Yelp helps people find great local businesses through crowdsourced reviews and paid advertising services. As an employer, Yelp aims to build a world-class team
Senior Analyst, Product Analytics
Location
United States
Posted
143 days ago
Salary
$105K - $130K / year
Seniority
Senior
Job Description
Senior Analyst, Product Analytics
Yelp
• Embed with a cross-functional team trying to improve a specific part of Yelp’s product and become a subject matter expert in that area. • You’ll provide the analytical backing for tactical decisions and broad-reaching strategy. • Lead analytics projects core to Yelp’s business, communicate key insights to decision makers, and help product leaders uncover new opportunities. • In short, excel at connecting business context to statistically sound analysis. • Manage tight deadlines and quickly iterate on analyses to answer business questions, deliver actionable learnings, and make strategic recommendations. • Design, execute, and analyze business and user experiments to improve Yelp’s products. • Think critically about experimental design and advocate for thoughtful experimentation. • Collaborate with Product, Engineering, and Design to define and track Yelp’s key product metrics, opportunity size new initiatives, and improve Yelp’s current product ecosystem. • Generate dashboards and automate reports that empower teams across the organization to make data-driven decisions. • Grow and maintain impactful relationships with stakeholders of both technical and non-technical backgrounds with clear and frequent communication.
Job Requirements
- BA/BS or graduate degree, ideally in a quantitative field (mathematics, statistics, economics etc.)
- 2-4 years of relevant industry experience (ideally within a consumer product or ads space)
- Strong SQL skills and proficient in Python to manipulate large data sets.
- An eye for compelling data visualization.
- Experience with related tools (Tableau, Mode, Looker, etc.) is a plus.
- Understanding of statistical inference, experimental design and analytic bias.
- Professional experience in A/B testing is a plus.
- Comfortable using Excel / GSheets for data analysis and compiling results.
- Strong communication skills used to translate between complex data analysis and coherent, compelling insights and recommendations.
- Strong interpersonal skills and ability to work effectively with people from a wide range of technical abilities and levels of leadership.
Benefits
- Full medical, vision, and dental
- 15 days PTO (accrual begins on date of hire and increases with 2+ years of tenure thereafter)
- 12 paid holidays, plus one floating holiday
- Up to 14 weeks of parental leave
- Monthly wellness subsidy
- Work from home reimbursement
- Flexible spending account
- 401(k) retirement savings plan
- Employee stock purchase plan
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
Principal Data Scientist
TendoWe’re building a healthier, more integrated world where seeking, delivering, and managing healthcare is seamless.
• Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. • Develop custom data models and algorithms to apply to data sets. • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. • Develop analytic data sets and use statistical software to analyze data sets as requested. • Use third party software tools in the development of queries and visualizations. • Coordinate with different functional teams to implement models and monitor outcomes.
Senior Data Scientist
TendoWe’re building a healthier, more integrated world where seeking, delivering, and managing healthcare is seamless.
• Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. • Develop custom data models and algorithms to apply to data sets. • Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. • Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. • Develop analytic data sets and use statistical software to analyze data sets as requested. • Use third party software tools in the development of queries and visualizations. • Coordinate with different functional teams to implement models and monitor outcomes.
Data Scientist Intern
BHG FinancialBHG Financial, also known as Bankers Healthcare Group, is a financial services company offering solutions to healthcare and other professionals in the U.S. Pros
• Create reports and/or analyses, present findings & recommendations at multiple levels of the department • Work through the entire lifecycle of data; query, clean, transform, and join disparate data • Develop or optimize processes with automation based on data-driven analyses • Recalibrate and/or assist in building new models to help enhance decision engines • Utilize data visualization skills using Tableau, Power BI, and/or other packages • Gain cross-functional skills and visibility in all areas of the business: from our virtual training sessions, hands-on experience, mentorship program, and access to diverse subject matter experts • Engage with other interns, leaders across BHG Financial, and the community through lunch and learns, virtual team-building events, and give back projects • Create and deliver an executive-level presentation of your analysis on the cornerstone project • Engage with other interns, leaders across BHG Financial, and the community through lunch and learns, virtual team building events, and give back projects.
• Deploy and manage AI evaluation processes across our infrastructure to ensure reliable performance monitoring and continuous improvement of AI models. • Process and perform comprehensive data analysis to identify trends, inconsistencies, and opportunities for model enhancement. • Build and maintain scalable data pipelines that ingest raw data, perform transformations, and feed downstream systems. • Collaborate with cross-functional teams, including security, engineering, and product personnel, to embed security and compliance considerations into the development lifecycle. • Automate repetitive workflows and implement solutions to improve operational efficiency



