Senior Data Scientist

SUMMARY:
Role Summary:
The Senior 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.

• Matric and a Bachelors degree in Information Systems, Computer Science, Data Analytics, or a related field
• 8 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

• 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)

POSITION INFO:
Role Summary:
The Senior 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.

• Matric and a Bachelors degree in Information Systems, Computer Science, Data Analytics, or a related field
• 8 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

• 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)