Senior Analytics Engineer

Join Our Team as a Senior Analytics Engineer!
Are you passionate about turning complex data into actionable insights? Do you thrive on solving problems and enabling data-driven decision-making in the dynamic world of payments? If so, we want to hear from you!
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.
Key Responsibilities

• 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.

Qualifications

• Proven experience as a Senior Analytics Engineer, preferably in the payments industry 
• Highly proficient in Data Build Tool (DBT) 
• Extensive experience in building and managing data transformations with dbt, with experience in optimising complex transformations and documentation. 
• Hands-on experience with popular Cloud data-warehouses such as Snowflake or Redshift, including knowledge of performance optimisation, data modeling, and query tuning. 
• Highly Proficient 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. 
• Strong understanding and proven experience of working 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.  
• Relevant professional certification (e.g., AWS Data Analyst, Microsoft Certified: Azure Data Engineer Associate) is a plus. ​  ​  

A bit about us
Thredd is the trusted next-gen payments partner for innovators looking to modernise their payments offering. Certified by Mastercard, Visa and Diners & Discover, we process billions of debit, prepaid, and credit transactions annually, supporting consumer and corporate fintechs, digital banks, and embedded finance providers across the globe. Our unique offering is our client-centric approach, combining hands-on support with modern, reliable, and scalable technology. Our assured solution accelerates the development and delivery of consumer and corporate payments components embedded within digital banks, as well as for expense management, B2B payments, crypto, lending, credit, Buy Now Pay Later, FX, remittance, and open banking innovators.