POSITION SUMMARY
Bridges the gap between raw data and data science processes by ensuring that the data landscape is well-prepared for deeper analysis.

LOCATION
Remote - (US)

FUNCTIONS OF THE JOB
Essential Functions: which may be representative but not all inclusive of those commonly associated with this position.

• Evaluates new data sources to ensure alignment with ongoing projects.
• Maintains knowledge of existing datasets, sources, structure and quality.
• Translates business cases into technical requirements.
• Collaborates with data engineering and data science teams to ensure alignment.
• Cleans, transforms and preprocesses data for advanced analytics.
• Develops and implements data quality checks and collaborates with engineering to resolve issues.
• Conducts exploratory analysis to identify trends, patterns and anomalies.
• Creates summaries and visualization for the data science team.
• Develops and maintains ETL (Extract, Transform, Load) pipelines to ensure data availability for downstream processes.
• Demonstrates and promotes a workplace culture of innovation, high performance, accountability, commitment, respect and teamwork.
• Regular attendance.
• Other duties as assigned.
• Supports our BMI Core Values and cultivates a culture of diversity and inclusion.

POSITION QUALIFICATION REQUIREMENTS
Education: Bachelor’s degree preferred.
Experience: Minimum five years of experience building and maintaining data pipelines. Minimum five years of experience working in a large data environment. Minimum five years of experience with data modeling tools (e.g. Erwin).

SKILLS AND ABILITIES 
Which may be representative but not all inclusive of those commonly associated with this position.

• ETL processes with Databricks experience a plus.
• Experience in normalized, dimensional, star schema and snow-flake models.
• Proficient in Python (especially Pandas, NumPy, Matplotlib, Seaborn, etc.), PySpark experience preferred, and SQL.
• Familiarity with the Databricks workspace, notebooks, and jobs, including automation and orchestration using Azure Data Factory.
• Experience working with Parquet files, Delta Lake, Unity Catalog, and optimizing data storage within Azure.
• Understanding of data modeling concepts, normalization techniques.
• Ability to develop and implement data quality checks.
• Experience with version control systems like Git to manage code in a collaborative environment.
• Ability to create data visualizations using tools like Power BI or Plotly to support preliminary analysis.
• Strong communication skills to collaborate effectively with data scientists, data engineers, and stakeholders across the business.
• Well versed with software engineering processes (especially Agile).
• Strong analytical and problem-solving skills.
• Organized, goal-oriented, self-starter, can manage multiple tasks from start to completion with limited supervision.
• Ability to effectively present information and respond to questions.
• Knowledge of entertainment industry a plus.

SALARY RANGE
The specific base salary offered to a successful applicant will be based on individual qualifications, skills, experience, and education. The pay range is subject to change at any time based on various internal and external factors. The position may also be eligible for one or more performance-based bonuses. In addition to cash compensation, BMI offers a competitive portfolio of benefits to its employees, as described below.

What We Give to You:

• Health, dental, and vision insurance
• 401K with employer match
• Flexible spending accounts
• Paid vacation and paid sick/personal time
• 12 paid calendar holidays
• Paid volunteer time off
• Summer hours that offer more time for fun in the sun
• Company paid life insurance
• Up to 12 weeks paid parental leave
• Tuition assistance for qualified team members
• Commuter benefits (New York)
• Amazing and engaging culture
• Employee Resource Groups

BROADCAST MUSIC, INC. IS AN EQUAL OPPORTUNITY EMPLOYER: All applicants will receive equal opportunity for employment without regard of race, color, sex, religion, nationality, age, sexual orientation, gender identity and/or expression, veteran’s or marital status, disability, or any other cultural factor.

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