Sr Director, Data & Analytics

About Nanit:

Welcome to Nanit, the high-growth baby tech company that is changing the way parents view their babies' wellness through the world’s most advanced baby monitor and parenting products. In 2016, the Nanit baby monitor revolutionized the industry with computer-vision and machine-learning capabilities that helped parents understand their baby’s sleep patterns and allowed them to achieve better sleep quality. Now, the company has become the leader in the connected parenting space, with an incredible customer base of highly-engaged parents who look to Nanit as a source of information and expertise on their parenting journey.

About the Role:

We are seeking an experienced leader for our data science and business intelligence team to unlock the power of Nanit’s data to drive our strategy and decision making. You will be responsible for leading a team of BI analysts, data scientists and data engineers in extracting, analyzing and creating insights out of data. This role will work closely with the entire c-suite to deliver valuable business insights. The ideal person will be a player-coach, providing strategic vision while staying close to the details.

What you'll be doing:

• Lead Nanit’s strategic direction and vision for data, analytics, and BI by defining data needs, drawing insights from the exploration of data, and feeding requirements back to product teams to make modifications to collect or leverage data in new beneficial ways
• Own and refine Nanit’s data infrastructure and architecture to support company-wide analysis and reporting across products
• Lead the development of data pipelines, ensuring scalability, reliability, and efficiency to support the growing data needs of the company.
• Lead a team of Data Engineers, BI Analysts and Data Scientists who support various functional areas of the business, including mentorship and technical skills development
• ​​Partner with senior leadership across Revenue, Marketing and Product to map business challenges and opportunities to known and unknown data and translate these business needs to technical requirements
• Develop dashboards, reporting, and other data products (such as simulation tools) that empower self-service, data-driven decision making
• Consult with leaders across the business to develop analytics roadmaps with particular emphasis on insights that accelerate growth across all aspects of the business
• Communicate complex data analysis and findings effectively to both technical and non-technical audiences
• Ensure high standards for data quality, governance, and privacy, maintaining compliance with industry regulations.

Who you are:

• BA/BS in Economics, Statistics, Analytics, Data Science, Computer Science, or other quantitative field, Master’s or PhD in a related field is a plus
• 8+ years of experience in a data analytics or data science role and managing a small team, preferably working in a consumer subscription based business model
• Demonstrated ability to independently plan and execute repeatable analyses and recommend actionable strategy
• Ability to translate business strategies into multiple, interrelated projects and lead cross-organizational, cross-functional projects
• Excellent communicator who easily bridges the gap between data and business owners
• Creative thinker, adept at understanding a wide breath of retail analytics use cases and identifying the data and analytics necessary to make them into a reality
• Proficiency in programming languages such as Python, R, or SQL; familiarity with big data frameworks (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP, or Azure).
• Advanced knowledge of Looker, including architecting and building efficient LookML, maintaining user-friendly self-service explorers, and creating executive level dashboards.
• Knowledge of data warehousing, ETL processes, and best practices for data management
• Prior experience in people and team management of 3-5 years 
• Demonstrated success working in a fast-paced, swiftly-changing startup environment

What we are looking for:

• Advanced Degree: BA/BS in Economics, Statistics, Analytics, Data Science, Computer Science, or other quantitative field, with a Master's or PhD in a related field preferred.
• Extensive Data Experience: 8+ years of experience in a data analytics or data science role, including managing a small team, ideally within a consumer subscription-based business model.
• Technical Proficiency: Proficiency in programming languages (Python, R, SQL), big data frameworks (Spark, Hadoop), and cloud platforms (AWS, GCP, Azure