What are the responsibilities and job description for the Senior Business Intelligence Engineer position at IntePros?
Senior Business Intelligence Engineer – Music Analytics & Royalties Reporting
Responsible for leading the development and execution of data analytics solutions that provide critical insights into customer behavior, program performance, and business strategy within a music streaming environment. This role combines advanced business intelligence, statistical analysis, and data engineering to support decision-making across marketing, product, and financial domains. The position focuses on building scalable data pipelines, developing reporting frameworks, and delivering insights that enhance customer experience and inform business growth.
The role requires translating complex business questions into structured analytical plans and leveraging large-scale datasets to generate actionable insights. Success in this position requires strong ownership, the ability to work independently, and deep expertise in data analysis, visualization, and statistical methodologies.
Experience Requirements
The data analytics team supports initiatives focused on music data insights, reporting, and optimization. The team delivers analytics that inform how music content is monetized and how royalties are calculated and distributed.
Responsible for leading the development and execution of data analytics solutions that provide critical insights into customer behavior, program performance, and business strategy within a music streaming environment. This role combines advanced business intelligence, statistical analysis, and data engineering to support decision-making across marketing, product, and financial domains. The position focuses on building scalable data pipelines, developing reporting frameworks, and delivering insights that enhance customer experience and inform business growth.
The role requires translating complex business questions into structured analytical plans and leveraging large-scale datasets to generate actionable insights. Success in this position requires strong ownership, the ability to work independently, and deep expertise in data analysis, visualization, and statistical methodologies.
Experience Requirements
- 5–7 years of business intelligence, data analytics, or related experience
- Experience working with large-scale, complex datasets
- Advanced proficiency in SQL and experience with AWS
- Experience building data visualizations (Tableau, QuickSight, or similar)
- Background in statistics, programming, and marketing analytics
- Bachelor’s degree required
- Graduate degree in math, statistics, computer science, or related field (preferred)
The data analytics team supports initiatives focused on music data insights, reporting, and optimization. The team delivers analytics that inform how music content is monetized and how royalties are calculated and distributed.
- Focus on royalties reporting and analytics
- Build pipelines and dashboards to expose data across business groups
- High degree of ownership with primarily independent work
- Periodic collaboration with stakeholders and technical teams
- Role opened due to new project initiatives
- High team retention and strong domain exposure to music industry data
- Own development of data pipelines and dashboards for royalties reporting
- Evaluate program performance across:
- Customer response
- Feature usage
- Conversion and retention
- Design and analyze A/B and multivariate experiments
- Build and maintain metrics and reporting frameworks for program health
- Handle ad hoc data requests and deep-dive analyses on customer behavior
- Apply:
- Data mining
- Segmentation
- Statistical modeling
- Translate business questions into structured analytical plans
- Deliver clear, actionable insights to stakeholders
- Participate in strategic and tactical planning discussions
- Primarily independent work style
- Collaboration with team and developers:
- 1–2 times per week
- Monday–Friday schedule (standard business hours)
- No holiday work required
- Focus on a single program with end-to-end ownership
- Opportunity for extension based on business needs
- SQL and AWS experience (5 years)
- Experience working with large-scale datasets (5 years)
- Data visualization experience (Tableau, QuickSight, or similar) (5 years)
- Strong analytical and problem-solving skills
- Experience with:
- Statistical analysis
- A/B testing and experimentation
- Ability to operate independently and handle ambiguity
- Experience with SAS
- Prior experience in large-scale business intelligence environments
- Strong communication skills across technical and business audiences
- Throughput of deliverables
- Accuracy of analysis and reporting
- Efficiency in execution
- Ability to independently own and deliver projects
- Quality and clarity of insights
- Ownership of projects and outcomes
- Consistent delivery of results
- Ability to simplify complex problems
- Deep analytical thinking and attention to detail