Product Analytics Lead – Experimentation & Insights (Hybrid)

1-800-GOT-JUNK?; Overland Park (KS); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Profit sharing

Extended health & dental benefits

Generous PTO

Hybrid work environment

Professional development

Health and wellness programs

Job summary

1-800-GOT-JUNK? is seeking a Product Analytics Lead to own analytics and insights for tests and experiments across our product landscape. You will define success metrics for experiments, establish scalable analytic frameworks, and translate data into actionable insights that influence senior leadership decisions.

You will own end-to-end analytics for all experiments across product experiences—measuring, collecting data, running experiments, and generating insights to drive business impact.

Qualifications

• Strong expertise in business intelligence, dashboarding, and data visualization tools (Tableau, Power BI, Looker, etc.)
• Strong experience with experimentation tools such as VWO
• Deep understanding of product analytics and user behaviour metrics
• Experience working in a cloud-based data warehouse environment (Azure, Snowflake, BigQuery, etc.)
• Strong experience with experimentation frameworks and A/B testing methodologies
• Sets the standard for analytical rigour and excellence across the organisation

Responsibilities

• Conduct and oversee deep, hands-on analysis of product tests and experiments using multiple data sets
• Translate complex behavioral and business data into clear strategic recommendations that influence senior leadership decisions
• Partner with Product and Engineering to define instrumentation requirements, ensuring data is collected safely and accurately, and embedding analytics best practices into the development cycle

Skills

Tableau

Power BI

Looker

A/B testing

Experimentation analytics

Tools

VWO

Azure

Snowflake

BigQuery

Job description

1-800-GOT-JUNK? is seeking a Product Analytics Lead to own analytics and insights for tests and experiments across our product landscape. You will define success metrics for experiments, establish scalable analytic frameworks, and translate data into actionable insights that influence senior leadership decisions.

You will own end-to-end analytics for all experiments across product experiences—measuring, collecting data, running experiments, and generating insights to drive business impact.