[Hiring] BI & Analytics Engineer @Neosurf

Role Description

The BI & Analytics Engineer will be responsible for running, maintaining and developing the Company's reporting capabilities, analytical data models and business process automations. This is a hands-on individual contributor role focused on technical execution and delivery. Working closely with the Data & Analytics Engineer, the successful candidate will:

• Transform warehouse data into trusted Snowflake analytical models.
• Develop intuitive Power BI dashboards.
• Maintain business-critical Power Automate workflows.

The role requires a blend of technical expertise, analytical capability and stakeholder engagement, enabling the delivery of reliable reporting, actionable insights and practical automation solutions across commercial, compliance, operational and leadership teams.

Qualifications

• 5+ years' hands-on experience in business intelligence, analytics engineering, data analysis or data modelling.
• 5+ years' hands-on Power BI experience: advanced data modelling, DAX, dashboard design, user experience and workspace deployment for business-critical reporting.
• 3+ years' hands-on SQL experience: complex queries, reporting views, performance optimisation and troubleshooting.
• 2+ years' hands-on experience with Snowflake or equivalent cloud data warehouses, such as BigQuery or Redshift.
• Strong capability building, monitoring and supporting operational workflows in Power Automate or equivalent tools.
• Significant experience maintaining audit-ready datasets, reconciling figures and investigating data quality issues and anomalies.
• Strong documentation skills across data definitions, transformation logic and technical guidance.
• Strong stakeholder management and communication skills, explaining technical concepts clearly to non-technical audiences.
• Ability to turn business requirements into reliable reporting, analytical models and automation solutions.
• Ability to deliver technical work independently and collaborate across commercial, compliance and operational teams.

Requirements

• Experience within fintech, payments, or other regulated financial services environments.
• Practical exposure to Python for data extraction or analysis.
• Exposure to modern transformation tools (e.g., dbt) or data pipeline scheduling.
• Familiarity with Salesforce and CRM data structures.
• Experience with practical machine learning or AI automation use cases in a business setting.

Benefits

• 25 days' annual leave
• Birthday holiday when it falls on a working day
• Company pension scheme
• Life insurance
• Private medical insurance with Vitality, including additional member benefits
• Additional wellbeing support
• Assistance with parking costs
• Regular team events and social activities

Company Description

We are committed to equal opportunities and an inclusive workplace where everyone is treated with dignity and respect. We welcome applications from people of all backgrounds and value the different perspectives, skills and experiences they bring to our team.