We are seeking a talented and experienced Commercial Insights Analyst role in promoting data-driven decisions and improving the overall effectiveness and efficiency of our business intelligence. You will be responsible for owning reporting on a weekly and monthly basis, improving and automating data-centric workflows, and building dashboards to provide actionable insights. Collaboration with cross-functional teams will be essential to align on business goals, KPIs, and strategies, ensuring that digital efforts are in line with broader company objectives.
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.
Required Qualifications
·Bachelor’s degree in Data Science, Statistics, Mathematics, Business Analytics, or a related quantitative field.
·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.
Preferred Qualifications
·Experience supporting a premium consumer brand with over $200M in annual revenue.
·Proficiency in SQL, Python, or similar languages used for data querying and automation.
·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.
·Previous experience in a Fortune 500 or scaled multi-channel consumer brand is a plus.
