Senior eCommerce Data Analyst

B&H Photo Video; New York (NY); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive salaries

401K plan

Employee discounts

Job summary

B&H Photo Video in New York City is seeking a Senior Ecommerce Data Analyst to drive data-informed decisions across the website, focusing on customer behavior, site performance, and business impact.

You will partner with Web, Marketing, Product, and Leadership to uncover insights, define KPIs, and shape analytics that power growth across the full customer journey. On-site role at the NYC office, with opportunities to influence strategy and optimization.

Qualifications

• 5–7+ years of ecommerce, digital, or marketing analytics.
• Strong SQL skills across large datasets.
• Experience with BI and visualization tools.
• GA4 event-based tracking and funnel analysis.
• Experience with A/B testing and experimentation.
• Deep understanding of ecommerce metrics: conversion rate, AOV, LTV.
• Cross-functional collaboration and clear communication.

Responsibilities

• Analyze site performance, customer behavior, and conversion funnels.
• Lead measurement strategy and standardize KPIs across teams.
• Build dashboards and reporting frameworks for leadership.
• Partner with Marketing, Product, and Web teams to measure performance.
• Support A/B testing and optimization across channels.
• Improve data pipelines and ensure data quality and accessibility.

Skills

SQL proficiency

Data-driven decision making

Analytical thinking

Communication

Cross-functional collaboration

Education

BA/BS in Statistics/Mathematics/Economics/Engineering/Data Analytics

Tools

Tableau

Power BI

Looker

MicroStrategy

GA4

Google Tag Manager

Job description

At over 50 years old and counting, B&H has built a reputation as the trusted resource for photography and videography enthusiasts via its NYC SuperStore and award-winning website. Known as “The Professional’s Source,” B&H is recognized worldwide for expert guidance, high-quality content, and competitive pricing.

Today, the website is a critical driver of the business, serving as the primary touchpoint for millions of customers across discovery, education, and purchase. As B&H continues to invest in its digital experience, data-driven decision making across the site is more important than ever.

B&H offers competitive salaries, comprehensive benefits, a 401K plan, employee discounts, and opportunities to grow within a high-energy, low-attitude environment.

Reports to

Vice President of Web Experience

Role Overview

This role plays a key part in shaping the performance of B&H’s digital experience. The Senior eCommerce Data Analyst will drive data-informed decisions across the website, with a focus on customer behavior, site performance, and business impact.

Partnering closely with Web, Marketing, Product, and Leadership teams, this role will uncover insights, define KPIs, and influence strategy across the full customer journey, helping ensure the website continues to be a critical growth engine for the business.

Key Responsibilities

Data & Insights

• Analyze site performance, customer behavior, and conversion funnels to identify opportunities for growth and optimization
• Conduct deep-dive analyses to inform key business decisions across traffic quality, engagement, retention, and purchase behavior
• Deliver actionable insights that improve conversion rate, customer experience, and revenue

Measurement & Analytics Strategy

• Own eCommerce analytics roadmap, aligning measurement priorities with business goals
• Lead measurement strategy across the digital experience, ensuring consistent and scalable tracking across platforms
• Define and standardize KPIs across eCommerce and marketing initiatives, including conversion rate, LTV, NPS, and personalization impact
• Ensure accuracy and consistency of tracking frameworks, including GA4 implementation and event-based measurement
• Build and maintain dashboards and reporting frameworks to track business performance
• Translate complex data into clear, actionable insights for stakeholders and senior leadership
• Enable self-service analytics across teams by providing accessible tools and reporting

Cross-Functional Collaboration

• Partner with Marketing, CRM, Product, and Web teams to measure performance across acquisition, engagement, and retention
• Support segmentation and audience analysis to improve personalization and targeting
• Translate business needs into structured analytical frameworks and deliverables

Testing & Optimization

• Lead and support A/B testing and experimentation initiatives across the website and marketing channels
• Develop hypotheses, design tests, and analyze results to inform business decisions
• Foster a culture of experimentation and continuous optimization

Data Infrastructure & Integration

• Work with internal data systems including data warehouse, PIM, and CRM integrations to ensure data accessibility and consistency
• Partner with technical teams to improve data pipelines, tracking, and overall data quality

Requirements

• 5–7+ years of experience in eCommerce, digital, or marketing analytics
• Strong SQL skills with the ability to work across large and complex datasets
• Experience with BI and visualization tools (Tableau, Power BI, Looker, MicroStrategy, etc.)
• Experience with data visualization, including building dashboards and communicating insights effectively
• Hands-on experience with GA4, including event-based tracking and funnel analysis
• Strong experience with A/B testing and experimentation frameworks, including hypothesis development and result interpretation
• Deep understanding of eCommerce metrics, including conversion rate, AOV, LTV, retention, and customer behavior
• Experience working with cross-functional stakeholders and influencing decision-making
• Strong analytical, problem-solving, and strategic thinking skills
• Excellent communication skills with the ability to translate complex data into clear insights
• This role is based on-site at our New York City office (440 9th Ave). Remote work is not available for this position.

Preferred / Nice to Have

• Experience with Python (or similar) for advanced analysis, automation, or modeling
• Familiarity with Google Tag Manager or similar tracking tools
• Experience with customer segmentation, lifecycle analytics, and personalization strategies
• Experience measuring multi-channel marketing performance (paid media, email, organic, etc.)
• Experience with marketing mix modeling (MMM) to evaluate efficiency across channels

Education

BA/BS degree in a quantitative or technical field (e.g., Statistics, Mathematics, Economics, Engineering, Data Analytics) or equivalent experience