Data Analyst - UK

About Mous

We are Mous. (Pronounced mouse, not moose.) People deserve tech and lifestyle products that are fit for purpose, perform as promised, and empower them to be their best. That’s why we’re building the go-to brand for products that genuinely deliver. For over 10 years, we’ve pushed product performance to its limits, designing from first principles, validating through real-world testing, and investing millions in R&D. In parallel, we’ve built world-class in‑house marketing capabilities, creating highly engaging, performance‑led content that proves what our products can do and resonates with a passionate, fast‑growing community around the brand.

About the Role

We’re looking for a highly analytical and commercially‑minded Data Analyst to join our fast‑growing team in the UK. This is a high‑impact role sitting at the intersection of data, strategy, and business performance, with the opportunity to accelerate your growth by owning key projects and taking on increasing responsibility as you drive measurable results. You’ll be at the forefront of turning complex datasets into clear, actionable insights that directly influence decision‑making across the company. You’ll work closely with cross‑functional teams (Growth, Product, Marketing, and Leadership), championing the use of data across the business to identify what’s working, what isn’t, and where the biggest opportunities lie. This role is designed for someone who wants ownership early, thrives in a fast‑paced environment, and is excited to see the tangible impact of their work on business performance.

About You

As a Data Analyst at Mous, you’ll possess a unique blend of commercial prowess, problem‑solving skills, and a passion for data‑driven decision making. You are detail‑oriented, able to see the bigger picture, and adept at transforming complex data sets into actionable insights. Your adaptability and desire to continuously learn make you an ideal candidate for navigating the dynamic landscape of eCommerce. A collaborative team player, you excel at communicating complex data findings in a clear, concise manner, making data accessible to all levels of the company. You will be pivotal in understanding and addressing the data needs of various departments, including Ecommerce, Pricing, and Growth. Your role will be multifaceted, from conducting thorough analyses and developing insightful dashboards to driving operational efficiencies and leading projects. You will be at the forefront of promoting a data‑driven culture, empowering the organisation through informed decision‑making and self‑sufficient data management.

Key Responsibilities

• Conduct comprehensive data analysis to support business decision‑making, identifying trends, patterns, and insights.
• Build and refine dynamic dashboards to monitor KPIs, OKRs, and enable cross‑departmental data access.
• Proactively identify areas for improvement within the company's processes and systems and implement automated solutions.
• Lead and support strategic cross‑department initiatives to drive value (e.g. Pricing Optimisation, Segmentation Analysis, Marketing Mix Modelling).
• Support in building out fundamental data sources, to allow analysis of data from multiple key platforms.
• Communicate insights and present key findings to relevant stakeholders, acting as a point of call for data‑related questions.

How will success be measured?

• Delivering clear, actionable insights that directly influence business decision‑making.
• Developing a strong understanding of Mous’s data infrastructure.
• Building high‑quality, durable dashboards and data models that improve access to cross‑departmental data.
• Proactively identifying and resolving opportunities and inefficiencies.
• Collaborating effectively across teams, acting as a trusted point of contact and champion of best data practices.

Skills requirements

• 0‑2 years of experience in a data‑related role, or relevant higher education/qualifications.
• A demonstrable commercial understanding with the ability to value and prioritise work ruthlessly.
• A knack for numbers with the confidence to tackle and interpret large, complex data sets.
• Experience in SQL, Excel and a dashboarding tool (PowerBI preferred).

• Strong problem solver – never afraid to get stuck into the detail to uncover insights.
• Strong communication skills, able to translate insights clearly for technical, non‑technical, and senior stakeholders, while effectively managing both internal teams and external partners.

• Experience with DBT for analytics engineering.
• Data modelling skills to structure and optimise datasets.
• Proficiency in Python for data analysis and automation.
• Familiarity with R for statistical analysis and reporting.
• Experience working within a D2C or consultancy environment.

Our Offer

We operate a hybrid working model, typically spending at least three days a week in our Hoxton office to maintain our collaborative and high‑energy culture. Benefits include:

• Significant opportunity for growth, ownership, and career progression.
• Competitive salary reflective of experience and impact.
• 30% Friends & Family discount on all Mous products.
• 25 days’ holiday + 8 bank holidays.
• 1 month paid leave after 5 years’ service.
• Cycle to Work Scheme.
• Charlie HR perks and discounts.
• Regular socials, events, and on‑site activities (including an on‑site gym).

Our Values

• Get Results – We take accountability, prioritise impact, and push standards higher.
• Work Together – We collaborate openly, challenge constructively, and learn from each other.
• Enjoy the Ride – We stay agile, embrace change, and enjoy building something special together.

About Our Commitment

Mous is an equal opportunity employer. We celebrate individuality and are committed to building a diverse team with a wide range of experiences, perspectives, and backgrounds.