Total 5 job vacancies by Real Estate Analytics Pte. Ltd.

We are seeking a dynamic and experienced Marketing Executive to join our team to drive brand awareness, manage online campaigns, optimize our digital presence and work closely with the sales and product teams to align marketing efforts with business objectives

Key Responsibilities:

• Collaborate with the Senior Marketing Executive to design and implement digital marketing strategies aligned with REA’s business goal.
• Optimize the company website for search engines to improve visibility and organic traffic.
• Ideate and craft engaging content (blog posts, articles, videos) and design visuals that align with our brand voice and target audience.
•  Brainstorm and conceptualize plans to drive brand awareness, customer engagement, and sales growth.
• Work closely with cross-functional teams (Product, Sales, Data) to ensure alignment on campaign objectives and branding.
• Assist in event planning and execution, including webinars, industry events, and product launches.
• Conduct market research to identify emerging trends and opportunities within the real estate industry to craft engaging content.
• Support other teams with marketing collateral, presentations, and lead generation activities.
• Manage and grow the company’s presence on LinkedIn, Instagram, TikTok, and other relevant platforms.
• Submit weekly report of product & marketing performance
• Other administrative tasks as required.

Requirements:

• Diploma / Bachelor’s degree in Marketing, Communications, Business, or a related field.
• 3-5 years of experience in digital marketing, preferably within the real estate or tech industry.
• Strong understanding of digital marketing channels (SEO, SEM, social media, email marketing, content marketing).
• Proficiency with Canva is a must. Experience with other software such as Adobe Premiere Pro, Illustrator, Figma, etc., is a plus.
• Knowledge of Google Analytics, Google Ads, Google Search Console, Meta Business Suites, email marketing platforms, and HTML will be a plus.
• Comfortable being on camera for live streams and video content, including conducting TikTok Live sessions, will be advantageous.
• Strong written and verbal communication skills with a creative flair for content creation.

About the Role:

We are seeking a Data Analyst (Product Support) with strong SQL expertise to join our team in the real estate technology industry. SQL will be your primary tool, and you will use it daily to extract, validate and analyse large datasets that drive our product. Beyond analytics, you will play a vital role in troubleshooting and investigating product issues, ensuring the accuracy and reliability of our data and reporting systems. You will work closely with product managers and engineers to identify, check and report bugs. This includes providing insights that directly enhance the platform’s performance and value.

Key Responsibilities:

• Write, optimize and maintain complex SQL queries for extracting, analysing and validating large datasets.
• Use SQL-driven analysis to support product teams in identifying, investigating and reporting data-related issues and bugs.
• Perform data validation and quality checks through SQL to ensure product outputs are accurate and reliable.
• Collaborate with product managers and engineers to reproduce issues, fix and verify bug fixes using SQL checks.
• Build and maintain reporting dashboards and ad-hoc analyses, powered by SQL-based data extraction.
• Document SQL query logic, data processes and bug reports for cross-functional clarity.
• Provide timely SQL-based data support and troubleshooting to internal stakeholders (e.g. product, customer success and data engineering).

Qualifications & Requirements

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Business or related field.
• Minimum 2 years of experience as a Data Analyst, preferably in the real estate or proptech industry.
• Strong proficiency and hands-on experience in SQL (PostgreSQL, Redshift, MySQL or similar).
• Experience working with large datasets and relational databases.
• Familiarity with bug tracking tools (e.g. Jira) and reporting workflows.
• Strong problem-solving and troubleshooting skills with keen attention to detail.
• Ability to communicate clearly and effectively with both technical and non-technical stakeholders.
• Experience with BI tools (e.g. Tableau, Power BI, Metabase) is a plus.
• Knowledge of the real estate domain and data standards is a strong advantage.

Real Estate Analytics Pte Ltd is seeking a dynamic and motivated Business Analyst Intern to join our team. The successful candidate will have the opportunity to work closely with experienced professionals in the real estate and analytics domains, contributing to meaningful projects and gaining hands-on experience in a dynamic and collaborative work environment. 

Key Responsibilities: 

• Conduct thorough analysis of real estate data sets to extract meaningful insights and trends. 

• Assist in researching and gathering market intelligence to support strategic decision-making 

•  Develop and generate regular reports for internal stakeholders, presenting findings in a clear and concise manner. 

• Identify opportunities for process optimization and efficiency gains within the analytics workflow. 

• Work collaboratively with cross-functional teams to understand business requirements and contribute to the development of innovative solutions. 

• Maintain detailed documentation of analytical processes, methodologies, and results. 

• Stay abreast of industry trends, emerging technologies, and best practices in business analysis and real estate analytics. 
  

Qualifications: 

• Currently pursuing a degree in Business, Finance, Economics, Statistics, or a related field. 

• Having financial knowledge in REITS is a plus  

• Strong analytical and problem-solving skills with keen attention to detail. 

• Proficiency in data analysis tools such as Microsoft Excel, SQL, and statistical software. 

• Excellent verbal and written communication skills. 

• Eagerness to learn and adapt to new challenges. 

• Ability to work independently and collaboratively within a team. 

• Prior internship or coursework related to business analysis or real estate is a plus. 

The Role: A Glimpse into the Future of Data Engineering

We are seeking a motivated and creative AI in Data Engineering Intern to join our dynamic data team. This is a unique opportunity to work at the intersection of Artificial Intelligence, data engineering, and cloud computing.

You won't be just running queries; you'll be building the future. Your core mission will be to research, design, and develop AI-powered tools that monitor, analyze, and optimize our data pipelines. Your work will directly enhance the efficiency, reliability, and cost-effectiveness of our entire data ecosystem, providing you with a high-impact project for your portfolio.

Key Responsibilities:

• Analyze & Identify: Use your SQL skills to query pipeline metadata, logs, and performance metrics to identify bottlenecks, inefficiencies, and patterns of failure.
• Research & Design: Investigate and prototype AI/ML solutions to address key pipeline challenges. This could include:
  • Predictive models for pipeline runtimes or resource consumption.
  • Anomaly detection systems to flag data quality issues or pipeline delays in real-time.
  • Generative AI tools to automate boilerplate code generation or create documentation.
• Build & Develop: Write clean, efficient, and well-documented Python code to build these tools. You’ll work with libraries like Pandas, Scikit-learn, TensorFlow/PyTorch, and frameworks like Flask or FastAPI to create services.
• Deploy & Automate: Containerize your applications (e.g., using Docker) and deploy them to our cloud environment (e.g., AWS Lambda, Google Cloud Functions, Azure Functions). You'll gain hands-on experience in bringing a tool from concept to production.
• Collaborate & Present: Work closely with our senior data engineers, data scientists, and platform architects. You will be expected to present your findings, progress, and final project to the team and key stakeholders.

Requirements:

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Software Engineering, Statistics, or a related technical field.
• Strong proficiency in Python and experience with its data-centric libraries (e.g., Pandas, NumPy, Scikit-learn).
• Solid understanding of SQL and experience querying relational databases (e.g., PostgreSQL, MySQL, Snowflake, BigQuery).
• A foundational understanding of machine learning concepts (e.g., regression, classification, clustering).
• Familiarity with cloud computing concepts (AWS, GCP, or Azure).
• An insatiable curiosity, a desire to learn, and a proactive, problem-solving mindset.

Bonus Points (Preferred Qualifications):

• Prior experience with data orchestration tools like Airflow, Dagster, or Prefect.
• Hands-on experience with Docker for containerization.
• Experience building and deploying simple APIs using Flask or FastAPI.
• Familiarity with Infrastructure as Code (e.g., Terraform, AWS CloudFormation).
• Interest or experience with Large Language Models (LLMs) and their application via APIs (e.g., OpenAI, Anthropic).

What We Offer (The Intern Experience):

• Real-World Impact: Work on a meaningful project that will be integrated into our production systems and deliver tangible value.
• Dedicated Mentorship: Receive guidance and support from an experienced senior engineer who will help you navigate your project and career goals.
• Hands-On Learning: Gain practical experience across the full development lifecycle—from ideation and research to deployment and monitoring in a professional cloud environment.
• Networking: Connect with professionals across our engineering, product, and business teams.
• A Great Portfolio Piece: Leave with a completed, high-impact project that you can showcase to future employers.

We are looking for an intern to assist in collecting, cleaning, and analyzing datasets to generate business insights. Support dashboard creation, data visualization, and basic statistical analysis while helping the team prepare reports and improve data-driven decision making. 

Key Responsibilities 

• Involve in the process to build, validate, test, and deploy machine learning models or algorithms to solve real estate related problems 

• Have chances to optimise or design and build new framework and automation tools to enable teams to consume and understand data faster 

• Support various stakeholders by proposing and implementing data science models to extract insights 

• Perform data cleaning, exploratory analysis, and quality checks to ensure reliable model inputs  

• Analyze large datasets to identify trends, anomalies, and market patterns in property transactions and listings 

Qualifications & Requirements 

• Pursuing or recently completed a Bachelor’s or Master’s degree in Computing, Data Science, Statistics, Engineering, or a related field  

• Strong Python programming skills, including experience with pandas, NumPy, and scikit-learn  

• Familiarity with SQL and working with relational databases  

• Basic understanding of statistics and machine learning concepts  

• Knowledge in computer vision and NLP, LLM is a plus 

• Knowledge in Big Data (Spark, Hadoop/Hive) and real-time analytics is a plus 

What You Will Gain 

• Hands-on experience working with real-world real estate datasets  

• Exposure to machine learning models used in production systems  

• Experience with large-scale data pipelines and analytics workflows  

• Opportunity to contribute to real products used by the real estate industry