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Create Music Group

Analytics Engineer

Canada

Pay: $90,000 - $110,000 per year
Experience: 2+ years of experience in the analytics domain as a data analyst/data engineer/data scientist
Posting language: English
Posted: Sep 2, 2026

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Original job description

Job Summary

The Analytics Engineer will be part of our Analytics & Insights team and partner closely with stakeholders and internal data teams to translate business needs into scalable analytics solutions. The role will analyze; integrate data from multiple datasets, write and optimize SQL for analytics; reporting, own end-to-end analytics deliverables, and recommend data and reporting improvements.

The ideal candidate takes ownership, approaches complex problems with creativity and persistence, and continuously raises the bar for analytical excellence. They pair technical expertise with sharp business acumen, transforming data into actionable insights that create meaningful business impact.

Responsibilities

Partner closely with Finance, Music Ops, Acquisitions, and other business stakeholders to understand reporting needs, data gaps, and analytical requirements
Collaborate with internal data teams to translate business questions into scalable, well-modeled, analytics-ready data solutions

Analyze and integrate data from disparate datasets to develop niche reporting tables and generate meaningful business insights
Develop, optimize, and maintain complex SQL queries and reporting tables
Recommend and implement improvements to existing SQL data models
Design and build scalable reporting architecture that supports evolving analytics needs

Design and develop executive dashboards and KPI frameworks that provide real-time visibility into business performance
Apply software engineering best practices to analytics code (e.g., version control, continuous integration)
Participate in code reviews and optimize SQL for performance, including Sigma-specific optimization
Maintain data documentation, definitions, and governance standards
Other duties as assigned

Qualifications

Bachelor’s degree in a quantitative field (Mathematics, Statistics, Engineering, Computer Science etc.); Master's degree or advanced certification in related field preferred
2+ years of experience in the analytics domain as a data analyst/data engineer/data scientist
Strong proficiency in SQL
Proven ability to navigate ambiguous requirements, analyze and integrate datasets and build targeted reporting tables, executive dashboards and KPIs
Demonstrated expertise in building and owning the analytics semantic layer, including metric definitions, data models & business logic
Understanding of how data insights translate to business value and competitive advantage
Programming experience in R, Python, or similar analytical languages is preferred
Experience with dashboard development in Tableau or Sigma
Eagerness to learn new technologies, methodologies, and business domains
Ability to work independently and collaboratively within a team
Strong communication and cross-functional collaboration skills
Knowledge of the music industry is an asset

Pay Scale

$90,000 - $110,000 per year
The final compensation within this range will be determined based on the candidate’s experience, skills, and overall fit for the role.

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More about this job

Responsibilities

The Analytics Engineer will partner with stakeholders to translate business needs into scalable data solutions and develop executive dashboards. They are responsible for optimizing SQL queries, maintaining data governance, and integrating disparate datasets to generate actionable business insights.

Requirements

Candidates must hold a bachelor's degree in a quantitative field and possess at least 2 years of experience in data analysis or engineering. Strong proficiency in SQL and the ability to build analytics semantic layers are essential requirements for this role.

Skills

SQL
Data Analysis
Data Engineering
Tableau
Sigma
Python
R
Dashboard Development
KPI Frameworks
Data Modeling
Version Control
Continuous Integration
Business Acumen
Communication
Cross-functional Collaboration

Visa sponsorship

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Keywords

Analytics Engineer
SQL
Data Analysis
Data Engineering
Data Science
Tableau
Sigma
Python
R
Dashboard
KPI
Data Modeling
Version Control
Continuous Integration
Finance
Music Industry
Business Intelligence
Data Governance
Semantic Layer
Reporting
Quantitative Analysis
Software Engineering
Stakeholder Management
Scalable Architecture

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