Senior Manager, Data Analytics

This role is a key position within the Finance and Revenue Analytics team at Realtor.com. The job overview states that the role involves leading a team of data analysts who are responsible for providing data, reports, and analyses to support a suite of customer products. The role requires partnering with executive stakeholders to develop and execute a roadmap of analytics initiatives that will drive business value. Additionally, the job overview mentions the need for thought leadership on analytic techniques, statistical learning techniques, and data visualization techniques to enhance the service offerings of the team.

Lead and grow a team of data analysts; direct day-to-day activities; manage performance, and be responsible for career development.

Partner with executive stakeholders to develop and execute a roadmap of analytics initiatives that will drive the most business value for the suite of customer products for which the team is responsible.

Provide thought leadership on analytic techniques, statistical learning techniques, and data visualization techniques to enhance the service offerings of the team.

Closely collaborate with Data Science teams to align on experimentation plans, analytic prototypes, and other joint initiatives.

Bachelor’s Degree in a business-related or quantitative field

10+ years of professional experience in analytics preferred, 3+ years experience managing people.

Experience leading teams that have delivered analytic service offerings which repeatedly drive key business decisions.

SQL fluency with preferred experience using a scripting language like Python or R.

Experience with senior executive stakeholder management and communicating analytic findings to senior stakeholders

Preferred experience in leading reporting/data visualization capabilities. Understanding of infrastructure, monitoring, and alerting necessary to support highly visible and business-critical reporting. Tableau experience preferred.

Preferred experience with B2B ecosystems, including pricing, CLV, and yield optimization

• Flexible work schedule with the option to work from home two days a week
• Competitive compensation offers tailored to candidate's experience, skills, and location
• Pay-for-performance strategy with annual bonus target
• Comprehensive and highly competitive benefits package
• Variety of physical health, retirement and savings, caregiving, emotional wellbeing, and other benefits
• Inclusive and welcoming culture
• Intellectual challenges and development opportunities
• Equal Opportunity Employer with reasonable accommodations for disabled individuals