Negotiable
Undetermined
Hybrid
Glasgow, Scotland, United Kingdom
Summary: The Business & Data Analyst role focuses on payments and change delivery within the financial services sector, requiring expertise in data analysis, ETL processes, and solution architecture. The position demands experience in Agile environments and proficiency in tools like JIRA and Confluence. Candidates should possess advanced skills in Microsoft Excel and PowerPoint, along with a foundational knowledge of SQL and programming languages such as R or Python. Familiarity with data protection regulations and risk management frameworks is also essential.
Key Responsibilities:
- Conduct business and data analysis in financial services, focusing on payments.
- Utilize ETL and BIW technologies for data sourcing and processing.
- Engage in requirements elicitation, process modeling, and data validation.
- Work within Agile environments using tools such as JIRA and Confluence.
- Perform data modeling, cleansing, and enrichment tasks.
- Ensure compliance with data protection regulations, including GDPR.
- Collaborate with stakeholders to understand and implement risk management frameworks.
Key Skills:
- Data Analysis
- Payments
- ETL
- Python
- Data protection
- JIRA
- Confluence
Salary (Rate): undetermined
City: Glasgow
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
I am hiring for Business & Data Analyst – Payments & Change Delivery
Location: Glasgow - Hybrid / 2-3 days Per week in office
Experience in Business/Data Analysis in financial services. Strong background in payments, data sourcing, ETL, and BIW technologies. Deep understanding of solution & data architecture. Proven experience in requirements elicitation, process modelling, and data validation. Experience working within Agile environments and tools such as JIRA and Confluence. Expertise in Microsoft Excel and PowerPoint (Advanced level). Desirable: SQL and basic knowledge of R or Python. Knowledge of data protection regulations, including GDPR and industry-specific compliance. Experience in data modelling, cleansing, and enrichment. Familiarity with risk management frameworks within financial institutions.
Key Skills: Data Analysis / Payments / ETL / Python / Data protection / Jira / Confluence