Role Summary:
The Data Analyst will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across the organisation. This role requires a strong analytical mindset and proficiency in data visualisation. The ideal candidate will bridge the gap between data and business.
Responsibilities:
- Develop and maintain dashboards and reports to support business operations and strategic decisions.
- Perform ad-hoc analysis to answer key business questions.
- Apply best practices in data, aggregation, and visualisation to ensure performance and scalability
- Support the creation of extractors and data views for integration with third-party vendors
- Ensure the consistency and security of shared data while maintaining traceability and compliance
- Collaborate with data engineers to ensure data pipelines are optimised for reporting and analytics.
- Ensure data quality, integrity, and governance across systems.
- Support data science initiatives by preparing datasets and contributing to model development.
- Identify opportunities to apply AI/ML to improve business processes.
- Work closely with business units to understand data needs and translate them into technical requirements.
- Present insights and recommendations to non-technical stakeholders.
- Identify and implement improvements in BI processes, tools, and methodologies.
Qualifications:
- Matric and a Bachelors degree in Information Systems, Computer Science, Data Analytics, or a related field
- 5 years of experience in business intelligence, reporting, or data analysis
- Proven experience with BI tools (e.g., Power BI, Tableau, Qlik, SAP BusinessObjects BI Suite)
- Strong SQL skills and experience with data warehousing solutions.
- Familiarity with data engineering concepts (ETL pipelines, data lakes) and cloud platforms (like Azure, AWS, or GCP).
- Proficiency in data modelling, reporting tools, and visualisation techniques
- Strong SQL or Python/R skills and experience with SAP environments
- Understanding of data governance, quality checks, and performance optimisation
Advantageous:
- Advanced degree (Masters or equivalent) in Data Science, Business Analytics, or related field
- Experience working with SAP BW/4HANA
- Understanding of AI/ML concepts and their application in business contexts
- Exposure to data science tools and languages (e.g., Python, R, Jupiter Notebooks)
Role Summary:
The Data Analyst will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across the organisation. This role requires a strong analytical mindset and proficiency in data visualisation. The ideal candidate will bridge the gap between data and business.
Responsibilities:
- Develop and maintain dashboards and reports to support business operations and strategic decisions.
- Perform ad-hoc analysis to answer key business questions.
- Apply best practices in data, aggregation, and visualisation to ensure performance and scalability
- Support the creation of extractors and data views for integration with third-party vendors
- Ensure the consistency and security of shared data while maintaining traceability and compliance
- Collaborate with data engineers to ensure data pipelines are optimised for reporting and analytics.
- Ensure data quality, integrity, and governance across systems.
- Support data science initiatives by preparing datasets and contributing to model development.
- Identify opportunities to apply AI/ML to improve business processes.
- Work closely with business units to understand data needs and translate them into technical requirements.
- Present insights and recommendations to non-technical stakeholders.
- Identify and implement improvements in BI processes, tools, and methodologies.
Qualifications:
- Matric and a Bachelors degree in Information Systems, Computer Science, Data Analytics, or a related field
- 5 years of experience in business intelligence, reporting, or data analysis
- Proven experience with BI tools (e.g., Power BI, Tableau, Qlik, SAP BusinessObjects BI Suite)
- Strong SQL skills and experience with data warehousing solutions.
- Familiarity with data engineering concepts (ETL pipelines, data lakes) and cloud platforms (like Azure, AWS, or GCP).
- Proficiency in data modelling, reporting tools, and visualisation techniques
- Strong SQL or Python/R skills and experience with SAP environments
- Understanding of data governance, quality checks, and performance optimisation
Advantageous:
- Advanced degree (Masters or equivalent) in Data Science, Business Analytics, or related field
- Experience working with SAP BW/4HANA
- Understanding of AI/ML concepts and their application in business contexts
- Exposure to data science tools and languages (e.g., Python, R, Jupiter Notebooks)
Desired Skills:
- Degree
- BI reporting
- or data analysis
- Power BI
- Tableau
- Qlik etc
- data warehousing solutions.
- ETL pipelines
- data lakes
- SQL or Python/R skills