Remote Senior Product Analytics Scientist - Equity

BOLD; Central City (KY); Remoto; USD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity in company

Flexible spending accounts (health, 1+

Internet and home office reimbursement

Medical, dental, and vision

Life & long-term disability insurance

Wellness reimbursement

Flexible Time Away

Flexible PTO

Sick time policy

Observed holidays

Descrizione del lavoro

BOLD's Senior Data Scientist, Product Analytics, reports to the VP of Analytics & Data Science, delivering critical insights to business partners and guiding the executive team on product strategy.

You’ll own product performance analyses, drive AB testing, and support data-driven decisions across Product, Marketing, and Finance while partnering with BI and Data Engineering to enhance our analytics infrastructure.

Competenze

• 7+ years of quantitative data analysis experience.
• Strong SQL skills to write complex queries.
• Bachelor's or Master's in a quantitative field.
• Experience with Python/R.
• Proficiency in Tableau/Looker.
• Experience with Google Analytics and Mixpanel.
• Ability to collaborate with Product, Marketing, Finance, and Engineering teams.

Mansioni

• Conduct in-depth analysis to uncover opportunities for improving our products.
• Proactively generate data-driven insights and communicate to stakeholders.
• Collaborate with Engineering to advance data infrastructure and governance.

Conoscenze

Data analysis

SQL

Python

R

Stakeholder communication

Project management

Experimentation & AB testing

Formazione

Bachelor's or Master's degree in a quantitative field

Strumenti

Tableau

Looker

Mixpanel

Google Analytics

Descrizione del lavoro

BOLD's Senior Data Scientist, Product Analytics, reports to the VP of Analytics & Data Science, delivering critical insights to business partners and guiding the executive team on product strategy.

You’ll own product performance analyses, drive AB testing, and support data-driven decisions across Product, Marketing, and Finance while partnering with BI and Data Engineering to enhance our analytics infrastructure.