Data Analyst

Company overview

This opportunity is with a rapidly expanding scale-up that relies on data to make sharper decisions and accelerate growth. The role is being handled by an AI recruiter on behalf of a partner organisation, and shortlisted candidates will be chosen from a candidate network.

Role summary

As a Data Analyst, you will support better business decisions by turning data into useful insight. Your work will include analysing datasets, creating dashboards, and producing reports that help teams across the business understand performance and spot opportunities. You will collaborate with product, marketing, and commercial colleagues to interpret results and turn findings into practical recommendations.

You will also contribute to improving how data is captured, maintained, and used so that internal teams can rely on stronger, more accurate information when planning strategy.

Key responsibilities

• Examine datasets to uncover trends, patterns, and areas where the business can grow.
• Create dashboards and reporting outputs that monitor important business metrics.
• Partner with stakeholders across departments to respond to data-related questions.
• Turn complicated findings into straightforward insights and clear next steps.
• Use SQL to query databases and retrieve the information needed for analysis.
• Assist with experimentation and performance review for marketing and product activity.
• Support data accuracy and help refine internal data workflows and processes.
• Share insights and recommendations with internal teams and decision-makers.

Candidate profile

The hiring team is seeking someone with 2 to 4 years of experience in data analysis or a similar analytics position. Strong problem-solving ability, a curious mindset, and close attention to detail are important for success in this role. You should also be comfortable working with large datasets or multiple data sources.

In addition, you’ll need solid working knowledge of Excel, SQL, and data analysis tools, along with experience using visualisation platforms such as Tableau, Power BI, or Looker. Clear communication is essential, especially when explaining technical findings to non-technical audiences.

A bachelor’s degree in data, statistics, economics, mathematics, computer science, or a closely related subject is preferred, though equivalent practical experience will also be considered.

Application note

Applicants are expected to submit a CV for consideration.