Data Analyst
If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information.
Location: Manchester (Trafford Park, near MediaCity) – Hybrid (2 days in office)
Salary: £40,000–£55,000 + benefits (25 days holiday, pension, flexible working)
Start Date: ASAP
The Company
A fast-scaling data technology business working with major names in media, marketing, and research. They provide behavioural data from real devices, enabling evidence-based decisions at scale. With rapid growth underway, the business is building out a central analytics function to support both internal teams and external clients.
The Role
This is a hands-on data analyst role with broad exposure to product, technical, and commercial teams. You’ll work directly with stakeholders, taking half-formed questions and turning them into clear, data-led answers. From uncovering churn metrics to evaluating server performance or understanding how VPNs impact user experience, you’ll be the go-to person for actionable insight in a high-growth environment.
Key Responsibilities
* Analyse large, complex datasets to uncover trends and guide decision-making.
* Translate ambiguous business questions into clear, metric-driven insights.
* Build and present concise data stories to internal and external stakeholders.
* Support compliance efforts with robust monitoring and analysis.
* Develop lightweight automation to improve internal reporting and processes.
* Provide insights on marketing/media data to identify performance issues.
* Join client meetings to explain analytics in a clear, confident manner.
Skills & Experience
Essential:
* 2+ years’ experience in a data analyst or similar role.
* Strong SQL skills – confident working with complex data structures.
* Excellent communication skills, able to engage technical and non-technical stakeholders.
* Self-starter who thrives in ambiguous situations.
* Ability to prioritise and manage open-ended requests.
* Strong analytical mindset with commercial awareness.
Desirable:
* Python for analysis and automation.
* Experience with technical data (servers, VPNs, compliance).
* Familiarity with marketing/media datasets.
Interview Process
* Initial 30-minute chat with hiring manager.
* Take-home technical task (data analysis + presentation prep).
* Final in-person interview (2 hours): culture fit, presentation, and technical deep dive with hiring team.
How to Apply
Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to learn more.
Keywords
Data Analyst, SQL, Python, GA4, Product Analytics, Marketing Analytics, Customer Analytics, Behavioural Data, Stakeholder Engagement, Data Storytelling, Compliance, Media, Marketing, Research, Manchester, Hybrid.