Data Visualization Specialist
Pubblicato il 02-10-2026 - Quik Hire Staffing in Italia
- Role: Data Visualization Specialist (Remote)
- Location: Remote (Work from Anywhere)
Role Overview:
We are hiring for one of our clients, seeking a Subject Matter Expert – Chart & Data Visualization Analysis to work on a tempo pieno basis. The role involves analyzing and interpreting chart patterns, data trends, and visualization outputs to support decision-making processes. Candidates will collaborate with cross-functional teams to refine data representations and ensure clarity in complex datasets.
Key Responsibilities:
- Analyze and interpret chart patterns, data trends, and visualization outputs to identify key insights.
- Collaborate with stakeholders to refine data representations and improve clarity in visualizations.
- Develop and maintain documentation for chart and visualization standards and best practices.
- Provide guidance on data visualization techniques to enhance the accuracy and usability of reports.
- Assist in troubleshooting and optimizing existing visualization tools and dashboards.
Required Skills & Qualifications:
- Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms.
- Strong analytical skills with the ability to interpret complex datasets and trends.
- Experience in creating clear, actionable, and visually effective charts and graphs.
- Knowledge of data modeling and visualization best practices.
- Ability to communicate technical insights to non-technical stakeholders.
- Familiarity with statistical analysis and data interpretation methodologies.
- Experience with SQL or other data querying languages is a plus.
- Attention to detail and a methodical approach to problem-solving.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to the development of high-impact visualizations that drive strategic decisions. The position supports projects with measurable outcomes in data clarity and decision suppo