SGI
Data Analytics Engineer
Data Analytics Engineer at SGI, based in London. This is a permanent role.
- Pay
- Not given by the employer
- Hours and contract
- Permanent · On site
- Location
- London
- Closing date
- Sector
- Data Analyst
Reference 643001560252028794
About the role
We're looking for an Analytics Engineer to help transform complex data into meaningful insight that supports financial inclusion, informed decision-making and public benefit.
About the Role
The Analytics Engineer plays a key role in developing and delivering high-quality analysis, reporting and insight across the organisation.
Alongside your analytical responsibilities, you will identify opportunities to automate processes, strengthen data quality controls and enhance reporting capabilities, helping the organisation make the most of its data assets.
What You'll Do
- Produce and develop analytical outputs, reports and statistical publications.
- Create dashboards and visualisations that support evidence-based decision-making.
- Analyse customer, market and operational data to generate actionable insights.
- Improve and automate reporting and analytical processes.
- Strengthen data quality controls and assurance processes.
- Support the development of new products, services and data-led initiatives.
- Explore opportunities to leverage AI and emerging technologies.
- Collaborate with stakeholders across and act as deputy to the Senior Data Analyst when required.
About You
You’ll be a curious and proactive analyst who enjoys solving problems, improving processes and turning data into meaningful insight.
Essential Skills and Experience
- Strong analytical and problem-solving skills.
- Advanced Excel and SQL skills.
- Experience using Power BI or similar visualisation tools.
- Experience working with complex datasets.
- Excellent communication and stakeholder management skills.
- Strong attention to detail and commitment to data quality.
- Ability to explain technical information clearly to non-technical audiences.
Desirable Skills and Experience
- Experience with Python, R or automation tools.
- Knowledge of AI or machine learning applications.
- Experience producing statistical or research publications.
- An interest in financial inclusion, public policy or economic research.
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
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Reference: 643001560252028794 · Posted 1 day ago · Closes 30 Nov 2026 · Listed via SGI
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