Operations Analyst, Data and Performance

Established in 1744, Sotheby’s promotes access and ownership of exceptional art and luxury objects through auctions, private sales and retail. Our deep expertise across 70 selling categories is supported by a leading technology platform and a global network of specialists spanning 40 countries. Selling categories include Contemporary Art, Modern and Impressionist Art, Old Masters, Chinese Works of Art, Jewelry, Watches, Wine and Spirits and Design, as well as collectible cars and real estate through RM Sotheby’s and Concierge. Sotheby’s Financial Services is a leading art lender and provides capital solutions for collectors around the world, having originated more than $12 billion in loans since its inception. Sotheby’s new global headquarters is now open at the iconic Breuer building at 945 Madison Avenue in New York City.

The Operations Analyst will be a key member of the Data & Performance Operations team, responsible for ensuring operational teams have the data, insights, and tools they need to effectively manage performance and monitor their activity. The role sits at the intersection of operations, analytics, and process improvement, with the aim to translate business needs into scalable reporting and operational solutions that drive efficiency and informed decision-making.

This is a cross-functional role, where the analyst will partner closely with multiple regional and global operations teams and with product & tech teams to gather business requirements and implement improvements that enhance visibility, productivity, and performance.

• Partner with operational teams to understand reporting requirements and translate business needs into actionable data solutions
• Develop, maintain, and enhance KPI reporting, dashboards, and performance scorecards
• Ensure stakeholders have timely, accurate, and relevant data to monitor activity and drive operational decisions
• Conduct data analysis to identify trends, risks, bottlenecks, and opportunities within operational processes
• Use data-driven insights to support strategic initiatives and continuous improvement efforts
• Identify opportunities to improve data visibility, consistency, and reporting effectiveness across teams

• Identify operational pain points, inefficiencies, and manual workarounds across end-to-end processes
• Analyze these processes and data flows to uncover opportunities for optimization and automation
• Support the opportunities and solutions to reduce manual effort and enable teams to focus on higher-value activities

• Support alignment across stakeholders through clear, structured communication
• Translate complex analysis into simple, actionable narratives
• Develop materials that support decision-making and track progress against key initiatives
• Communicate changes effectively to support adoption across regions

• 2–4 years of experience in operations, consulting, or similar execution-focused roles
• Strong analytical capabilities: data-driven mindset with strong problem-solving capability
• Effective communicator across functions and levels
• Demonstrated ability to take ownership of projects or workstreams and deliver against defined outcomes
• Comfortable managing multiple priorities in a fast-paced environment
• Experience contributing to process improvement, redesign, or operational initiatives
• Experience building dashboards and working with operational data
• Advanced Excel required
• SQL preferred
• Exposure to automation tools, workflow optimization, or AI-enabled processes preferred

This role goes beyond reporting. It is designed for a highly analytical and curious individual who can understand complex operational processes, identify root causes of challenges, and develop practical solutions that deliver measurable impact.

The proposed base salary for this position ranges from $70,000-$75,000. In addition to base salary successful candidates are eligible to receive a discretionary bonus, as well as a competitive benefits package. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered.