Based in New York, New York, the Associate Director of Analytics and Data Engineering will be responsible for leading data intelligence at Studs. The Associate Director will manage full-stack data engineering and architecture with extensions that support timely business decision making. The Associate Director will be a hands-on organizational leader with the ability to evolve the tech stack to support the strategic interests of a fast-growing business.

The ideal candidate will have a strong background in data analysis, reporting, and data visualization and be familiar with modern data stack tools such as Snowflake, Dbt, Airbyte, Looker, Hex, etc.

Salary Range: $135,000-$175,000

Key Responsibilities:

• Build and lead a data analytics function from the ground up, including building and managing robust data pipelines, data infrastructure, analysis, visualizations, reporting, etc.
• Develop and maintain company-wide KPIs and dashboards to provide visibility into business performance and trends.
• Partner with cross-functional teams to identify business challenges and opportunities and develop data-driven solutions.
• Provide thought partnership to the leadership team on insights and decisions based on data analysis and visualization.
• Drive data governance and ensure data integrity, consistency, and accuracy.
• Develop and maintain the data infrastructure and tools necessary for efficient and effective analytics using the modern data stack.
• Stay current with emerging technologies, trends, and best practices in analytics and data management.

Requirements:

• Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Economics, or Computer Science.
• 5-7+ years of leadership experience in analytics and data engineering, with a demonstrated ability to develop people-friendly systems that support business growth and innovation.
• Two years of experience supporting the data intelligence needs of a consumer products or services company.
• Experience building and managing robust data systems with tools in the modern data stack: SQL, Python, etc.
• Strong analytical skills and experience with statistical analysis and predictive modeling.
• Experience working with ecommerce data and digital marketing platforms such as Google Analytics, AdWords, TikTok and Facebook Ads.
• Strong communication and presentation skills, with the ability to present complex data insights in a clear and concise manner to both technical and non-technical audiences.
• Experience working in a fast-paced, dynamic environment with the ability to manage multiple priorities and stakeholders.
• Driven, creative problem solver that consistently acts with integrity and speaks up
• Owner’s mindset, with the ability to approach feedback and problems with a positive attitude.

Benefits & Perks

• Comprehensive medical, dental, and vision insurance, as well as 401k
• Flexible Work Environment (3 days in office, 2 days work from home)
• 4 weeks accrued Paid Time Off, 7 days accrued Sick Time, 11 paid holidays, and 4 Quarterly Wellness Days (where the whole team takes time off together to recharge)
• Three months of paid Parental Leave (biological, adoptive, and foster parents are all eligible)
• A paid sabbatical after four years of full-time service
• Exclusive employee piercing and jewelry discounts (plus discounts for friends and family)
• Equity plan for all Senior Managers and above (both corporate and retail employees)
• Quarterly learning and development opportunities to support internal mobility and foster an inclusive culture