in a BI-focused data role, ideally within a tech or SaaS environment. Ability to understand and communicate SaaS financial terminology Strong hands-on skills with Tableau (or a comparable enterprise BI tool), including dashboard creation, performance tuning, and data modelling. Proficient in SQL, Python and TypeScript, with solid knowledge of key data libraries. You should understand how source systems feed into BI tools and how to manage that flow effectively. A sharp analytical mind with strong commercial awareness—this role is all about uncovering insights that drive business decisions. A clear and confident communicator who can translate complex data concepts into simple, actionable language for non-technical audiences. Experience in reviewing tech stack - recommending and rolling out improvements Passionate about empowering others with data—you’re not just delivering reports, you’re enabling smarter decisions across the business. Experience working with cloud data warehouses ( Redshift, BigQuery, Snowflake) is a definite plus. A meticulous eye for detail and a high bar for data accuracy.
Bonus Skills
Experience delivering Tableau training or building enablement materials. Familiarity with dbt, Power BI, Looker Studio, or other modern data stack components. A background in operational analytics or GTM performance reporting.
