Key Responsibilities

• Architecture & Engineering: Design, build, and maintain a robust data warehouse. Oversee the ingestion of varied and complex datasets at scale.
• Schema Design: Collaborate closely with Data Engineers and BI Analysts to design, implement, and optimize data warehouse schemas.
• Dashboard & Visualisation Design: Architect, build, and maintain user-friendly dashboards and complex data visualisations that effectively surface critical business metrics and actionable insights for stakeholders.
• Data Quality & Automation: Champion data quality across the organization. Implement data automation pipelines to ensure accuracy, reliability, and timeliness of data.
• Data Governance & Management: Drive improvements in data governance, ensuring best-in-class data management practices are upheld across the business.
• Stakeholder Collaboration: Act as a strategic partner to the business. Communicate complex technical concepts clearly to all levels of the organization, including the C-suite, to promote data-driven decisions.
• Mentorship & Leadership: Mentor other BI Analysts, actively upskilling the team in technical competencies and best practices.

Required Skills & Qualifications

• Expert SQL: Master-level proficiency in writing, optimizing, and troubleshooting complex SQL queries.
• Programming Skills: Strong programming skills in Python (or a similar) for data manipulation and automation.
• Data Warehousing: Deep knowledge of modern database and data warehouse design principles and architectures.
• BI Tooling: Extensive experience with industry-leading BI tools such as Tableau or similar.
• Version Control: Solid experience using source control, such as Git, for managing code and collaborating with technical teams.
• Exceptional Communication: Outstanding verbal and written communication skills, with the proven ability to translate highly technical concepts for both technical and non-technical leadership

Desirable Skills (Nice-to-Haves)

• Data Ingestion & ETL/ELT: Experience using ingestion tooling and orchestration platforms to build and manage automated data pipelines.
• Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift).
• Additional Programming: Knowledge of C# and experience working within a .NET environment.
• AI Tooling: Experiencing utilising AI-assisted development tools, such as Github Copilot, or integrating AI capabilities into data workflows with a clear understanding of their strengths and limitations.
   

Trayport is committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide accommodations for applicants and employees who require it.