Psybergate, an IT company, is seeking a Senior Data Business Analyst to join their financial services client in Centurion for a 12-month contract role. The role involves detailed business analysis, stakeholder engagement, and thorough analysis of proposed technology solutions. The candidate will collaborate with cross-functional teams, including IT professionals and other business analysts, to deliver effective solutions.
The role requires the ability to write and interpret data queries, analyze large data sets, and use tools like QlikView, PowerBI, Excel, SQL, and Databases to analyze data and develop solutions. Visual representations of current and future processes will be created, and professional process workshops will be conducted to gather information and identify risks.
Project improvements will be identified, developed, and implemented, and process metrics, reports, and control points will be created. Root cause analysis will be carried out, and business process mapping systems such as Visio, Blueprint, Bizagi, and Microsoft Suite will be used.
The job requirements include a completed relevant degree in IT, Informatics, Data Science, 8 years of business analysis experience, experience working in an Agile software development environment, and proficiency in AI and machine learning. Demonstrable ability to operate independently, efficiently, and effectively in a chaotic, high transaction volume, and complex environment is required.
Remote positions are available, but candidates should be residing within the traveling distance as circumstances may change. The job requisition ID is R-15966480.
A data engineer is essential for the Insider Trust Program, delivering data solutions by developing and maintaining data pipelines to support data-driven risk initiatives. The role involves understanding the technical landscape and bank-wide architecture to design and deliver data solutions. This includes translating and interpreting data architecture direction and associated business requirements, leveraging expertise in analytical and creative problem solving, and contributing to design thinking processes.
The role also involves designing data retrieval, storage, and distribution solutions, contributing to all phases of the development lifecycle, and building analytics tools that utilize the data pipeline. The role also involves creating and maintaining sophisticated CI/CD pipelines, automating tasks through appropriate tools and scripting technologies, debugging existing source code, and assembling large, complex data sets that meet business requirements.
The role also involves assembling and managing the data pipeline, building infrastructure to automate high volumes of data delivery, and creating data tools for analytics and data science teams. The role ensures designs and solutions support the technical organization principles of self-service, repeatability, testability, scalability, and resilience.
The role also involves coaching and mentoring other engineers, conducting peer reviews, testing, and problem-solving within and across the broader team. The role also involves identifying technical risks and mitigating them, updating application documentation aligned to organizational technical standards and risk/governance frameworks, creating business cases and solution specifications for various governance processes, participating in incident management and DR activity, and delivering on time and on budget.
Experience/Skills include SQL proficiency, knowledge of big data technologies, understanding cloud platforms, data modeling and database design, ETL/ELT processes, data governance and security, and experience with data integration tools. The ability to work with diverse teams and collaborate effectively is crucial for success in this role.
