This field brings together multiple disciplines. Although role titles vary between organizations, the most common roles include:
Data Analyst Understands business questions and translates them into analyses, dashboards, and reports, serving as the link between technology and decision-makers. | Data Engineer Builds data pipelines from source systems to analytical data repositories and ensures that data is delivered on time and in the required format. |
Data Quality Analyst Measures data quality using established dimensions such as completeness, accuracy, and consistency, and coordinates with source entities to address data issues. | Business Intelligence Developer Uses data visualization tools and designs interactive dashboards according to effective design standards. |
Data Analytics Concepts
Dashboard | A visual interface that brings together key indicators and charts in one place to provide a quick overview of performance. |
Key Performance Indicator (KPI) | A quantitative measure that indicates progress toward a specific objective, such as the percentage of transactions completed on time. |
Data Quality | The extent to which data is fit for use, typically measured through dimensions such as completeness, accuracy, consistency, timeliness, validity, and uniqueness. |
Data Governance | The set of policies and roles that defines who owns the data, who makes decisions about it, and how it is managed and protected. |
Business Intelligence | The technological and organizational ecosystem that transforms data into reports, dashboards, and insights that support decision-making. |
Data Product | A modern approach that treats a dashboard or dataset as a product with users, an owner, and a lifecycle, rather than as a one-time technical output. |