Salary Range: 160000 to 205000 (Currency: USD) (Pay period: per-year-salary)

Essential Functions and Impact Areas:

• Lead a team of data analysts and data engineers across commercial and digital product, ensuring strategic alignment and rapid executional excellence.
• Design and apply advanced analytical techniques to address business challenges, such as customer acquisition/growth, maximizing AOV, and driving profitability.
• Analyze business performance and trends, providing weekly actionable insights and root-cause analysis for rapid decision-making across commercial teams.
• Implement data governance, quality, and security best practices to ensure data integrity and accuracy.
• Collaborate with Commercial and Finance leaders for annual and quarterly planning, utilizing consumer engagement data and business insights.
• Establish a strong experimentation culture and processes across analytics and product management teams.
• Develop and implement advanced analytics models, including predictive propensity, marketing mix, and marketing attribution models, to drive revenue and informed decision-making.
• Partner with the data engineering team to design and maintain scalable data pipelines, ETL processes, and data warehousing solutions.
• Incorporate data and insights from an omnichannel perspective (e.g. retail, Amazon) to inform a more holistic view of our business.
• Develop and maintain key performance metrics for regular reporting and analysis to stakeholders and executive leadership across the full funnel.
• Stay current with new technologies, methods, and industry trends to maintain the company’s data-driven innovation edge.
• Exhibit ownership and leadership by personally carrying out advanced data analysis, pinpointing data quality concerns, and discovering significant actionable insights.
• Thought leader and advocate for data-driven decision-making, analytics, and experimentation across the organization.

Minimum Requirements:

• 8+ years of experience in data analytics, experimentation, or a related field, with a track record of success in data-driven decision-making.
• 3+ years of experience in a people management role, demonstrated ability to manage and develop high performing data teams. Data Analytics experience required; Data Engineering experience a plus.
• Experience in a DTC technology company with a dynamic, fast-paced setting strongly preferred; consumer goods experience is a plus.
• Proficiency in SQL and experience with modern data processing frameworks and tools (e.g., Hex, Python, R, Tableau, Power BI, Hadoop, Spark).
• Experience with cloud-based data platforms and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Exceptional problem-solving, critical thinking, adaptability, and communication skills; strong ability to effectively present complex data and insights to both technical and non-technical audiences.
• Proficiency in statistical analysis, predictive modeling, and experimental design.
• Experience with retail and POS data a plus.
• Proven ability to collaborate and build strong relationships with cross-functional teams and stakeholders at all levels.
• Inquisitive by nature - you relentlessly pursue understanding the "why"; genuinely enthusiastic about uncovering new insights and developing advanced analytics models.
• Working leader mentality - you are equally comfortable driving strategic discussions and  rolling up your sleeves to conduct analysis yourself.

You’ll Love Working at Curology Because:

• Competitive salary and equity packages
• Comprehensive benefits: medical, dental, and vision insurance for employees; flexible spending account; 401k; mental health & wellness programs
• Home office setup stipend
• Minimum Time Off policy (unlimited PTO, with at least 3 weeks off) for exempt employees
• 11 company observed holidays
• Additional holidays: Curology days off (1 per quarter), 1 annual floating holiday (employee’s choice), and Gratitude Week (employees take the full week of Thanksgiving off; business critical teams observe different days)
• Paid parental leave
• Employee donation matching program   
• Company-sponsored events 
• Free subscription to Curology or Agency

Physical Characteristics of Work Environment

• Remote-based work environment
• Typing and computer usage throughout the day
• 9-5 business hours M-F (business hours may depend on regional and local timezones)
• Occasional travel requirements to office or offsite