Experienced Analytics Engineer, Thredd

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Finance, or a related field
• Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments industry with issuer processors
• Proven experience in SQL,DBT and Snowflake
• Proficiency in building and managing data transformations with dbt, with experience in optimizing complex transformations and documentation
• Hands-on experience with Snowflake as a primary data warehouse, including knowledge of performance optimisation, data modeling, and query tuning
• Strong proficiency in data analysis tools and languages (e.g., SQL, Python)
• Strong understanding of data modeling principles and experience applying modeling techniques
• Proficiency with data visualisation tools such as Tableau, Power BI, or similar
• Knowledge of payment processing system, card issuance, and related services
• Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud)
• Familiarity with modern data architecture such as data Lakehouse
• Strong analytical, problem-solving, and communication skills
• Attention to detail and a commitment to data quality and integrity
• Familiarity with regulatory requirements and security standards in the financial industry

• As an Analytics Engineer specializing in the payments space, you’ll be at the forefront of analysing payment transaction data, uncovering trends, and optimizing card issuance operations
• Your work will directly shape strategic initiatives and improve business outcomes
• Analyse large datasets related to payment processing and customer transactions to uncover trends and actionable insights
• Develop dashboards and reports to track KPIs and support decision-making
• Work with stakeholders to understand data needs and provide insights through presentations and reports
• Deliver data-driven recommendations to support business objectives
• Build and optimise data pipelines using dbt, ensuring clean and accessible data
• Monitor data quality and implement validation processes in collaboration with data engineers
• Create scalable data models in Snowflake using dbt and identify opportunities for efficiency gains
• Optimize workflows and monitor system performance for continuous improvements
• Ensure data practices meet regulatory standards and assist in compliance reporting
• Stay updated on industry trends and contribute to process enhancements

• 25 Days annual leave
• Option to buy 5 days annual leave
• Pension scheme
• Private Medical
• Life Insurance
• Green Car Scheme
• SmartTech
• Volunteer time
• Season Ticket Loan
• Cycle to work Scheme
• Long Service Awards
• Retail Discounts
• Tax-Free Childcare Vouchers
• Flu Vaccinations
• Flexible benefits (Better you fund, Revitalise you Fund, Money Coach, Expanded Private Medical, Critical Illness)

Total funding: $449.9m

Embedded banking, or Banking-as-a-Service, has been a major driver of the fintech explosion. It allows challengers and smaller players to rapidly incorporate novel financial products and infrastructure without building from scratch - and major players to keep pace with increasing consumer demand for fintech services. Thredd (formerly Global Processing Services) focuses on paytech, with a tranche of services including major areas like payments, wallets, fraud prevention, and crypto management.