Data Analyst

NTT Data; Johannesburg; On-site; ZAR 480 000 - 600 000; Full time

Job summary

A leading global technology services company based in Johannesburg is seeking a Data Analyst to transform data into actionable insights. The ideal candidate will have a Bachelor's degree and 5 years of experience in data analysis, with proficiency in BI tools like Power BI and Tableau. Responsibilities include developing dashboards, ensuring data quality, and collaborating with data engineers. The role offers the opportunity to impact strategic decision-making through data-driven insights.

Qualifications

• 5 years of experience in business intelligence, reporting, or data analysis.
• Proven experience with BI tools including Power BI and Tableau.
• Strong SQL skills and familiarity with data engineering concepts.

Responsibilities

• Develop and maintain dashboards and reports for business operations.
• Perform ad-hoc analysis to answer key business questions.
• Collaborate with data engineers to optimize data pipelines.

Skills

Data visualization

Analytical mindset

SQL

Data governance

Communication skills

Education

Matric and a Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a related field

Tools

Power BI

Tableau

Qlik

SAP BusinessObjects BI Suite

Python

R

Job description

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)