Senior Feature & Data Analyst (AWS & SQL) at Praesignis

Job Description

• Our client in the banking industry is seeking an experienced Senior Feature & Data Analyst to support strategic Data & AI initiatives. The successful candidate will combine Business Analysis, Feature Analysis and Data Analysis skills to translate business requirements into technical solutions, investigate data using SQL and AWS cloud services and support Agile delivery teams.

Key Responsibilities

• Gather, analyse and document business, functional and data requirements.
• Develop features, user stories, acceptance criteria and business rules.
• Perform hands-on data analysis, profiling and investigation using advanced SQL.
• Analyse cloud-based data using AWS services such as Amazon S3, AWS Glue and Amazon Athena.
• Develop source-to-target mappings and support data modelling, data lineage and data governance.
• Assess data quality, investigate discrepancies and perform root-cause analysis.
• Document current-state and future-state processes, data flows and transformation requirements.
• Support data migration, remediation, testing, UAT and implementation activities.
• Collaborate with Product Owners, Architects, Data Engineers, Developers and business stakeholders.
• Participate in Agile ceremonies, backlog refinement, sprint planning and delivery reviews.
• Maintain requirements documentation, data dictionaries and traceability records.

Minimum Requirements
Qualifications

• Bachelor's degree in IT, Computer Science, Information Systems, Data Management, Engineering, Mathematics or a related field.
• AWS Cloud Practitioner certification.

Experience

• Minimum 8 years of professional experience.
• At least 5 years of Business Analysis or Feature Analysis experience.
• Hands-on Data Analysis experience, including SQL-based investigation and profiling.
• Experience working with AWS cloud data platforms or equivalent cloud environments.
• Experience in Agile delivery and data-intensive technology projects.
• Proven ability to engage senior business and technical stakeholders.

Technical Skills

• Advanced SQL and data profiling.
• AWS data services, particularly Amazon S3, AWS Glue and Amazon Athena.
• Data warehousing and modern data architecture.
• Source-to-target mapping, data modelling and transformation rules.
• Data quality, reconciliation, lineage and governance.
• APIs, system integration and reporting concepts.
• Jira and Agile delivery tools.

Advantageous Experience

• Capital Markets or Global Markets experience.
• Knowledge of Foreign Exchange, interest rates, equities, credit or traded financial products.
• Exposure to trading systems, Treasury or regulatory reporting.
• Experience with data migration, enterprise data governance and Power BI.