Senior Data Analyst

Masterworks•New York, NY

116d•Onsite

About The Position

We are seeking a meticulous and analytical Senior Data Analyst to lead the discovery, evaluation, and integration of third-party data sources. This individual will play a critical role in enhancing our data ecosystem by identifying high-quality third-party data providers, assessing the incremental value they bring to our existing data, and researching innovative audience opportunities.

Requirements

Bachelor’s degree in Data Science, Business Analytics, Economics, or a related field; advanced degree is a plus.
3+ years of experience in a data analyst role.
Strong understanding of data quality metrics, statistical analysis, and evaluation techniques.
Advanced experience with tools such as SQL, Python, R, or similar for data analysis.
Excellent communication skills to effectively engage with internal stakeholders.

Nice To Haves

Experience working with advertising, marketing, or audience data.
Proven ability to evaluate the cost-effectiveness of data partnerships.
Knowledge of emerging trends and innovations in third-party data markets.

Responsibilities

Develop and maintain analytical reports and dashboards to support the Membership Onboarding team, ensuring visibility into key metrics, performance trends, and operational efficiency.
Collaborate cross-functionally with senior leadership, product, operations, and marketing teams to align data insights with strategic business objectives.
Identify opportunities for process improvement and optimization within onboarding workflows through data-driven analysis and actionable insights.
Analyze large and complex datasets to uncover trends, patterns, and correlations that inform decision-making and drive member engagement and retention strategies.
Present findings and recommendations clearly to non-technical stakeholders, translating complex analyses into compelling narratives and visualizations.
Design and implement scalable reporting solutions, ensuring data accuracy, integrity, and consistency across multiple systems and data sources.
Partner with data engineering and analytics teams to improve data models, pipelines, and overall data infrastructure supporting onboarding analytics.
Monitor key performance indicators (KPIs) and proactively surface insights or anomalies to inform strategic decisions and business prioritization.
Contribute to a culture of data excellence, mentoring junior analysts and promoting best practices in data governance, reporting, and analysis.