Staff Data Analyst

RentSpree (Bangkok, Bangkok City, Thailand)

Bangkok, Thailand

Launched in 2016, RentSpree embarked on a mission to revolutionize the residential rental application process. Today, we've successfully transitioned an industry from cumbersome paper applications to a streamlined digital experience. With over 1 million renters placed in homes using our simpler and transparent platform, we've made significant strides but realize our journey is far from over. Our vision expands beyond simplifying the rental process. We strive to create lasting, meaningful connections among renters, agents, and landlords, building a community founded on trust, efficiency, and satisfaction. As we look ahead, we are excited and committed to leading the charge in elevating the residential rental industry experience. Join us on this exciting journey as we continue to reinvent the rental experience, creating a feeling of 'home' in every transaction.

Detail posisi

Join the Data Analytics team at RentSpree as a Staff Data Analyst! You will play a crucial part in collaborating with our Product team, offering advanced analytics and innovative data solutions to address our users' pain points.

Kewajiban

• 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.

Kualifikasi

• Bachelor's or Master's degree in a relevant field such as Analytics, Data Science, Statistics, Computer Science, etc.
• Minimum of 6 years of experience in data science or analytics role, preferably in a similar industry.
• Strong understanding of data analysis methodologies, statistical analysis, data visualization, and data modeling.
• Strong understanding of the company's business objectives and how data can support those objectives.
• Proficiency in tools such as SQL, Python, R, Excel, Tableau, and other business intelligence tools.
• Experience with BI tools, such as Holistics, Looker, PowerBI, Data Studio, or Tableau or similar.
• Have a growth mindset, be open to new experiences, and be at ease with sharing your expertise with others.
• Experience in fostering a data-driven culture within an organization is highly valued.