Data Developer

New York City / Remote

Applications have closed

Sotheby's

Sotheby's is the premier destination for auctions and private sales of Contemporary, Modern & Impressionist, Old Master Paintings, Jewelry, Watches, Wine, Decorative Arts, Asian Art & more

View company page

ABOUT SOTHEBY'S

Established in 1744, Sotheby’s is the world’s premier destination for art and luxury. Synonymous with innovation, Sotheby’s promotes access, connoisseurship and preservation of fine art and rare objects through auctions, private sales and retail locations. Our trusted global marketplace is supported by a network of specialists spanning 40 countries and 50 categories, which include Contemporary Art, Modern and Impressionist Art, Old Masters, Chinese Works of Art, Jewelry, Watches, Wine and Spirits, and Interiors, among many others.

 

THE ROLE

The Sotheby's Data & Analytics team is looking for a data developer to help accelerate our ability to prepare data for analysis and reporting. This role is responsible for modeling data according to the business logic used across the company. They will work with both data engineers and data team members to ensure data is modeled consistently and provides a solid foundation for business partners to build upon. They will be tasked with ensuring data quality and integrity as it reaches end users.

RESPONSIBILITIES

  • Understand business requirements from various team members and plan a solution to address data requirements
  • Collect, refine, and prepare data for analytics and visualization
  • Build repeatable data models using dbt for use across the company
  • Optimize queries to improve performance and runtimes
  • Work with upstream and downstream collaborators to maintain a cohesive data modeling strategy
  • Define new critical metrics and analyze them to form actionable recommendations
  • Tackle any data or performance issues related to workbooks and data sources

IDEAL EXPERIENCE & COMPETENCIES

  • Bachelor's degree in analytics related field
  • Experience with Tableau or other visualization tools
  • Understanding of Data Modeling Principles and ETL principles
  • Proficient in SQL, able to take abstract requirements and create SQL queries, working with structured and unstructured data, joining large and complex data sets
  • Excellent verbal and written communication skills; professional and adaptable

The proposed base salary for this position ranges from $85,000-$100,000. 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.

To view our Candidate Privacy Notice for the US, please click here.

To view our Candidate Privacy Notice for the UK, Hong Kong, France and Switzerland, please click here.

The Company is an equal opportunity employer and considers all applicants for employment without regard to race (including, without limitation, traits historically associated with race, such as natural hair, hair texture, and protective and treated or untreated hairstyles), color, creed, religion, sex, sexual orientation, marital or civil partnership/union status, national origin, age, disability, pregnancy, genetic predisposition, genetic information, reproductive health decision, sexual orientation, gender identity or expression, alienage or citizenship status, domestic violence victim status, military or veteran status, or any other characteristic protected by federal, state/province or local law. The Company complies with applicable state and local laws prohibiting discrimination in employment in every jurisdiction in which it operates.

Tags: Data quality dbt ETL Privacy SQL Tableau Unstructured data

Perks/benefits: Competitive pay Health care

Regions: Remote/Anywhere North America
Country: United States
Job stats:  14  3  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.