Data Visualization Analyst

RADaR•Kansas City, MO

1d•Hybrid

About The Position

The Data Visualization Analyst is a specialist dedicated to transforming complex, raw data into clear, actionable, and visually compelling narratives. This role is centered on Tableau mastery, requiring an individual who can not only build interactive dashboards but also architect the data models that power them. The Analyst will work closely with client strategists to define KPIs, identify trends, and communicate insights that drive strategic decision-making. While the core focus is technical visualization, an understanding of marketing and media metrics is highly valued to support our agency’s data storytelling efforts.

Requirements

2–5 years of hands-on experience in data modeling and professional data visualization.
Advanced proficiency in Tableau is mandatory. Candidates must demonstrate deep experience in building complex workbooks, using Level of Detail (LOD) expressions, and optimizing dashboard performance.
A proven ability to interpret large, complex datasets and identify the "so what" behind the numbers.
Exceptional verbal and written skills, with a specific talent for presenting data to non-technical audiences.

Nice To Haves

Experience with SQL for data extraction, manipulation, and join logic.
Familiarity with marketing analytics (e.g., Google Analytics, Meta Ads, Search metrics) and media agency workflows.
Proficiency in complex formulas, PivotTables, and Power Query.
A strong eye for UI/UX principles as they apply to dashboard layout and color theory.

Responsibilities

Lead the design, creation, and maintenance of interactive, user-friendly, and high-impact reports in Tableau, ensuring all visualizations meet brand standards and user needs.
Clean, organize, and analyze datasets from disparate sources to identify critical trends and patterns. Use SQL to extract and manipulate data for efficient reporting.
Translate technical findings into visual formats (graphs, charts, heatmaps) that provide clear, actionable recommendations for executive and technical stakeholders.
Act as a bridge between technical teams and business units, working directly with stakeholders to define reporting requirements and establish relevant Key Performance Indicators (KPIs).
Identify and implement opportunities for automation within the data reporting lifecycle to increase efficiency and reduce manual data handling.
Perform rigorous data validation and testing to ensure the accuracy and integrity of all dashboards and reports.
Provide rapid-response data analysis and visualization to support urgent business questions or client requests.