About This Role
An Analytics Engineer helps transform complex data into meaningful insights that support financial inclusion, informed decision-making, and public benefit. This role involves producing analysis, research, and reporting using one of the UK's most unique datasets, while also improving data quality, automation, and analytical capability across the organization. It is an opportunity to combine technical expertise with purpose, working closely with colleagues to drive insight, innovation, and continuous improvement.
Responsibilities
- Produce and develop analytical outputs, reports, and statistical publications
- Create dashboards and visualizations that support evidence-based decision-making
- Analyze 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 the organization and act as deputy to the Senior Data Analyst when required
Requirements
- Strong analytical and problem-solving skills
- Advanced Excel and SQL skills
- Experience using Power BI or similar visualization 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
Nice to have:
- 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
Benefits
- 25 days annual leave
- 10% employer pension contribution
- Private Medical Insurance
- Life Assurance (4x salary)
- Performance-related bonus scheme
- Employee benefits platform
- Annual health checks
- Flu vaccinations
- Eye tests and contribution towards glasses
- One paid volunteering day each year
- Learning and development opportunities with a generous training budget
- Length of service awards
- Quarterly staff recognition awards
- Social and team-building events
- Flexible and hybrid working
Important Details
- Schedule: 35 hours per week
- Contract: permanent
- Accountable to: Senior Data Analyst
- Work format: Hybrid (staff are required to attend the central London office at least once a week, or more depending on business demands)
About the Company
At Registry Trust, public data should deliver public benefit. The company transforms complex data into meaningful insight that supports financial inclusion, informed decision-making, and public benefit.
