Job Description

Job Responsibilities:

• Strategic analysis and reporting: Drive strategic analysis and deep dives to be shared with senior leadership.
• Build and maintain reporting dashboards that track the performance of our marketing and personalization efforts.
• Continually evolve analytics processes and tools; incorporate new sources of data to improve understanding of the business and customers.
• Collaborate with BI team to build reporting solutions using Tableau, SQL and other data-warehousing and BI technologies
• Collaborate with stakeholders to understand business problems, provide data insights to help make business decisions
• Marketing optimization: Drive customer insights to help marketing reach out to a customer with the right product, at the right time and with the right message.
• Test planning and measurement: Build relevant KPIs to monitor the effectiveness of SEA marketing campaigns and personalization efforts. Own A/B testing framework to understand optimal option for the customer. Compare programs and highlight what is working vs. what is not working. Analyze and develop data to help business pivot and create new offerings/ campaigns.
• High Value actions (HVAs): Identify and quantify customer actions that drive increased customer engagement and spend downstream, unlocking business value. Drive alignment with Marketing, Demand Generation and Product teams on importance of these customer actions in order to help prioritize a) campaigns/experiences focused on driving the right HVA while offering b) the right incentive, in order to unlock maximum value

Preferred Qualifications/Skills

• Bachelors’ Degree in a quantitative field (Mathematics, Engineering, Operations Research, Statistics etc.).
• 5+ years of hands-on experience in Data Analytics or related roles such as Quantitative Marketing or Operations Research.
• 3+ years of experience in data manipulation using SQL.
• 2+ experience with design, execution, and measurement of A/B tests.
• 3+ years of experience building data visualizations using tools like Tableau.
• 2+ years of experience with statistical analysis and predictive modeling using tools such as R, STATA, SAS, Python, etc.
• Experience in an eCommerce and/or Digital Marketing environment.
• Succinct, proactive communication; translate data analytics into business solutions.
• Proven experience in managing multiple tasks simultaneously with a rigid determination to meet deadlines.
• Comfortable to work with people from a broad range of backgrounds from highly technical to marketing to sales/business.