Business Intelligence Performance Manager
hace 2 meses
Company Description
Founded in 2005, Believe is the worldwide leader in digital audio and video distribution for independent artists and labels. It has established itself as a pioneer in the music industry by combining technological and artistic skills to provide digital distribution expertise.
Believe's mission is to support and develop all artists and labels with care, transparency, fairness, expertise, and innovation in all local markets worldwide.
Your Mission
As a Business Intelligence & Sales Performance Manager of the BI & Sales Performance team, you will generate strategic insights through social, digital, and consumer research tools as well as internal transactional data. You will create dashboards, data analytic tools, and other tools to provide creative solutions to internal daily challenges. You will also be an important part of the development and instillation of an analytical and data-driven culture in the region.
Your Responsibilities
- Explore and extract data from the APIs of major DSPs to provide relevant information for sales teams and decision-makers, collaborating on dashboard ideation and creation.
- Become an in-house expert across all available data sources and empower others to make informed decisions based on researched positions, implementing a data-driven culture.
- Develop creative solutions to fill regional analysis and information gaps, mainly using Power BI dashboards.
- Identify improvement areas and automation possibilities in existing tools and dashboards, increasing efficiency, productivity, and accuracy.
- Identify, analyze, and share market trends and behavior analysis focused on Spanish-speaking markets.
- Act on regional projects, collaborating with Central projects.
- Advocate for business intelligence solutions that help the organization meet its goals and foster a data-minded culture.
- Provide support and analytical guidance to Spanish-speaking regional teams.
- Develop ad-hoc business analysis and projects as assigned, using statistical models and predictive analytical models.
- Support the budget process.
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