South Africa: Data Analyst posted by IX Engineers

About the Role

IX Engineers is seeking a highly skilled Data Analyst to join our team. As a key member of our analytics department, you will be responsible for designing, developing, and maintaining robust data pipelines, as well as providing actionable insights to drive business growth and optimisation.

Key Responsibilities

• Design, develop, and maintain robust data pipelines (ETL/ELT) from multiple data sources.
• Implement data cleaning, standardisation, deduplication, and enrichment processes.
• Establish and monitor data quality frameworks (completeness, accuracy, timeliness).
• Ensure secure data storage and enforce access controls in line with governance standards.
• Design and implement scalable Data Warehouse and/or lakehouse architectures.
• Develop dimensional data models (fact and dimension tables) and curated data marts.
• Maintain comprehensive documentation including data dictionaries, lineage, and pipeline runbooks.
• Optimise data performance and cost efficiency (e.g., indexing, partitioning, query tuning).
• Build and maintain pricing analytics frameworks, including pricing structures, discount models, and margin analysis.
• Develop automated pricing recommendations using rule-based and statistical methods (e.g., regression, clustering).
• Implement workflows for approvals, audit trails, and exception handling.
• Monitor and refine pricing performance using key metrics such as margin, revenue, and win rates.
• Develop dashboards and reports for business stakeholders (e.g., margin performance, utilisation, pipeline tracking).
• Translate business requirements into analytical solutions and actionable insights.
• Enable self-service analytics through well-defined semantic layers and standardised KPIs.
• Work closely with cross-functional teams to define data requirements and KPIs.
• Establish and enforce data governance practices, including naming conventions and access controls.
• Support analytics roadmap planning and continuous improvement initiatives.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
• 4–7+ years of experience in data analytics, data engineering, or a related role.
• Proven experience in building and maintaining data pipelines and data warehouse solutions.
• Demonstrated experience in pricing, commercial analytics, or revenue optimisation.

Qualifications

No formal qualifications mentioned.