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AI Automation & Growth Analyst

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Warner Music Group
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

At Warner Chappell Music (WCM) - the global music publishing arm of Warner Music Group (WMG) - we shape the culture of songwriting and champion songs that resonate for generations by creating transformational opportunities for songwriters everywhere. Our people and culture are at the epicenter of our company, and we are looking for team members who share our service-oriented mindset and have a passion for looking after our songwriters.

Job Title:

AI Automation & Growth Analyst

Reports To:

Senior Manager, Data Analytics & Automation

Department:

Strategy, Integration and Operations

Location:

Los Angeles

Your role :

The AI Automation & Growth Analyst is the technical engine behind our team's ability to scale. You will own the end-to-end lifecycle of automation solutions—from identifying bottlenecks in manual workflows to designing and deploying robust, code-based solutions.

In this role, you will move beyond simple prompting; you will use Python or JavaScript, SQL, and LLM APIs to build intelligent pipelines that streamline complex workflows. Your primary objective is to enhance data-driven decision-making and operational efficiency by treating automation as a software engineering discipline.

Here you’ll get to:
  • Engineer Robust Automations:
    Design and script automated workflows using Python or JavaScript to replace manual, data-intensive tasks across our departments.
  • Build AI-Integrated Data Pipelines:
    Write complex SQL queries to extract and transform data, then integrate that data with Large Language Models (LLMs) to generate automated outputs.
  • Develop Intelligent Applications:
    Engage in the full development lifecycle to build internal tools and agents using custom logic and direct API integrations.
  • Maintain Engineering Standards:
    Utilize Git for version control, conducting code reviews, and ensuring all automation scripts are documented, tested, and reliable.
  • Drive Rapid Prototyping:
    Utilize AI-assisted coding tools (e.g., Cursor, Windsurf) to accelerate the creation of business-focused applications while maintaining clean code architecture.
  • Analyze & Optimize Processes:
    Create process maps to deconstruct current business operations, identifying specific nodes where AI agents or scripts can improve speed and accuracy.
  • Full-Stack Contribution:
    Contribute to backend logic (API integrations, database management) and simple user-facing interfaces to make your tools accessible to non-technical colleagues.
  • Develop Deep Expertise in Applied AI:
    Grow into a subject-matter expert by researching, experimenting with, and applying emerging AI technologies to practical business use cases.
  • Collaborate to Drive Innovation:
    Work in a tight-knit team and partner with business stakeholders to champion new ideas, ensure smooth project execution, and encourage the adoption of new technologies.
  • Learn and grow:
    Actively participate in training and development opportunities to enhance skills in AI, automation technologies, and process improvement methodologies.
About you:

We are looking for an early career-level AI Analyst with an obsessive drive for learning and staying at the forefront of AI and automation advancements. With a background in software engineering (or related), the ideal candidate will be deeply passionate about exploring the latest technologies and immersing themselves in this rapidly evolving field. A keen interest in AI trends and a proactive approach to discovering new tools and solutions will be essential.

This role is perfect for someone who thrives on continuous learning and staying ahead of emerging technologies in AI.

We’d love it if you also had:
  • Strong Scripting Skills (Python or JavaScript):
    You have strong hands‑on experience using Python or JavaScript/Type Script for data manipulation, API interaction, and process automation. You prefer writing a script to doing a task manually twice.
  • Data & SQL Fluency:
    You are comfortable writing SQL queries to pull, clean, and structure data from relational databases. You understand how to prepare data for AI context windows.
  • Version Control (Git):
    You understand the importance of source control. You are familiar with branching, merging, and pull requests to maintain a…
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