Data Analyst - Orpington

Harnham is hiring a full-time Data Analyst to join a fast-growing subscription-based scale-up in Orpington, England. Offering a competitive salary between£50,000 and £60,000, this hybrid role requires three days per week in-office and is ideal for professionals with a strong background in analytics, SQL, and stakeholder engagement.

This opportunity places you at the heart of a business that partners with major high-street retailers to deliver rewards, competitions, and discounts to a rapidly expanding member base. If you're passionate about turning data into actionable insights and thrive in fast-paced environments, this role offers both challenge and growth.

About the Company

The organization is a consumer-focused subscription platform blending elements of e-commerce and entertainment. With established partnerships and ambitious growth plans, data is central to how the business operates-shaping decisions around customer engagement, product development, and commercial performance.

As part of the analytics team, you'll work closely with the Head of Data and collaborate across departments to deliver insights that drive strategic decisions.

Role Overview

As a Product Data Analyst, you'll be responsible for analyzing large datasets to uncover trends, optimize performance, and support business decisions. You'll design and maintain reporting tools, contribute to the analytics roadmap, and act as a bridge between technical data and commercial strategy.

This role requires a mix of technical proficiency, business acumen, and communication skills. You'll be expected to work cross-functionally with teams in marketing, product, and commercial operations.

Key Responsibilities

• Deliver insights across product usage, customer behavior, and commercial performance
• Design and optimize reporting and analytics solutions with the Head of Data
• Analyze large datasets to identify trends, opportunities, and engagement drivers
• Provide clear, actionable recommendations based on data analysis
• Collaborate with stakeholders across product, marketing, and commercial teams
• Translate complex data into business-relevant insights
• Support urgent data requests and contribute to long-term analytics strategy
• Maintain dashboards and reporting tools using Looker and BigQuery
• Participate in ETL processes and data audits to ensure accuracy and reliability

Required Skills and Experience

• 2-4 years of experience in analytics, ideally within e-commerce, subscription services, gaming, or other fast-paced industries
• Strong SQL skills with experience querying large datasets
• Proficiency in Python, Looker, and BigQuery
• Hands-on experience with ETL processes and dashboard development
• Strong communication skills and ability to present insights to non-technical stakeholders
• Commercial acumen and experience influencing business decisions
• Confidence in stakeholder management and cross-functional collaboration
• Location: Orpington, England
• Salary: £50,000 - £60,000 per year
• Contract Type: Full-Time, Permanent
• Posted: Reposted 3 days ago
• Recruiter: Christopher Tang, Business Intelligence Consultant at Harnham

Sponsorship Notice

Please note that this role cannot offer visa sponsorship at any stage. Applicants must have the right to work in the UK without requiring future sponsorship. Graduate or postgraduate visas that expire and require sponsorship will not be eligible.

Why This Role Matters

Data Analysts are essential to shaping business strategy in modern organizations. In this role, your insights will directly influence how the company engages with customers, develops products, and drives revenue. You'll be part of a team that values innovation, collaboration, and data-driven decision-making.

This is more than just a technical role-it's a chance to make a strategic impact in a company that's scaling rapidly and redefining customer engagement.

Who Should Apply

This role is ideal for:

• Mid-level data professionals seeking a hybrid role in a high-growth company
• Analysts with experience in e-commerce, gaming, or subscription platforms
• Candidates confident in SQL, Python, and Looker
• Individuals who enjoy translating data into business strategy
• Applicants with strong stakeholder management and communication skills

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