Description:
A Senior Technical Data Analyst is required to support data-driven initiatives within a dynamic banking environment. The ideal candidate will bring strong analytical expertise, hands-on technical skills, and experience working with cloud platforms (especially AWS) and data governance tools such as Ataccama. This role will work closely with data engineers, architects, business analysts, and compliance teams to deliver high-quality data solutions that support business operations, regulatory reporting, and strategic decision-making.
Duties / Responsibilities:
Analyse, profile, and interpret complex data sets from multiple systems to support reporting, analytics, and data quality initiatives. Collaborate with stakeholders to understand data requirements, document data flows, and support solution design. Perform data discovery and data lineage analysis across structured and semi-structured sources. Use Ataccama to support data profiling, data quality monitoring, rule definition, and metadata management. Work with AWS data services (e.g., S3, Glue, Redshift, Athena, RDS) for data integration and transformation tasks. Develop and maintain SQL queries and scripts for validation, transformation, and reporting purposes. Assist in the implementation of data quality frameworks and contribute to the development of data governance practices. Support data migration and data mapping efforts, ensuring accurate translation of legacy systems into modern platforms. Create and maintain technical documentation, data dictionaries, and data lineage artefacts. Act as a bridge between business and technical teams to ensure data accuracy and consistency across systems.
Skills and Experience Required:
Minimum 5+ years of experience in a data analysis, data engineering, or technical analytics role. Strong expertise in SQL for data analysis, transformation, and validation. Solid experience working with AWS data tools (e.g., S3, Glue, Redshift, Athena, Lambda). Hands-on experience with Ataccama (or similar data quality/governance tools like Informatica, Collibra, Talend). Strong understanding of data governance, data quality frameworks, and metadata management. Ability to translate business requirements into actionable technical specifications. Experience in banking or financial services industry preferred, with exposure to regulatory and compliance data requirements.
Desirable Skills
Experience with Python or PySpark for data manipulation and analysis. Familiarity with data modelling techniques and tools (e.g., ERwin, dbt). Exposure to Agile methodologies a
09 Apr 2025;
from:
gumtree.co.za