Data Analyst

ScreenCloud; London; On-site; GBP 45,000 - 65,000; Full time

Job summary

A dynamic tech company in London is seeking a proactive Data Analyst to enhance the Business Intelligence function within Tableau. The role involves bridging data engineering and business stakeholders, focusing on empowering teams with self-serve insights. Ideal candidates will have strong experience with Tableau and a knack for translating complex data into actionable insights.

Qualifications

• Proven experience in a BI-focused data role, ideally in a tech or SaaS environment.
• Strong skills with Tableau for dashboard creation and performance tuning.
• Proficiency in SQL, Python and TypeScript with knowledge of data libraries.

Responsibilities

• Own and evolve our Tableau environment from data modeling to dashboard creation.
• Serve as the bridge between technical data engineering and non-technical business users.
• Work with stakeholders to translate business questions into analytical solutions.

Skills

Tableau expertise

SQL proficiency

Python programming

TypeScript knowledge

Data analysis and interpretation

Strong communication skills

Tools

Tableau

SQL

Python

TypeScript

DBT or similar

Power BI

Job description

The Role

We’re on the lookout for a sharp, proactive Data Analyst to take ownership of our Business Intelligence function, primarily within Tableau, and serve as the key bridge between our data engineering team and business stakeholders across 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 more self-serve capabilities.

You’ll sit within our Operations 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 (e.g. 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.