The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.
Responsibilities
- Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems.
- Detect, examine, and decode trends or patterns within intricate datasets.
- Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors.
- Coordinate with management to align business and informational priorities.
- Identify opportunities for process enhancements.
- Employ statistical techniques to scrutinize data and produce actionable business insights.
- Collaborate with the management team to determine and rank the needs of different business units.
- Develop data dashboards, charts, and visual aids to support decision-making across departments.
Qualifications
- A bachelor's degree in Computer Science, Information Management, Statistics, or a comparable discipline is required.
- Minimum 3 years experience in a related field.
- Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, R. Azure Data Factory and Azure Data Bricks
- Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
- Capable of critically evaluating data to derive meaningful, actionable insights.
- Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.
- Willing to be placed in a banking or financial company.
