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# Manager, Analytics Engineer (IC)

- **Company:** Lhi Group Ltd
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Software Documentation, Information Engineering, SQL Databases, Data Analytics, Data Management, Databricks
- **Published:** June 15, 2026
- **Apply:** https://www.dice.com/job-detail/ffecce6e-1c3e-4b9b-8231-3633a4d9a568

## About the Role

* 5+ years of experience in Analytics Engineering, Data Analytics, or related fields
 * Strong expertise in SQL and modern cloud data platforms such as Databricks
 * Experience building layered data models (bronze/silver/gold architecture or similar)
 * Strong understanding of data quality, testing, and documentation standards
 * Experience developing forecasting or statistical models
 * Ability to balance hands-on technical work with mentorship and stakeholder collaboration
 * Strong communication skills with experience working cross-functionally across analytics, engineering, and business teams

This is a great opportunity for someone looking to help shape the future of analytics infrastructure and scalable self-service data capabilities within a large-scale digital media environment.

## Description

A leading media and entertainment organization is seeking a Lead Analytics Engineer to help scale and optimize its modern data environment across high-traffic digital, streaming, and consumer platforms.

This role will focus heavily on Databricks, data modeling, forecasting, and analytics enablement - helping build scalable datasets and frameworks that support audience, content, subscription, and revenue analytics.

You'll partner closely with Analytics, Data Engineering, and Business stakeholders to improve data quality, structure, accessibility, and overall analytics maturity across the organization., * Own and evolve the team's Databricks environment and analytics data models

 * Build scalable, high-quality datasets and transformation frameworks
 * Partner with Data Engineering teams to improve upstream pipelines and architecture
 * Establish standards for data modeling, QA/testing, and documentation
 * Develop forecasting models related to audience, traffic, subscriptions, or revenue
 * Mentor analysts on production-quality SQL and analytics engineering best practices
 * Collaborate cross-functionally to prioritize high-impact analytics initiatives


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