AI Automation & Growth Analyst

Warner Music INC; City of Westminster; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading music company in the UK seeks an AI Automation & Growth Analyst to drive automation solutions and enhance operational efficiency. This role requires expertise in Python or JavaScript and SQL to build intelligent data pipelines. Collaborate with a dynamic team to innovate processes and create applications that streamline workflows. Ideal candidates are self-motivated, detail-oriented, and skilled in using LLM APIs. Join this exciting environment focused on intelligent automation and business growth.

Qualifications

• Extensive hands-on experience with Python or JavaScript for data manipulation and automation.
• Comfortable writing SQL queries for data extraction from relational databases.
• Familiarity with version control practices using Git.

Responsibilities

• Design and script automated workflows to replace manual tasks.
• Write complex SQL queries for data extraction and transformation.
• Build internal tools and applications using AI integration.

Skills

Python or JavaScript

SQL

Git

LLM APIs

Process Automation

AI Integration

Tools

Cursor

Windsurf

Job description

Job Overview

The Warner Chappell Global Strategic Integration and Operations team is a small but mighty team focused on delivering and implementing business objectives. Working closely with our global leaders, we are responsible for driving and embedding our global business strategy.

Role Overview

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.

Key Responsibilities

• 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.

Desired Qualifications

• Strong scripting skills (Python or JavaScript): Extensive hands‑on experience using Python or JavaScript/TypeScript for data manipulation, API interaction, and process automation.
• Data & SQL fluency: Comfortable writing SQL queries to pull, clean, and structure data from relational databases and preparing data for AI context windows.
• Version control (Git): Familiarity with branching, merging, and pull requests to maintain a clean codebase in a team environment.
• LLM & API experience: Built applications or scripts that utilize LLM APIs (OpenAI, Anthropic, Gemini), understanding concepts like context limits, temperature, and prompt engineering within code.
• Grounded in engineering principles: Write clean, scalable, and reliable code that can be maintained and built upon by the team.
• Obsessive drive for AI: Constantly exploring the latest technologies, building personal projects, and experimenting with agentic workflows.
• Product‑minded & pragmatic: Independently translate a business need into a technical solution with a “get it done” mentality and a knack for finding the most direct path to a functional product.
• Highly autonomous & collaborative: Take ownership of code, thrive in a tight‑knit environment, share ideas, challenge assumptions, and support code reviews.
• Experience building full‑stack or agentic applications: Hands‑on experience building applications with AI, demonstrated through internships or a strong portfolio of personal projects.
• Familiarity with AI‑native tools: Experimented with or eager to master building with AI agents and AI‑assisted coding tools.
• Detail‑oriented: Pay close attention to detail and ensure accuracy in tasks.
• Strong analytical aptitude: Break down problems and contribute to solutions.
• Good communication skills: Clearly articulate ideas and contribute to team discussions.
• Team player: Work effectively within a collaborative team environment.

Equal Opportunity Statement

We encourage applications from people with a wide variety of backgrounds and experiences.

Company Values

• Curiosity: We do our best work when we’re immersing ourselves in culture and breaking through barriers.
• Collaboration: Making music and bringing it to the world is all about the power of originality amplified by teamwork.
• Commitment: We pursue excellence for our team and our talent, acting with integrity and delivering on our promises.