Negotiable
Undetermined
Hybrid
Glasgow, Scotland, United Kingdom
Summary: The Data Analyst – Payments & Ledger role focuses on analyzing data within Payments and Ledger systems, specifically utilizing OMNI and ODS platforms. The position requires strong expertise in data flows and transformation processes, along with the ability to collaborate with various stakeholders in an Agile environment. The role is based in Glasgow and offers a hybrid working arrangement. Proven experience in large data platforms is essential for success in this position.
Key Responsibilities:
- Analyze data within Payments and Ledger systems.
- Work with Operational Data Store (ODS) or similar enterprise data architectures.
- Translate business requirements into technical specifications and user stories.
- Collaborate with Product Owners, stakeholders, and technical teams.
- Ensure data governance, quality, and compliance frameworks are adhered to.
- Validate and analyze data using SQL and data querying skills.
Key Skills:
- Data Analysis
- Operational Data Store (ODS)
- Payments
- Data modeling
- Jira
Salary (Rate): undetermined
City: Glasgow
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
I am hiring for Data Analyst – Payments & Ledger (OMNI / ODS Platforms) Location: Glasgow - Hybrid / 2-3 days Per week in Office Proven experience as a Data Analyst, preferably within large and complex data platforms Strong domain expertise in Payments and Ledger systems (mandatory) Experience with Operational Data Store (ODS) or similar enterprise data architectures Strong understanding of data flows, data lineage, and transformation processes Ability to translate business requirements into technical specifications and user stories (Agile/Scrum) Experience working with Product Owners, stakeholders, and technical teams Familiarity with data governance, data quality, and compliance frameworks Nice to Have Experience in financial services or regulated environments Exposure to data modeling (logical and physical) Understanding of APIs, event-driven architectures, or streaming data concepts Experience with Agile tools (e.g., Jira, Confluence) SQL and data querying skills for validation and analysis Key Skills: Data Analysis / Operational Data Store (ODS) / Payments / Data modeling / Jira