The People Brand
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. $130,000 - $150,000 a year #J-18808-Ljbffr
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. $130,000 - $150,000 a year #J-18808-Ljbffr