⭐ Featured

Tandym Group
eCommerce Analytics Manager
This role is for an Ecommerce Analytics Manager focusing on digital analytics, CRO, and product performance. Requires 5+ years in digital analytics, expertise in Google Analytics, SQL, and A/B testing. Permanent position with a hybrid work schedule in Parsippany.
🌎 Country
United States
🏝️ Location
Hybrid
📄 Contract
Full-time
🪜 Seniority
Mid-Senior level
💰 Range
100K+
💱 Currency
$ USD
💸 Pay
$140K - $160K (Yr.)
🗓️ Discovered
August 26, 2025
📍 Location detailed
Troy Hills, NJ
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🧠 Skills
#Product Analytics #Conversion Rate Optimization #Google Analytics
Role description
We are seeking a highly skilled and strategic Ecommerce Analytics Manager to lead digital analytics initiatives that optimize user experience, product development, and business outcomes across our websites and mobile apps. This individual will play a critical role in driving insights and shaping strategy through robust data architecture, advanced reporting, and cross-functional collaboration.
You will be the go-to expert for Conversion Rate Optimization (CRO), experimentation, and digital product performance analytics. We're looking for someone who is intellectually curious, technical, and an excellent communicator who can synthesize complex data into clear, actionable insights for leaders across the organization.
•
•
• Hybrid Work Schedule - 3 Days Onsite in Parsippany
•
•
• Responsibilities:
Lead analytics strategy across our digital platforms (mobile apps and websites). Own the development, maintenance, and improvement of dashboards and reporting tools that provide insights to Product, Marketing, and Executive stakeholders. Provide data-driven recommendations to optimize conversion rates and user experience. Architect and maintain the analytics framework and systems to ensure scalability, accuracy, and performance. Define data governance standards and best practices, including documentation, tagging taxonomy, and event tracking. Support product teams with data that informs roadmap planning, UX enhancements, and feature prioritization. Champion experimentation by guiding A/B and multivariate testing, including design, implementation, analysis, and insights delivery. Collaborate on the integration and optimal use of personalization engines and analytics platforms. Contribute to the development and implementation of AI-driven strategies that improve customer engagement and operational efficiency. Identify opportunities to leverage predictive analytics and machine learning in product and marketing initiatives. Partner with Engineering and Marketing teams to ensure proper tagging implementation and data collection processes. Act as a key liaison between technical and non-technical teams, translating data findings into business language and actionable strategies.
Qualifications:
5+ years of experience in digital analytics, product analytics, or related roles, with a focus on CRO and web/mobile optimization. Strong technical expertise in tools such as Google Analytics, Tableau, Quantum Metric or similar. Experience with A/B testing platforms (e.g., Optimizely, Adobe Target) and personalization technologies. Fluency in SQL and data visualization platforms (e.g., Tableau, Looker, Power BI). Strong understanding of tagging frameworks and event tracking strategy. Demonstrated ability to collaborate with Engineering Teams on scalable data architectures and apply analytics best practices. Proven ability to communicate insights clearly to both technical and executive audiences. Passion for AI/ML technologies and how they can be applied in digital experiences.
We are seeking a highly skilled and strategic Ecommerce Analytics Manager to lead digital analytics initiatives that optimize user experience, product development, and business outcomes across our websites and mobile apps. This individual will play a critical role in driving insights and shaping strategy through robust data architecture, advanced reporting, and cross-functional collaboration.
You will be the go-to expert for Conversion Rate Optimization (CRO), experimentation, and digital product performance analytics. We're looking for someone who is intellectually curious, technical, and an excellent communicator who can synthesize complex data into clear, actionable insights for leaders across the organization.
•
•
• Hybrid Work Schedule - 3 Days Onsite in Parsippany
•
•
• Responsibilities:
Lead analytics strategy across our digital platforms (mobile apps and websites). Own the development, maintenance, and improvement of dashboards and reporting tools that provide insights to Product, Marketing, and Executive stakeholders. Provide data-driven recommendations to optimize conversion rates and user experience. Architect and maintain the analytics framework and systems to ensure scalability, accuracy, and performance. Define data governance standards and best practices, including documentation, tagging taxonomy, and event tracking. Support product teams with data that informs roadmap planning, UX enhancements, and feature prioritization. Champion experimentation by guiding A/B and multivariate testing, including design, implementation, analysis, and insights delivery. Collaborate on the integration and optimal use of personalization engines and analytics platforms. Contribute to the development and implementation of AI-driven strategies that improve customer engagement and operational efficiency. Identify opportunities to leverage predictive analytics and machine learning in product and marketing initiatives. Partner with Engineering and Marketing teams to ensure proper tagging implementation and data collection processes. Act as a key liaison between technical and non-technical teams, translating data findings into business language and actionable strategies.
Qualifications:
5+ years of experience in digital analytics, product analytics, or related roles, with a focus on CRO and web/mobile optimization. Strong technical expertise in tools such as Google Analytics, Tableau, Quantum Metric or similar. Experience with A/B testing platforms (e.g., Optimizely, Adobe Target) and personalization technologies. Fluency in SQL and data visualization platforms (e.g., Tableau, Looker, Power BI). Strong understanding of tagging frameworks and event tracking strategy. Demonstrated ability to collaborate with Engineering Teams on scalable data architectures and apply analytics best practices. Proven ability to communicate insights clearly to both technical and executive audiences. Passion for AI/ML technologies and how they can be applied in digital experiences.