Product Data Analyst

Data AnalystLocation: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 CompanyA 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 RoleThis 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 & ExperienceEssential:

• 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 ApplySend your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to learn more.