Analytics Engineer

Job Description

REQUIREMENTS

• 4+ years in a data role (Analytics Engineering and/or Data Science)
• Strong SQL skills, and comfortable working with large, complex datasets in dbt
• Strong communication and stakeholder management skills
• Experience with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve
• Detail-oriented and pragmatic, with a ‘no task too small’ attitude
• The right to work in the UK, UAE or US
  

Nice to have

• Experience in a high-pace context — e.g. startup or scale-up
• Experience with Python and/or R
• Experience leading cross-functional projects, or those involving big data

RESPONSIBILITES

• Own dbt models end-to-end — design, build and maintain the models in your domain, with the tests, documentation and schema coverage that keep them reliable and performant at scale.
• Lead special data projects — take on high-priority, cross-functional problems that span Finance, Compliance, Product and Markets, digging in from first principles to deliver trusted answers, owning problems end-to-end.
• Partner with teams across the business — from Product to Markets to Engineering – to ensure their domains are modelled correctly.
• Support business critical Finance and Compliance reporting — delivering the datasets behind month-end close and audit requests, and building the pipelines that make each cycle faster.
• Keep data trustworthy — build the tests, checks and alerts that surface issues before they become incidents.
• Use AI effectively — apply AI tools and agents across the modelling lifecycle, from accelerating dbt development to improving data quality.
• Contribute to our analytics community — peer-review code, share knowledge at weekly meetups, and help answer data questions from across the business.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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