Senior Feature & Data Analyst (AWS & SQL)

In brief

**Overview** This role is for an experienced Senior Feature & Data Analyst at Praesignis, working with their client in the banking industry. The position focuses on supporting strategic Data & AI initiatives. The ideal candidate will leverage 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. **What you will do** * 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. **Requirements (from the original advert)** **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. **Who should apply** This role is suitable for an experienced professional with a strong background in data and feature analysis, ideally with at least 8 years of overall experience and 5 years specifically in Business or Feature Analysis. Candidates should possess a relevant Bachelor's degree and an AWS Cloud Practitioner certification, along with hands-on experience in advanced SQL and AWS cloud data platforms. A proven ability to engage with senior stakeholders and experience in Agile delivery and data-intensive projects is essential. Ideal candidates may also have advantageous experience in Capital Markets or Global Markets, knowledge of financial products such as Foreign Exchange, interest rates, equities, credit, or traded financial products, exposure to trading systems, Treasury, or regulatory reporting, and experience with data migration, enterprise data governance, and Power BI. **Deadline** Not specified **Reference** Original posting: https://www.myjobmag.co.za/job/senior-feature-data-analyst-aws-sql-praesignis Source: myjobmag

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

• At least 8 years of experience.

• SQL
• AWS
• Power BI
• Agile / Scrum

Extracted automatically from the advert; confirm requirements on the original listing.

Job description

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