United States onlyMission of the RoleThe Associate Director, Data & Analytics a is a strategic leader responsible for building a high performing Data Analytics & Data Engineering function. The ideal candidate will be an infectiously curious leader with an extensive background in data analysis. You will operate as a player-coach, adept at steering the strategic direction of our data initiatives and providing actionable insights to fuel business growth, while also partnering closely with your team to build our data foundations. This position will report to the VP, Insights & Analytics and will oversee a team of 7.
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.
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
Curology encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions, and ages, as well as veterans and individuals with disabilities. We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities for employment. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records Notice to Applicants under the CCPA.
Curology participates in E-Verify.
