Job Description

Company Description We are a company with integrated luxury and lifestyle offerings centered on Movement, Nutrition and Regeneration. In addition to Equinox, our other brands, BLINK, PURE YOGA, SOULCYCLE, FURTHERMORE, AND EQUINOX HOTELS are all recognized for inspiring and motivating members and employees to maximize life. Within our portfolio of brands, we have more than 200 locations within every major city across the United States in addition to London, Toronto, & Vancouver.

Job Description Equinox is seeking a Data Analyst to join our Data Insights team. As an Analyst, you will be working with the business and broader Technology groups on various analytic initiatives. You will also have significant exposure to modern data processing and analytic tools.

Qualifications

• You have a bachelor’s degree with a concentration in MIS / Computer Science / Engineering / Data Science
• You have expertise in SQL Server/ Redshift; 10 out of 10 SQL Ninja analytic capabilities (with 1+ Years hands on experience in SQL)
• You have 1+ years working as a Data Analyst with a strong ability to analyze data and perform root cause analysis
• You have the ability to extract information from multiple databases using complex query statements and advanced database tools
• You are able to organize, analyze, and disseminate medium to large amount of information with great attention to detail and accuracy
• You have knowledge of analytic tools like Tableau and Business Objects
• You have exposure to Data Warehouse principles and basic understanding of data modeling concepts and methodologies
• You have experience working with structured and semi-structured data (xml, json)
• You have experience working with ticketing and project management systems (Zendesk, Jira)
• You possess strong documentation and communication skills
• You are creative, flexible, eager to learn, and able to work productively in a multi-project, deadline-driven environment

Additional Information

• Provide data reporting functions to the business and technical community using SQL querying
• Liaise with business and technology partners to build insightful analytical solutions
• Troubleshoot data discrepancies; resolve and articulate them
• Identify areas where operational efficiency can be improved through enhanced automation; implement those enhancements