2.16 - Kanaries

a. Visual Data Exploration
Experienced in using Graphic Walker’s visual exploration interface to uncover patterns, trends, and insights within complex datasets. Skilled at dynamically adjusting visual encodings, filters, and aggregations to iteratively refine analysis in response to business questions.
b. Data Preparation & Structuring
Proficient in preparing and structuring datasets for optimal use within Graphic Walker. Capable of transforming raw or unstructured data into clean, analysis-ready formats, applying calculated fields, standardising naming conventions, and configuring relational joins where applicable.
c. Interactive Dashboard Development
Skilled in developing interactive dashboards that allow users to filter, segment, and interrogate data directly. Capable of designing clear, intuitive interfaces that guide users through multi-layered insights while maintaining a consistent and professional visual standard.
d. Data Storytelling & Insight Presentation
Adept at structuring visual narratives within Graphic Walker to communicate findings effectively. Skilled at combining complementary charts, annotations, and narrative flow to deliver compelling, actionable insights tailored to specific audiences.
e. Chart Selection & Visual Encoding
Experienced in selecting appropriate chart types and configuring visual encodings to best represent various data relationships and distributions. Capable of balancing analytical rigour with readability and ensuring visuals adhere to data visualisation best practices.
f. Data Governance & Validation
Committed to maintaining data accuracy and integrity within visual analytics projects. Skilled at validating source data, calculated fields, and visual outputs to ensure consistency with reporting definitions and business logic.
g. Workflow Standardisation & Template Design
Experienced in designing repeatable visual analysis templates and workflows within Graphic Walker. Capable of developing standardised dashboards and report structures that improve efficiency, maintain visual consistency, and support scalable, repeatable reporting practices.
Skilled at optimising data visualisations for performance by refining data volumes, aggregations, and visual complexity. Capable of balancing interactive capabilities with responsive load times to ensure a seamless user experience in complex analytical environments.