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Key Responsibilities:
- Data collection and storage: Gathering data from various sources and organising it in a structured manner to ensure efficient and secure data storage.
- Data analysis: Employ advanced data and process modelling techniques to identify, investigate, and analyse trends, patterns, and insights that can be utilized to make informed business decisions.
- Data quality and integrity: Ensuring the accuracy, completeness, and reliability of the data. Conducting data cleaning and validation to maintain high-quality data that can be trusted for analysis and decision-making.
- Reporting and visualisation: Presenting data findings in a clear and concise manner. Creating dashboards, reports, and visualizations to communicate insights effectively and facilitate decision-making within the company.
- Collaboration and cross-functional support: Collaborating with teams across the company, such as product or operations, to understand their data needs and provide analytical support.
- Strategic Support: Participate in the development and implementation of data-related strategies and initiatives to support business objectives and drive growth.
- Internal Guidance: Provide support and guidance to internal teams on data-related issues, including best practices for data management, analysis, and interpretation.
Qualifications:
- Bachelor’s degree in Business Administration, Engineering, Computer Science, or a related field.
- 1 - 3 years’ experience using using PowerBI, SQL and Excel and strong reporting and data visualisation skills. Some exposure to Python is beneficial.
- Strong analytical and quantitative skills.
- Ability to analyse complex financial data sets and present findings in a clear and concise manner to facilitate informed decision-making.
- Strong attention to detail and the ability to manage multiple projects simultaneously.