Data Analyst, Digital Finance
The Data Analyst, Digital Finance at Confidential Client is responsible for maintaining and improving data reporting and analytics to support market intelligence and financial insights for the digital business. This role involves building and managing data pipelines, creating dashboards for senior executives, and collaborating with internal teams and external partners to provide actionable data insights within the music industry. The position requires strong technical skills in data warehousing, SQL, and data visualization, combined with the ability to communicate effectively across diverse stakeholders.
About CareerTakes
CareerTakes is a next-generation AI recruiting platform that connects early-career talent with real roles at established companies across regulated industries.
👉 Important disclosure: CareerTakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Entertainment Providers, Musicians, Book and Periodical Publishing.
Applicants for this role may also receive access to additional matched opportunities through the CareerTakes platform.
Position Overview
This is a full-time Data Analyst, Digital Finance role supporting a confidential client in the music & publishing space. The role focuses on building and maintaining financial and commercial data pipelines, standardizing reporting, delivering executive-ready dashboards, and supporting digital licensing and revenue analytics. This is a hybrid role requiring a minimum of 3 days per week in the Los Angeles, CA office.
What You’ll Do
You will partner with cross-functional teams across finance, digital licensing, and market intelligence to deliver accurate, actionable financial and operational reporting for the digital business.
- Design, build, and maintain data pipelines and a single source of financial truth for digital revenue and licensing.
- Develop, standardize, and improve reporting templates used across markets and partners.
- Source, clean, validate, and integrate diverse and unstructured data sets (streaming, licensing, partner reports, internal accounting feeds).
- Build and maintain analytics dashboards (Tableau, Looker, PowerBI, Domo, etc.) to summarize performance for senior leadership.
- Produce ad-hoc analyses and data summaries to support license negotiations and commercial decision-making.
- Collaborate with internal stakeholders and external partners to source data and improve data quality and processes.
- Identify recurring manual tasks and partner on automation and ETL/ELT improvements.
- Ensure data models and reporting follow strong governance: schema design, table structuring, data validation, and traceability.
Minimum Qualifications
- Bachelor’s degree in computer science, engineering, data science, business analytics, finance, or a related quantitative field — or equivalent demonstrable experience.
- 2+ years of experience building clear data views from diverse, unstructured sources at scale (enterprise-level experience preferred).
- Advanced SQL expertise for data warehousing, schema design, and ETL/ELT development.
- Experience building dashboards and visualizations for non-technical stakeholders.
- Clear communication skills; ability to explain analytical findings to technical and non-technical partners.
- Authorized to work in the U.S.; employment contingent on ability to meet eligibility requirements.
Preferred / Nice-to-Have
- 1+ years of experience in the music, publishing, or entertainment industry (digital finance, royalty accounting, or licensing exposure preferred).
- Data transformation experience in Python, R, or Java.
- Experience with modern data stack tools (dbt, Snowflake, BigQuery, Redshift, etc.).
- Familiarity with data science techniques (regression, iterative model building, cross-validation) is a plus.
- Strong Excel modeling skills for ad-hoc financial reconciliation and analysis.
Technical Skills & Tools (Keywords we prioritize)
- Data Analyst, Digital Finance, financial reporting, digital licensing
- SQL, data warehousing, ELT/ETL, data pipelines, schema design
- Python, R, data transformation, data validation
- Tableau, Looker, PowerBI, Domo — analytics dashboards and visualization
- Data governance, data quality, automation, dbt, Snowflake/BigQuery/Redshift
- Excel, regression analysis, data science basics
Compensation & Logistics
- Employment type: Full-time (direct hire by confidential client).
- Work location: Los Angeles, CA — hybrid; minimum 3 days/week onsite.
- Salary range: $65,000 to $75,000 annually. The actual base pay offered will depend on factors such as experience, skills, and business needs. This range is provided in compliance with applicable pay transparency requirements and may be adjusted over time.
- Note: Employment is subject to verification of eligibility to work in the U.S. and other lawful screening processes as required.
How to Apply
CareerTakes will manage the initial screening and application routing. Applicants who move forward will be considered by the confidential client for next steps, which may include technical exercises, interviews, and reference checks. Please be prepared to provide a resume and any relevant portfolio links or dashboards.
If you need an accommodation during the application or interview process, please contact CareerTakes so we can work with the confidential client to support reasonable accommodations.
Equal Opportunity & Hiring Transparency
CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.