Category: Development and implementation
Subcategory: Data and analytics
Data analytics - DAAN
Enabling data-driven decision making by extracting, analysing and communicating insights from structured and unstructured data.
Levels:
Level 2:
Description: Assists in data preparation and analysis activities under direction. Processes and validates data to support analytics. Generates standard reports and insights using established tools and methods.
Level 3:
Description: Supports data analytics by gathering and preparing data from multiple sources. Applies analytical and statistical methods and software tools to analyse data and develop reports. Assists in identifying trends, patterns and insights that inform business decisions. Collaborates with team members to refine analysis techniques and maintain data quality.
Level 4:
Description: Conducts end-to-end data analysis, defining data requirements and ensuring data integrity. Applies advanced analytical and statistical techniques to extract meaningful insights and develop predictive models. Communicates complex findings to stakeholders in an understandable manner. Contributes to the development of data analytics processes and standards. Identifies opportunities for improving data analytics practices.
Level 5:
Description: Manages data analytics activities, establishing frameworks and methodologies aligned with business objectives and data governance policies. Leads the implementation of data analytics solutions. Translates business needs into analytics requirements and identifies data-driven solutions. Guides the selection and application of advanced analytical techniques. Communicates insights and recommendations to senior stakeholders, influencing strategic decisions.
Level 6:
Description: Develops organisational strategies and roadmaps for data analytics. Sets policies, standards and recommended practices for the use of data and data analytical techniques. Leads initiatives to build data analytics capabilities and develop a data-driven culture. Oversees the delivery of analytics projects and programmes. Promotes the ethical use of data and data analytics.
Level 7:
Description: Directs the creation and review of a cross-functional, enterprise-wide approach and culture for generating value from data analytics and data science. Drives the identification, evaluation and adoption of data analytics and data science capabilities to transform organisational performance. Leads the provision of the organisation's data analytics and data science capabilities. Ensures the strategic application of data analytics and data science is embedded in the governance and leadership of the organisation. Aligns business strategies, enterprise transformation and data analytics and data science strategies.