About the Job

The jobholder is responsible for leading analytics initiatives, designing data-driven solutions, and providing insights to enhance business performance. This role involves working with large datasets, applying statistical models, developing dashboards, and engaging with cross-functional teams to drive data-driven decision-making.

Responsibilities

Analyse data to uncover trends, patterns, and insights that inform decision-making.
Generate routine and ad hoc reports to meet stakeholder requirements.
Validate the accuracy and completeness of data before analysis and reporting.
Develop dashboards, reports, and visualizations using tools like OAS, Apache Superset, Power BI, Tableau, and QlikView.
Update dashboards and reports regularly to meet stakeholder requirements.
Liaise with business units to gather requirements for analytics and BI solutions.
Monitor data quality and integrity, identify and resolve inconsistencies.
Work with data engineering teams to improve data collection, storage, and processing systems.
Automate recurring reports and workflows to improve efficiency.
Address technical issues related to BI tools, data systems, and dashboards.
Ensure data analytics and BI processes comply with organizational and regulatory standards.
Optimize emerging technologies and best practices in data analytics and BI.
Recommend and implement innovations to improve analytics capabilities.

Requirements

A Bachelor’s degree in Computer Science, Information Technology/Business Information technology, Data Science, Artificial Intelligence/Machine Learning, Economics, Statistics, Mathematics, Engineering or a related field.
Professional qualification in Data Science, Artificial Intelligence, Business Intelligence, Data Analytics or a related field.
Minimum of 3 years relevant work experience.
Membership to any relevant professional body with a valid practicing certificate/license.
Technical proficiency in: BI platforms such as Power BI, OAS, Tableau, Apache Superset, QlikView, or Looker for visualization and reporting; SQL for querying databases and manipulating data; MySQL, PostgreSQL, or Oracle; creation and management of dashboards and interactive reports; working with structured and unstructured data to uncover meaningful insights; data analysis techniques and statistical tools such as R, Python, or SAS; diagnosis and resolution data-related challenges; data governance frameworks, security protocols, and privacy regulations; metadata management and data cataloging; cloud platforms (e.g. AWS, Azure) and big data technologies.
Supervisory skills.
Strong analytical and problem-solving skills.
Excellent communication skills.
Proactive and results-oriented mindset.
Attention to detail and organisational skills.
Adaptability and openness to learning new technologies.
Ability to collaborate with cross-functional teams effectively.