Skill description
Enabling data-driven decision making by extracting, analysing and communicating insights from structured and unstructured data.
Guidance notes
Data analytics focuses on delivering actionable insights from data to drive better decision making.
Activities may include, but are not limited to:
- collecting, processing and analysing data from various sources.
- ensuring the validity and integrity of data being processed and analysed.
- identifying trends, patterns and insights using a range of analytical and statistical techniques.
- developing and validating predictive models.
- communicating findings to stakeholders.
- ensuring data quality, integrity and governance.
- collaborating with teams to align analytics initiatives with business objectives.
- designing and implementing data analytics solutions and processes.
- providing actionable recommendations based on domain expertise.
- staying current with emerging trends and techniques in data analytics.
- strategic leadership for data analytics and related disciplines such as data science.
- contributing to data governance policies, standards and good practices.
Data analytics has diverse applications across industries, including customer segmentation, sales forecasting, fraud detection, supply chain optimisation, predictive maintenance, healthcare analytics, financial risk management, HR analytics, social media analytics and public sector analytics.
Level 2Assist
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 3Apply
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 4Enable
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 5Ensure, advise
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 6Initiate, influence
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 7Set strategy, inspire, mobilise
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.
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