Data Analyst
New
T
TalentCrossMusic technology
Source API remote eligibility restrictions: Argentina, Belize, Bolivia, Brazil, Chile, Colombia, Costa Rica, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Guatemala, Guyana, Honduras, Nicaragua, Panama, Paraguay, Peru, Suriname, Uruguay, Venezuela; Fully remote role within the LATAM time zones., LATAM time zonesFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English proficiency (Native or equivalent level).
- Experience
- 3+ years of experience in data analysis or reporting, preferably in media, technology, or entertainment.
- Required Skills
- SQLData AnalysisMicrosoft ExcelData visualizationGoogle Sheets
Requirements
- Manage and analyze structured datasets.
- Have experience with database management and querying tools, such as SQL.
- Have advanced Google Sheets or Excel skills, including formulas, pivot tables, and data visualization.
- Have 3+ years of experience in data analysis or reporting.
- Have English proficiency at a native or equivalent level.
- Create clear and visually appealing reports.
- Familiarity with data scraping tools or APIs is a plus.
- Data analysis or visualization certifications are preferred but not required.
- Experience in media, entertainment, or technology-related industries is preferred.
Responsibilities
- Manage data licensing processes and deliver accurate, timely data exports to clients.
- Oversee the creation, updating, and distribution of industry reports.
- Identify new reports and insights that can be packaged and shared regularly.
- Collaborate with clients purchasing data-related consultation services and custom reporting.
- Support ad-hoc data projects with research and analytical insights.
- Compile, analyze, and format industry metrics and metadata.
- Research and validate additional data for reporting purposes.
- Provide data support for sales proposals and client requests.
- Develop tools and templates to streamline data processing and report generation.
- Collaborate with Commercial and Product teams on client requests, data gaps, and collection and automation improvements.
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