Digital Insights Analyst

Overview

The Digital Insights Analyst plays a key role in helping the organization understand how users engage with our digital experiences and content. This role supports data-driven decision-making by ensuring digital data is accurate, accessible, and translated into clear, actionable insights. Partnering with cross-functional stakeholders, the analyst transforms web and marketing data into reporting, analysis, and recommendations that improve outcomes across Pampered Chef’s digital presence, with a strong focus on supporting digital product analytics and digital marketing analytics across multiple initiatives.

This role is ideal for an analytically curious, early-career professional who is eager to build strong foundations in digital analytics, SQL-based analysis, and business intelligence reporting, and is motivated to take on increasing complexity and contribute to how data informs digital strategy over time.

• Digital Analytics Support:
  Work with Google Analytics (GA4) data to support digital product analytics and digital marketing analytics, analyzing user behavior, traffic patterns, and engagement across multiple websites and digital marketing touchpoints.
• SQL-Based Analysis:
  Query databases using SQL to extract, clean, and analyze data at the event, session, and user level to support reporting and ad-hoc analysis.
• Reporting Development:
  Build and maintain digital reports and dashboards in Power BI, ensuring data is accurate, clearly presented, and aligned to defined metrics and KPIs.
• Data Integrity & Tracking Support:
  Assist with basic tag implementation and maintenance in Google Tag Manager (GTM), validating data-layer outputs, identifying data issues, and documenting metric definitions and reporting logic.
• A/B Testing and Experimentation:
  Assist with A/B testing and analysis to help stakeholders understand the impact of digital experience changes.
• Insight Generation:
  Translate raw data into insights and observations, asking thoughtful questions and challenging assumptions to help stakeholders better understand performance and opportunities for improvement.
• Stakeholder Support:
  Respond to analytics requests from digital product, digital marketing, and other web-forward teams within the organization, helping clarify questions and ensuring analysis aligns with the underlying business need.
• Learning & Growth:
  Continuously build knowledge of digital analytics best practices, GA4 capabilities, SQL techniques, and data visualization standards.

• Questions about digital performance are answered with clear, well-reasoned analysis, not just raw numbers.
• Stakeholders trust the data and increasingly rely on this role for clarity on digital performance.
• Over time, this analyst demonstrates growing independence, stronger analytical judgment, and deeper understanding of the digital ecosystem.

• Are curious, analytical, and enjoy figuring out how things work.
• Have a strong interest in digital analytics and user behavior.
• Are comfortable working with numbers and structured data, even when the problem is initially unclear.
• Communicate clearly and are willing to ask questions to understand the “why,” not just the “what.”
• Take pride in accuracy, organization, and continuous improvement.
• Take initiative in exploring questions, refining analyses, and following insights through to meaningful conclusions.
• Are excited about developing into a more senior analytics role over time.

• 0–2 years of experience in an analytical, reporting, or data-focused role (internships, co-ops, or relevant academic projects included).
• Bachelor’s degree in business analytics, economics, statistics, MIS, computer science or a related quantitative discipline. Graduate degree (MBA or Master’s) preferred.
• Experience with data aggregation and manipulation tools, such as Microsoft Excel.
• Exposure to digital analytics platforms (GA4 and Google Tag Manager preferred).
• Exposure to digital marketing platforms, such as Google Ads and Bloomreach.
• Working knowledge of SQL, including basic querying, joins, and aggregations.
• Familiarity with data visualization or business intelligence tools (Power…