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# Data Analyst

- **Company:** Everforth Apex
- **Location:** Morris County, NJ, United States
- **Experience:** Expert
- **Salary:** $138,320
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Information Engineering, Data Presentation, Power BI, Sql Optimization, Data Analytics, Performance Monitor, Databricks
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/a7d0765e-24ed-4652-8926-c4793ed6bee5

## About the Role

5+ years of Data Analytics or Business Intelligence experience.

 * Advanced SQL skills.
 * Experience with Databricks and Databricks Dashboards.
 * Strong dashboard, KPI, and scorecard development experience.
 * Experience translating business requirements into analytics solutions.
 * Strong communication and data storytelling skills.
 * Experience working with large, complex datasets.

Preferred Skills

Python for data analysis and exploration.

 * Customer experience, contact center, or customer engagement analytics.
 * Experience measuring chatbot, virtual assistant, or AI-enabled customer service performance.
 * Power BI experience.

## Description

We are seeking a Data Analyst to support customer analytics, KPI development, dashboard creation, and business performance reporting initiatives.

This role will work closely with Data Engineering teams and business subject matter experts to transform enterprise customer interaction data into actionable insights. The ideal candidate is an experienced analyst who can explore new datasets, define meaningful metrics, and develop Databricks dashboards and scorecards that support strategic decision-making., Build and maintain dashboards, scorecards, and KPI reporting solutions in Databricks.

 * Define business metrics and reporting requirements with stakeholders.
 * Perform ad hoc analysis and investigative data exploration.
 * Analyze customer behavior, customer intent, satisfaction, and operational performance trends.
 * Measure the effectiveness of digital and AI-enabled customer engagement initiatives.
 * Validate data accuracy and investigate anomalies.
 * Present findings through clear visualizations and business-focused recommendations.