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.
From throwing phones off dams to launching category‑defining products, our ambition is simple: raise the standard of the industry and build one of the most effective consumer brands in the world.
About the Role
We’re looking for a highly analytical and commercially‑minded Data Analyst to join our fast‑growing team here 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), to champion 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. If you would like to join a collaborative, data‑driven team that values knowledge sharing, continuous improvement, and professional development, this role is for you!
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 not only detail‑oriented but also capable of seeing the bigger picture, 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 key performance indicators (KPIs) and objectives and key results (OKRs), enabling access to cross‑departmental data.
- 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 while 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 our data infrastructure at Mous.
- 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.