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. 

Alongside the core platform work, you'll automate manual processes that currently eat into the team's time, and help build and maintain our internal AI tooling. You'll also play a part in moving the team towards best practice on version control, testing, documentation and data design.

You'll work most closely with our Data Analytics Manager and two data analysts in the UK, and cross-functionally with Finance and S&OP here in PK on their more technical requirements. It's a small, flat team, which means high ownership and high visibility from the start: you'll see the impact of your work quickly, and there's substantial room to grow as the function scales.

You're a strong problem solver who breaks work down rather than getting stuck, and you're proactive — you spot the manual process that could be automated and raise it without being asked. You collaborate well, which matters when your closest teammates are in another country and your stakeholders sit across two offices. You're comfortable with ambiguity and you're a self-directed learner; a lot of what you need here can be picked up on the job if the aptitude and curiosity are there.

Experience with ELT and pipeline tools, Redshift, data modelling, or Python for automation would be an advantage, but we're just as interested in people with the fundamentals and the appetite to grow into the rest.

• Keep the ERP sync and its authentication running reliably and efficiently

• Maintain and optimise warehouse performance, using effective data modelling and materialisation strategies to keep queries fast

• Develop and maintain dbt models that feed trusted datasets into Power BI

• Automate manual data processes to cut operational overhead

• dbt models are documented, tested and trusted enough that teams treat the datasets they feed as the source of truth

• Warehouse query performance holds up or improves as data volumes grow

• Manual processes are measurably reduced, with time given back to the team

• Work is version-controlled and documented as standard, rather than as an afterthought

• Business requirements are translated into solutions that stakeholders actually adopt and use

• Technical debt in your areas of ownership is visibly reduced over time

• By the end of year one, you own a meaningful part of the platform independently and have delivered at least one improvement that came from your own initiative

• 1–3 years of experience in a relevant role. Fresh graduates with strong internship or project experience can be considered

• Solid SQL fundamentals, including joins, aggregations and window functions

• Hands-on exposure to dbt or a similar transformation tool

• Basic understanding of cloud data warehouses

• Familiarity with Git and Python, or a strong aptitude to learn both

Why work at Mous?

• Travel Allowance: Monthly support for daily commuting and work-related travel

• Medical Allowance: Monthly allowance for you and your dependents

• Long-Term Rewards: One month of paid leave after 5 years’ service

• Competitive Pay: A strong starting salary aligned with your experience and impact

• Dynamic Culture: A collaborative, high-performance, data-driven environment where innovation thrives

• Growth & Development: Opportunities to learn, stretch, and grow through new challenges

• Professional Development: Training budget plus regular Mousterclasses to share expertise across teams