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This is a remote position.
Remote, but with occasional meetings and events in London and/or Sheffield
Our client is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions. With programmes running across the UK and Europe, they are expanding their team to support large-scale data science and modelling initiatives. They are looking for a Software Engineer specialising in Analytics & Insights to design and build enterprise analytics products. The role focuses on developing high-quality datasets, dashboards and analytical tools that help business stakeholders make better decisions using data.
This job is at the cutting edge of integrating AI into data analytics. You will need to be able to use AI to cut workload in terms of building dashboards etc, to free up more time for analysing data and gaining the insights behind it.
Our client's preference is to have someone based a reasonable commute from either Sheffield or London. However, most of the work can done remotely so outstanding candidates in other UK locations can be considered, and any travel for meetings and events can be expensed.
Design and build analytics datasets and semantic layers for enterprise reporting
Develop dashboards and analytical products used by business stakeholders
Translate business questions into measurable metrics, dashboards and insights
Design reusable analytics assets such as curated datasets, metrics frameworks and analytical models
Implement CI/CD pipelines for analytics workflows
Work with enterprise data platforms to deliver scalable analytics solutions
Ensure strong data quality, governance and lineage practices
Use AI-assisted tools and LLMs to accelerate analytics workflows, documentation and insight generation
Strong SQL and data modelling skills
Experience building analytics datasets and semantic layers
Hands-on dashboard development using Tableau, Power BI, Looker, ThoughtSpot or similar tools
Experience with enterprise data platforms such as Snowflake, Databricks or BigQuery
Proficiency in Python or similar scripting languages for analytics, automation or data manipulation
Experience implementing CI/CD pipelines using Git, automated testing and deployment pipelines
Understanding of enterprise data governance, lineage and data quality practices
Strong ability to translate business questions into metrics, dashboards and actionable insights
Experience designing reusable metrics frameworks or analytical models
Experience working in large enterprise data environments
Experience using LLMs or AI-assisted tools to accelerate analytics workflows
Experience building analytics products directly for business stakeholders
Analytics Engineer or BI-focused Software Engineer
Comfortable working between data engineering and business analytics
Able to translate complex enterprise data into clear dashboards and insights
Strong communication skills with both technical and non-technical stakeholders
Unfortunately our client is unable to sponsor work visas, either now or in the future.
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