Data Analyst: End-to-End Analytics & Tableau Dashboards

Insight Global; Woonsocket (RI); Remote; USD 48,000 - 55,000; Full time

Benefits offered by this job

Tableau dashboards

Job summary

Insight Global is seeking a highly technical Data Analyst to support end-to-end analytics, including data extraction, data engineering, and dashboard development. This long-term contract role collaborates with a direct manager to interpret requirements and analyze large datasets to deliver actionable insights via reporting and visualization tools.

The position emphasizes building data pipelines, working with claims, membership, and provider data, and partnering with leadership to drive analytics

Qualifications

• Experience building and operating data pipelines.
• Strong data analysis and interpretation skills.
• Experience with large datasets.
• GCP knowledge for data storage and access.
• Tableau data visualization experience.
• Healthcare data experience is a plus.

Responsibilities

• Perform end-to-end analytics, including data extraction, and data loading.
• Develop and maintain dashboards using Tableau.
• Locate, interpret, and analyze large-scale datasets (billions of data points).
• Build and support data pipelines, including understanding pipeline structure and functionality.
• Work with various types of data, including claims, membership, and provider data.
• Translate requirements into actionable analytics and reporting solutions.
• Partner directly with leadership for guidance and execution of analytics deliverables.

Skills

Data pipelines

Data analysis

Tableau

GCP

Independent work

Healthcare data

Job description

Insight Global is seeking a highly technical Data Analyst to support end-to-end analytics, including data extraction, data engineering, and dashboard development. This long-term contract role collaborates with a direct manager to interpret requirements and analyze large datasets to deliver actionable insights via reporting and visualization tools.

The position emphasizes building data pipelines, working with claims, membership, and provider data, and partnering with leadership to drive analytics