Data Analyst focusing on transforming data into strategic insights at V.tal. Collaborating with teams and leveraging tools like Power BI, Python, and SQL for impactful results.
About the role
- Data Analyst contributing to data-driven decisions at Vintage Cash Cow. Building insights and training stakeholders on self-service analytics with modern BI tools.
Responsibilities
- Get to know our BI stack and reporting infrastructure
- Meet key commercial and finance stakeholders and shadow existing reporting processes
- Review existing dashboards, data sources, and user feedback to identify early wins
- Build and optimise reports and dashboards in Sigma
- Collaborate with marketing, finance, and ops to translate business needs into data outputs
- Begin supporting teams with SQL-powered insights and reporting improvements
- Own and evolve core dashboards and reporting pipelines
- Champion self-service BI through stakeholder training and enablement
- Identify data gaps and lead initiatives to improve quality, accessibility, and usability
Requirements
- Solid SQL skills and experience building data models from scratch
- Proficiency in BI tools (ideally Sigma, but Power BI, Looker or similar also great)
- Confident working across departments to gather requirements and iterate on outputs
- Background in Business, Finance, or Data Analyst roles (or similar analytical fields)
- Curious, commercial mindset — you want to understand the “why” behind the data
- Exposure to natural language querying tools or approaches
- Previous experience improving or designing self-serve analytics environments
- Hands-on knowledge of modern data stacks and modelling approaches
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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