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For Companies At a Glance
- Tasks: Analyse complex datasets and turn questions into clear, data-driven insights.
- Company: Fast-scaling data tech company working with major media and marketing names.
- Benefits: Competitive salary, 25 days holiday, pension, and flexible working options.
- Why this job: Join a high-growth environment and make impactful decisions with data.
- Qualifications: 2+ years in data analysis, strong SQL skills, and excellent communication.
- Other info: Dynamic role with opportunities for professional growth and client engagement.
The predicted salary is between 34000 - 46000 £ per year.
Job Description
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
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Analyse large, complex datasets to uncover trends and guide decision-making.
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Translate ambiguous business questions into clear, metric-driven insights.
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Build and present concise data stories to internal and external stakeholders.
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Support compliance efforts with robust monitoring and analysis.
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Develop lightweight automation to improve internal reporting and processes.
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Provide insights on marketing/media data to identify performance issues.
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Join client meetings to explain analytics in a clear, confident manner.
Skills & ExperienceEssential:
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2+ years' experience in a data analyst or similar role.
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Strong SQL skills – confident working with complex data structures.
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Excellent communication skills, able to engage technical and non-technical stakeholders.
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Self-starter who thrives in ambiguous situations.
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Ability to prioritise and manage open-ended requests.
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Strong analytical mindset with commercial awareness.
Desirable:
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Python for analysis and automation.
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Experience with technical data (servers, VPNs, compliance).
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Familiarity with marketing/media datasets.
Interview Process
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Initial 30-minute chat with hiring manager.
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Take-home technical task (data analysis + presentation prep).
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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.
KeywordsData Analyst, SQL, Python, GA4, Product Analytics, Marketing Analytics, Customer Analytics, Behavioural Data, Stakeholder Engagement, Data Storytelling, Compliance, Media, Marketing, Research, Manchester, Hybrid.
Product Data Analyst employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for your interviews by practising common data analysis questions and scenarios. We recommend simulating the interview environment with a friend or using online resources to boost your confidence.
✨Tip Number 3
Showcase your skills through a portfolio of projects or case studies. This is your chance to demonstrate your analytical prowess and how you can turn complex data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets noticed and shows your enthusiasm for joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Product Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Product Data Analyst. Highlight your SQL skills and any experience with data storytelling, as these are key for us. Don’t just list your duties; show how you’ve made an impact in previous roles!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your experience aligns with our needs. Be sure to mention your analytical mindset and ability to engage with both technical and non-technical stakeholders.
Showcase Your Projects: If you’ve worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to analyse complex datasets and present insights. This will give us a taste of what you can bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific datasets you've worked with. Be prepared to explain how you analysed them, what insights you derived, and how those insights influenced decision-making.
✨Master SQL and Prepare for Technical Questions
Since strong SQL skills are essential for this role, brush up on complex queries and data manipulation techniques. Practise common SQL interview questions and be ready to demonstrate your problem-solving approach during the technical task.
✨Craft Your Data Story
Think about how you can present your findings in a clear and engaging way. Prepare a concise data story that showcases your ability to translate complex data into actionable insights, as this will be crucial when presenting to stakeholders.
✨Showcase Your Communication Skills
During the interview, focus on your ability to engage both technical and non-technical audiences. Practise explaining your analysis in simple terms, and be ready to discuss how you’ve successfully communicated insights in previous roles.
