The People Brand

Commercial Insights Analyst

The People Brand

full-time

Posted on:

Origin:  • 🇺🇸 United States • Montana

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Salary

💰 $130,000 - $150,000 per year

Job Level

JuniorMid-Level

Tech Stack

BigQueryPythonSQLTableau

About the role

  • 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.

Requirements

  • 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.