Digital Identification Analyst — Data & Music Insights

confidential; United States; On-site; USD 65,000 - 95,000; Full time

Benefits offered by this job

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Job summary

BMI is seeking an Analyst, Digital Identification to combine analytical thinking, technical skills and music industry knowledge to support the performance identification production cycle. You’ll work with data from a variety of sources, execute technical workflows, analyze identification results and help uncover opportunities to improve accuracy, efficiency and identification rates.

This role sits at the intersection of data, technology and music.

Qualifications

• Education: Bachelor’s degree in related field preferred.
• Experience: One to two years related experience or familiarity with an operational/processing role preferred.
• Effective written and verbal communication skills.
• Proficient keyboard and PC skills.
• Basic familiarity with Excel, Access, and SQL.
• Ability to perform well in a fast-paced, detail-oriented work environment.
• Effective decision-making skills to determine when and how to elevate problems or questions.
• Demonstrate a passion for music.
• Foreign language helpful but not required.
• Ability to organize and prioritize work.
• Ability to interact professionally with others at all levels.
• Ability to work in a team or independently with minimal supervision.
• Initiative.
• Good problem-solving ability.
• Personal computer and associated software.
• Normal office equipment.
• License(s)/Certifications Required: None

Responsibilities

• Schedules, executes, and applies results of an established suite of supplementary auto-identification scripts that support BMI’s audio performance identification objectives.
• Executes established market-specific workflows powered by customized applications that assist in the cleansing, formatting, and extraction of usage for downstream identification and distribution.
• Generates and delivers, to the relevant stakeholders, various reports that mine non-identification related data assets in order to assess identification priorities.
• Collaborates with departmental management to coordinate execution of technical tasks related to quarterly close processes, both within the department and the IT department.
• Maintains best practices as learned from continuous training on systems, procedures and decision-making.
• Partners with the IT department to coordinate the ingestion of production and analytical data received from licensees and data vendors.
• Conducts offline ad-hoc data cleansing and formatting for new or non-compliant sources whose music use information is not ready for identification and distribution.
• Maintains BMI’s Digital Audio Distribution Dashboard (DADD) to identify trends in consumption and identification rates.
• Generates and analyzes established KPI reports for all key non-digital markets including terrestrial radio, live concert, airlines, and commercial background music services.
• Synthesizes, summarizes, and communicates findings to departmental leadership to aid in prioritization and resource planning efforts.
• Executes established QA routines and analyzes the results to detect variances and deviations that are indicative of processing or data quality issues.
• Collaborates with supervisor, departmental leadership, and the larger Analytics team to develop new quality assurance reports that aid in the attainment of higher levels of accuracy and efficiency.
• Other duties as assigned.
• Regular attendance.
• Supports our BMI Core Values and cultivates a culture of diversity and inclusion.

Skills

Written and verbal communication

Analytical thinking

Problem solving

Teamwork

Initiative

Organizational skills

Adaptability

Education

Bachelor's degree in related field

Tools

Excel

Access

SQL

Job description

BMI is seeking an Analyst, Digital Identification to combine analytical thinking, technical skills and music industry knowledge to support the performance identification production cycle. You’ll work with data from a variety of sources, execute technical workflows, analyze identification results and help uncover opportunities to improve accuracy, efficiency and identification rates.

This role sits at the intersection of data, technology and music.