Manager, Data Engineering & Analytics – Business Management & Family Office

Citrin Cooperman

Royalty Management Analyst in analytics and data engineering for Citrin Cooperman. Designing tools and reports for optimal royalty management in music and entertainment industries.

Posted 6/30/2026full-timeNew York City • California, New York, Tennessee • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining advanced royalty tracking tools and financial reports, with a strong focus on data analysis, automation, and cross-functional collaboration. Proficient in Power BI, SQL, and API integrations to enhance data accuracy and reporting efficiency.

Highest-signal resume keywords

Power BI DevelopmentAPI IntegrationSQL QueryingData AnalysisData Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power BIDAXData ModelingSQLPythonData AutomationData ValidationData ReconciliationRelational Data StructuresFinancial Datasets

Soft Skills

Attention to DetailProblem-SolvingAnalytical SkillsCommunication

Tools & Technologies

AzureSnowflakeData ConnectorsAutomated Data Feeds

Industry Keywords

AnalyticsBIRoyaltyFinanceMedia

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain advanced royalty tracking tools and financial reports
Design and operate production data pipelines ingesting royalty statements and usage data
Develop interactive dashboards and automated reporting in Power BI
Ensure accuracy, consistency, and auditability of royalty data across multiple sources
Build and maintain API integrations with third‑party platforms
Automate recurring data ingestion, validation, and reconciliation processes
Analyze large, complex datasets to identify trends, variances, and anomalies
Work cross‑functionally with accounting, IT, and client service teams
Recommend system enhancements and process improvements

Requirements

What you’ll need

6-9+ years of experience in analytics, BI, or data‑driven roles (royalty, finance, or media strongly preferred)
Advanced experience with Power BI, including DAX and data modeling
Hands‑on experience working with APIs, data connectors, and automated data feeds
Strong understanding of relational data structures and financial datasets
Experience with SQL and/or other query languages
High attention to detail, with strong problem‑solving and analytical skills
Knowledge of Python or other scripting languages for data automation
Ability to translate complex technical concepts into clear business insights
Experience with Azure, Snowflake, or other cloud data platforms

Benefits

Comp & perks

Competitive compensation and benefits
Flexibility to manage personal and professional life