Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP’s. Named #2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 350 employees worldwide.

Job Summary

We are seeking an experienced Analytics Manager to lead our data analytics function and drive a culture of data-informed decision-making across the organization. This role combines strategic leadership with hands-on analytical expertise to transform data into meaningful insights that shape business direction and accelerate growth. Experience in the Music or Entertainment industry is a plus.

As the Analytics Manager, you will oversee a team of analysts, establish analytics best practices, partner closely with business stakeholders and senior leadership, and ensure the delivery of scalable, high-impact analytics solutions. You’ll also play a key role in designing and documenting the data model and analytical framework that support enterprise reporting and self-service analytics.

Responsibilities

Leadership & Strategy

• Lead and mentor a team of data analysts, fostering professional growth and excellence in analytical delivery
• Recruit, onboard, and retain top analytical talent aligned with company objectives
• Define the analytics roadmap, prioritizing initiatives that support key business objectives and long-term strategic goals
• Champion data literacy and governance across the organization to promote consistency and trust in data assets

Business Partnership & Strategic Analysis

• Collaborate with business stakeholders to understand priorities and translate them into actionable analytical frameworks
• Deliver insights and recommendations that influence strategy and improve performance across functions
• Serve as the key analytics liaison between business units, data engineering, and executive teams

Reporting, Data Infrastructure & Enablement

• Oversee the design, documentation, and governance of the analytics data model to ensure scalability, consistency, and clear data lineage
• Partner with data engineering to build and maintain well-structured, reliable datasets and semantic layers that enable robust reporting and analysis
• Lead the development of automated dashboards, reports, and data pipelines that meet evolving business needs
• Advance the organization’s self-service analytics capabilities by enabling teams with intuitive BI tools and clear data definitions

Advanced Analytics & Insights

• Lead the development of advanced analyses—such as forecasting, segmentation, and optimization—to support strategic initiatives
• Translate complex analytical findings into clear, compelling narratives for executive stakeholders
• Identify emerging data trends and recommend innovative analytical approaches or technologies
• Use analytics to uncover music consumption trends, artist performance drivers, and new revenue opportunities across DSPs and platforms

Qualifications

• Bachelor’s degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or related discipline)
• 7+ years of experience in analytics, business intelligence, or data science, including at least 2+ years in a leadership or managerial capacity
• Advanced SQL proficiency for data discovery and complex analysis across large-scale data environments
• Strong proficiency in BI tools (Tableau, Looker, Power BI, Sigma or similar)
• Experience working with cloud data platforms (GCP, AWS, Databricks, Snowflake, or similar)
• Proven experience designing, documenting, and maintaining analytics data models and semantic layers that support scalable, self-service reporting
• Thorough grasp of medallion architecture (bronze/silver/gold layer patterns) and/or modern data lakehouse concepts
• Experience with statistical modeling, machine learning, or predictive analytics
• Strong Excel and data storytelling capabilities
• Familiarity with Python

Pay Scale

• $130,000 - $150,000 CAD per year
• The final compensation within this range will be determined based on the candidate’s experience, skills, and overall fit for the role.