Profectus Recruitment
Analytics Engineer
- Compensation
- Not disclosed
- Location
- London
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- Strong SQL skills and advanced Excel experience.
- Solid Power BI skills, including dashboard development and data modelling.
- Experience analysing complex datasets and delivering regular reporting.
- An interest in automation, process improvement and data quality.
- Exposure to Python, R or AI-driven solutions.
- Strong communication skills and excellent attention to detail.
- The ability to manage your own workload and take ownership of deliverables.
Full description
Analytics EngineerLondon | Hybrid Working | Permanent
Profectus Recruitment is partnering with an established organisation looking to strengthen its data and analytics function with the appointment of an Analytics Engineer.
This is a varied role for someone who enjoys getting hands-on with data, building useful reporting solutions and finding smarter ways to work. You'll have the opportunity to take ownership of key analytical projects, improve existing processes and help shape how data is used across the business.
The Role
- Develop interactive dashboards, reports and analytical models to support business decisions.
- Use SQL, Excel and Power BI to extract, interpret and present complex data.
- Identify opportunities to automate processes and improve reporting efficiency.
- Improve data accuracy, consistency and reliability across multiple datasets.
- Use Python, R and emerging AI technologies to enhance analytical capabilities.
- Work with teams across the business to turn data into actionable insight.
- Present findings clearly to both technical and non-technical stakeholders.
What We're Looking For
- Strong SQL skills and advanced Excel experience.
- Solid Power BI skills, including dashboard development and data modelling.
- Experience analysing complex datasets and delivering regular reporting.
- An interest in automation, process improvement and data quality.
- Exposure to Python, R or AI-driven solutions.
- Strong communication skills and excellent attention to detail.
- The ability to manage your own workload and take ownership of deliverables.
The Package
- 25 days' annual leave.
- Generous employer pension contribution.
- Private medical insurance and life assurance.
- Performance-related bonus.
- Hybrid working.
- Training budget and professional development opportunities.
- Additional wellbeing benefits, recognition schemes and paid volunteering leave.
Interested?
If you're looking for a role where you can combine technical analysis with practical problem-solving and make a genuine impact on how a business uses its data, we'd love to hear from you.