Responsibilities:

• Lead a team of embedded analysts across marketing and product management, ensuring strategic alignment and rapid executional excellence.
• Design and apply advanced analytical techniques to address business challenges, such as customer acquisition, virality, and maximizing lifetime value.
• Analyze business performance and trends, providing weekly actionable insights and root-cause analysis for rapid decision-making across commercial verticals.
• Collaborate with Commercial leaders and Finance 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 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.
• Implement data governance, quality, and security best practices to ensure data integrity and accuracy.
• Develop and maintain performance metrics, KPIs, and experiment results for regular reporting and analysis to stakeholders and executive leadership.
• Stay current with new technologies, methods, and industry trends to maintain the company’s data-driven innovation edge.
• Exhibit leadership by personally carrying out advanced data analysis, pinpointing data quality concerns, and discovering significant insights.
• Act as a thought leader and advocate for data-driven decision-making, analytics, and experimentation across the organization.

Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field; Master’s degree or higher preferred.
• 8+ years of experience in data analytics, experimentation, or a related field, with a track record of success in driving data-driven decision-making.
• At least 3 years of experience in a leadership role, managing and developing high performing analytics teams.
• Experience in a B2C technology company with a dynamic, fast-paced setting is required; start-up experience is preferred.
• Strong knowledge of statistical analysis, predictive modeling, and experimental design.
• Proficiency in SQL and experience with modern data processing frameworks and tools (e.g., 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, and communication skills, with the ability to effectively present complex data and insights to both technical and non-technical audiences.
• 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" and are genuinely enthusiastic about uncovering new insights and developing advanced analytics models.
• Working leader mentality - you are equally comfortable driving strategic discussions and  roll-up your sleeves to conduct analysis yourself

Why you’ll love working at Curology:

• Amazing team culture and environment
• Awarded Great Place To Work Inc.’s Best Workplace
• Attractive salary and equity packages
• Unlimited, flexible PTO for exempt employees
• Comprehensive benefits: Medical, dental, and vision insurance are covered 90%+ for employees; flexible spending account; 401k
• Paid maternity and paternity leave
• Free subscription to Curology!
• Company-sponsored happy hours and outings

Physical characteristics of work environment:

• Office-based work environment, remotely
• Typing and computer usage throughout the day
• 9-5 business hours M-F
• Must lift and carry a minimum of 15 lbs
• No travel requirements