Senior Data Analyst

NTT Data; Johannesburg; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading IT services company in Johannesburg is seeking a Senior Data Analyst who will be crucial in transforming data into actionable insights. The ideal candidate will have a Bachelor's degree in a related field and at least 8 years of experience in business intelligence and reporting. Key responsibilities include developing dashboards, conducting ad-hoc analysis, and collaborating with data engineers. Proficiency in SQL and BI tools like Power BI is essential. This position offers an opportunity to leverage data for strategic decisions across the organisation.

Qualifications

• 8 years of experience in business intelligence, reporting, or data analysis.
• Proficiency in data modelling, reporting tools, and visualisation techniques.
• Understanding of data governance, quality checks, and performance optimisation.

Responsibilities

• Develop and maintain dashboards and reports to support business operations.
• Perform ad-hoc analysis to answer key business questions.
• Collaborate with data engineers to ensure optimised data pipelines.
• Present insights and recommendations to non-technical stakeholders.

Skills

Data visualisation

Strong SQL skills

Experience with BI tools

Collaboration with data engineers

Data governance

Data analysis

Presentation skills

Python/R

Education

Bachelor's degree in Information Systems, Computer Science, Data Analytics

Tools

Power BI

Tableau

Qlik

SAP BusinessObjects BI Suite

Job description

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.

Qualifications

• 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

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)