Business Intelligence Lead, Product Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the primary analytics collaborator for your designated product team.

• Participate fully in sprint reviews, PI planning, and discovery sessions, rather than just supplying data.

• Take ownership of the measurement strategy for your assigned product portfolio.

• Establish KPIs, funnels, and success metrics prior to product launch.

• Serve as the initial contact for product leaders' data requirements, responsible for identifying solutions either internally or in collaboration with other data and analytics teams, including our data science team.

• Assess the effectiveness of the digital product strategy and suggest modifications as necessary to enhance outcomes.

• Develop and manage product performance dashboards in PowerBI that inform critical product decisions.

• Analyze user behavior within the digital experience, including funnel drop-off, feature adoption, session depth, and engagement trends.

• Collaborate with Data Science teams to design and evaluate A/B tests and experiments, effectively communicating results without exaggerating their significance.

• Write and maintain SQL queries and Python scripts to facilitate analysis and automate regular data retrieval.

• Distill complex insights into clear, actionable recommendations for product managers and senior leadership.

⛳️ Requirements

• Bachelor's Degree with 6+ years of experience in product analytics, OR a Master's degree with 4+ years of experience in product analytics, OR 8+ years of practical experience in product analytics without a degree.

• Previous experience integrated within a consumer-focused digital product organization.

• Demonstrated ability to influence product roadmap and prioritization decisions using data.

• Proficient in SQL, Advanced PowerBI, and basic Python.

• Established experience with product funnels and behavioral event data.

• Experience in A/B testing, including test design, statistical analysis, and effective communication with stakeholders.

• Strong understanding of the product development lifecycle and the role of analytics at each phase.

🏝️ Benefits

• Comprehensive medical, dental, and vision benefits.

• 401(k) retirement savings plan.

• Generous time off policies, including paid time off, company and personal holidays, volunteer time off, and paid parental and caregiver leave.

• Short-term and long-term disability coverage.

• Life insurance.