POSITION OVERVIEW:

Responsible for collecting, processing, and performing statistical analysis on large data sets to identify trends patterns and correlations that can inform organizational decision-making and performing root cause analysis. The responsibilities include data collection and cleaning, statistical analysis, creating reports and visualizations for non-technical audiences, collaborating across departments to support data driven decisions and ensuring data quality.

RESPONSIBILITIES:

Data Analysis and Interpretation

Gather data from primary and secondary sources, then reorganise this data in a format that can be easily analysed.
Collect and analyse complex data sets to identify trends, patterns, and insights.
Translate business requirements from stakeholders into measurable and actionable KPIs.
Provide clear and concise reports to stakeholders, highlighting key findings and recommendations
Review and ensure integrity of data, performing data profiling and data modelling to understand and identify anomalies.
Responsible for data analysis activities including data mining, trend analysis, extracting actionable insights that support decision making.
Contribute to the development of strategies to improve data collection, analysis and reporting processed within across departments/stakeholders.

Data warehousing

Design and develop Datawarehouse dimensions and facts.
Ensures integrity of the data received.
Design, build and deploy solutions to automate monotonous data management tasks and help others get the most out of data management systems by providing support and advice.
Build and manage extract, transform and lLoad (ETL) jobs in support of interfaces between the organization's business application systems and data warehouses.

Reporting and Dashboard Development

Build Interactive dashboards and reports using BI tools (e.g. Power BI) to facilitate data-driven decision-making.
Design and develop reports.
Create compelling data visualizations that effectively communicate insights to both technical and non-technical audiences.
Develop and maintain data models to support reporting and analysis needs.
Support collection of business requirements using a variety of methods such as interviews, document analysis, and workflow analysis to express requirements clearly and succinctly.
Participation in organizational AI efforts

Collaboration and Communication

Collaborate with cross-functional teams to understand business requirements and ensure BI solutions align with organizational goals.
Communicate findings and insights in a clear and understandable manner to stakeholders at various levels.
Train end-users on basic functionality

Continuous Improvement.

Stay abreast of industry trends and best practices in data analytics.
Identify opportunities for process improvements and automation to enhance efficiency.
Continuous learning and research of best practice development in data modelling, profiling, validation, integration, match & merge solutions and/or packages.

Risk and Compliance

Ensure data accuracy, integrity, and security by implementing and adhering to data governance policies and procedures.
Evaluate internal processes for efficiency, problems, and inaccuracies.
Responsible for the handling, processing, and cleansing of data.
Support the implementation of identified key controls and established risk mitigation procedures.
Work closely with IT and other relevant teams to address data quality issues.
Assist with policies and procedures for the collection and analysis of data.

DESIRED SKILLS AND EXPERIENCE

Minimum requirements:

NQF Level 7 in data science, Engineering, Project Management or related.
4-6 Years' experience in the ICT Domain of which at least 3 should be focused on Data Analysis
Advanced knowledge of SQL/Python/BI.
Technical proficiency regarding database design, data models, techniques for data mining and segmentation.
Proficiency in statistics and statistical packages like Excel
Advanced experience in database management.

Preferred

Skills and Competencies:

Data Analyst

Key skills