Data Analyst
3 weeks ago
Control Risks is currently looking to hire a Data Analyst to support a global banking client. Working as part of an established Global Security Operations Centre, the Data Analyst will conduct data analysis to support decision making and improve performance.
Please note that this role is scheduled to commence employment on 1st July 2024.
Role tasks and responsibilities:
- Design and define metrics related to the operational performance of the GSOC.
- Build and maintain data infrastructure, conduct data interrogation, troubleshooting or other data consulting work, manage data access, and establish a single source of truth for management.
- Identify, extract, transform and aggregate data from repository systems and structured databases (SQL, Oracle, DB2, etc.) into a central data repository to support performance reports, run analyses, and collect Root Cause Analysis feedback.
- Ensure data accuracy and integrity through the data cleansing and validation process.
- Create and design data queries to identify and understand relationships between multiple or disparate data sources.
- Design and implement qualitative and quantitative data analysis methodologies to discover or uncover meaningful trends and behaviours, and to optimize operational efficiencies across GSOC processes.
- Develop bespoke scripts to support analysis of prioritized risk areas.
- Identify issue areas through data analysis and independently provide solutions & improvement insights to management teams.
Requirements
- Proven capability in SQL and Python/R especially in developing code for automation.
- Experience with data visualization tools like Tableau and Power BI.
- Knowledge and 1+ years’ experience using advanced analytic tools for data visualization, modelling, data management, ETL, data aggregation and dynamic reporting.
- Experience manipulating and analysing large amounts of data and interpreting the results, with emphasis on problem-solving and visual representation.
- Experience working in a collaborative and team-oriented environment.
Qualifications and specialist skills:
- Bachelor’s Degree in a relevant field of study. Specialists from technology-relevant fields such as Engineering, Data Science, Computer Science or Actuarial Science are preferred.
- Advanced knowledge and experience with MS Excel including modelling and data pivoting skills.
- Advanced knowledge and experience with open software and database applications.
- Ability to leverage technology to solve problems.
- Strong communication skills (fluency in English).
- Ability to work well under pressure and meet tight deadlines, while effectively juggle competing demands and evolving priorities.
- Strong organizational and project management skills.
- Strong work ethic, eagerness to learn, and motivation to succeed.
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