Analytics Visualization Specialist

Role: Analytics Visualization Specialist

Location: Remote (Cincinnati, OH)

Position Overview:

We are looking for an enthusiastic and detail-oriented Analytics Visualization Specialist with junior-level data engineering capabilities to support enterprise analytics initiatives. This role focuses on transforming complex datasets into meaningful visual insights that drive operational and business decisions. The ideal candidate will collaborate with multiple teams across engineering functions to build scalable reporting solutions and maintain reliable data processes.

Key Responsibilities:

• Develop intuitive dashboards, visual reports, and interactive analytics solutions using BI and visualization platforms such as TIBCO Spotfire.
• Partner with business stakeholders and technical teams to understand reporting requirements and translate them into effective visualization solutions.
• Interpret and analyze large datasets to uncover trends, identify anomalies, and present actionable insights to support business improvements.
• Support the creation and maintenance of data pipelines, data models, and warehouse structures leveraging platforms such as Amazon Redshift, DWaaS, Dataiku, and ingestion frameworks including Starfish.
• Manage and maintain automated report distribution mechanisms and user notification lists tied to dashboard outputs and reporting workflows.
• Ensure data quality, consistency, and reliability through validation checks and continuous monitoring processes.
• Provide end-user support by explaining dashboard logic, report calculations, and visualization methodologies in a clear and understandable manner.
• Adapt to evolving business requirements by learning and supporting additional ETL tools, ingestion technologies, and analytics platforms as needed.
• Contribute to future-state analytics initiatives involving emerging visualization and data platforms such as Palantir or similar technologies.

Required Skills & Qualifications:

• Hands-on experience with data visualization and BI tools such as TIBCO Spotfire, Tableau, Power BI, or comparable platforms.
• Strong SQL expertise with practical knowledge of data warehousing concepts, data modeling, and ETL/data pipeline development.
• Familiarity with Amazon Redshift, DWaaS environments, and analytics solution development.
• Experience working with data analysis techniques, statistical interpretation, and data mining practices.
• Strong analytical mindset with excellent troubleshooting and problem-solving abilities.
• Effective verbal and written communication skills with the ability to collaborate across technical and non-technical teams.
• Self-motivated and capable of working independently while also contributing within a collaborative team environment.

Preferred Qualifications:

• Exposure to cloud-based analytics ecosystems and enterprise reporting environments.
• Willingness to quickly learn new BI tools, ingestion technologies, and data engineering processes.
• Prior experience supporting operational analytics or engineering-focused reporting initiatives is a plus.