What are the responsibilities and job description for the Staff Data Analyst, Product Analytics position at Rentspree Co.?
RentSpree, the USA's leading home rental software, is among the fastest-growing property tech startups. Our award-winning software connects renters and landlords, revolutionizing the residential rental industry. With six years of annual growth, we've forged partnerships with 300 top real estate companies, delivering high-quality data-driven insights and products.
Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.
RentSpree is a place where you will grow alongside the company while collaborating within your team to have a meaningful impact on RentSpree’s future.
Position Overview
Join the Data Analytics team at RentSpree as a Staff Data Analyst focused on Product Analytics! You will play a crucial part in collaborating with our product teams, offering advanced analytics and innovative data solutions to address our users' pain points. This position offers a unique opportunity to work collaboratively with cross-functional teams located in Thailand and the US, driving innovation in the real estate market.
If you're ready to tackle exciting projects that harness the power of our massive data stores, and you're passionate about building solid data products, then we want to talk to you! Take the lead and bring your self-directed skills to RentSpree.
Key Responsibilities
- Partner closely with the product team to develop and implement tools and processes to analyze product funnels, optimize user experience and craft data-driven product strategic decisions.
- Evaluate product efficiency by monitoring key metrics for continuous optimization.
- Design and conduct A / B tests and experiments to assess the impact of products changes on user behavior and product performance.
- Collaborate with other departments and teams to ensure that data analysis is integrated into all aspects of the company's operations.
- Create innovative data solutions using AI to address product challenges, automate and streamline processes, predict user behavior, and enhance overall product performance.
- Stay informed about industry best practices and trends related to data science, and apply this knowledge to enhance company-wide practices.
- Mentor and coach team members to build their data skills and knowledge.
- Provide trainings on advanced analytics methods and machine learning, fostering a collaborative environment focused on leveraging data for product innovation.
Requirements
Location
J-18808-Ljbffr
Salary : $160,000 - $180,000
