Data Analyst - Miami

Company Description

Duetti, founded in 2022, is on a mission to revolutionize the financial landscape for independent music artists. Our innovative model provides immediate cash flow options, enabling artists to monetize their master catalogs, individual tracks, or parts thereof—a unique opportunity that was once exclusive to a select group of A-list artists.

We employ a highly scalable data-centered approach to catalog pricing and management, utilizing cutting-edge prediction and risk assessment methodologies alongside innovative optimization tactics.

Founded by Lior Tibon, former COO of TIDAL, and Christopher Nolte, former Business Development executive at Apple Music, Duetti publicly launched in May 2023 and now has over $120 million in funding from Nyca, North Leaf, Viola Ventures, Viola Credit, Roc Nation, and other top VCs. Duetti has already funded hundreds of independent artists, with deals reaching up to $2M per artist.

With offices in New York City, Los Angeles, and Miami, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model.

Join us on this transformative journey as we reshape the financial landscape for artists. Duetti provides an inspiring and familial yet ambitious work environment, where your expertise and creativity will contribute to reshaping the future of artist monetization and make an immediate tangible impact on artists’ lives.

Job Description

Data is at the very core of Duetti's offering and value creation. We price tracks based purely on data and utilize it to identify optimization opportunities. Duetti already possesses public and proprietary sources that provide comprehensive insights into millions of tracks. As an early member of the data team, you will play a pivotal role in utilizing data to directly impact the lives of artists, as well as influencing all aspects of Duetti's product and business.

As a Data Analyst, you will be tasked with creating a bridge between our data scientists and our internal investment team, as well as potentially working with external artists and the optimization / marketing team. Your expertise will be crucial in facilitating effective communication and collaboration among these stakeholders.

We are seeking data analysts who like to solve problems and dig deeper. Someone who has demonstrated experience in building robust data tools and visualizations that drive key decision-making processes. Previous experience in the streaming industry, particularly music streaming, is highly desirable. Additionally, the ability to work autonomously and efficiently, even with limited resources, will be an asset in this role.

Join our team and become part of a collaborative and innovative environment, where your analytical skills will have a significant impact on our business decisions. We offer a competitive compensation and benefits package, along with ample opportunities for professional growth and development.

• Collect, clean, and transform large datasets from various sources for analysis.
• Analyze complex datasets to identify patterns, trends, and insights that support business decision-making.
• Develop and maintain data models, dashboards, and reports to track key performance indicators and provide actionable recommendations.
• Collaborate with cross-functional teams to define data requirements and ensure data quality and accuracy.
• Identify and implement process improvements to enhance data collection, storage, and analysis efficiency.
• Provide data-driven insights and recommendations to stakeholders, enabling them to make informed business decisions.
• Conduct ad-hoc data analyses and generate reports as requested by internal teams.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Analyst or similar role, preferably in a fast-paced environment.
• Strong proficiency in Python and SQL for data manipulation, analysis, and visualization.
• Proficient in data querying, transformation, and analysis.
• Solid understanding of statistical concepts and experience with statistical analysis.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
• Familiarity with data warehousing concepts and working knowledge of relational databases.Ability to work with large datasets and perform complex data manipulations efficiently.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to present complex data insights in a clear and concise manner.
• Proactive and self-motivated with the ability to work independently and in a team environment.
• Experience in machine learning and advanced analytics techniques is a plus.
• A love for music and culture, and a desire to be at the forefront of new business models for artists is a plus