Job Description
About the position Responsibilities • Support cross-functional teams (including Marketing, Ecommerce, Retail, Merchandising, Product, and Finance) with weekly and monthly reporting, delivering comprehensive insights on business performance, customer behavior, and key operational metrics • Collaborate with cross-functional teams to align on business goals, KPIs, and strategies, ensuring that data and reporting support informed decision-making at all levels of the organization • Partner closely with marketing and channel-specific teams to deliver data-driven recommendations that optimize outcomes and improve overall business ROI • Collaborate with internal and external stakeholders to enhance reporting efficiency and scalability by automating workflows and dashboards across departments • Design and implement advanced data models and structures to support interactive dashboards and visualizations tailored to various teams' strategic and operational needs • Ensure data integrity by proactively monitoring data quality and troubleshooting validation issues from identification through resolution • Act as a liaison with IT to communicate and scope technical development needs that support data initiatives and enable deeper analytical capabilities • Stay current with industry trends, best practices in data analytics, and evolving business intelligence tools to continuously improve analytical capabilities and business impact • Conduct ad hoc analysis across departments and channels to support strategic initiatives, uncover opportunities, and guide decision-making Requirements • Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, or a related quantitative field • Minimum of 2 years of experience analyzing KPIs and performance metrics for consumer-facing brands • Proven experience supporting premium consumer or lifestyle brands with an understanding of digital, retail, and omnichannel business models • Hands-on experience with Google Marketing Platform tools, BigCommerce, and GA4/BigQuery • Proficiency in building data visualizations and calculations using Looker, Power BI, or Tableau • Strong ability to collaborate cross-functionally in a fast-paced, evolving business environment • Meticulous attention to detail and a demonstrated commitment to data accuracy and reliability • Strong analytical thinking with the ability to apply consumer insights, seasonal trends, and industry dynamics to reporting and strategic recommendations • Ability to travel 5% Nice-to-haves • Experience supporting a premium consumer brand with over $200M in annual revenue and previous experience in a Fortune 500 or scaled multi-channel consumer brand is a plus • Proficiency in SQL, Python, or similar languages used for data querying and automation and familiarity with data layer architecture, tagging strategy, and web analytics infrastructure • Experience working in a vertically integrated, omnichannel environment with e-commerce and retail components Benefits • Comprehensive and competitive total rewards program • Choice and flexibility in benefits promoting overall well-being • Distinctive Associate Stock Ownership Plan • Potential opportunities for profit-sharing Apply tot his job