Data Analyst

Borr Drilling; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading company in the PropTech industry in Southeast Asia is seeking a Data Analyst to join their dynamic team. The role involves data collection and validation, insight generation, and developing analytical tools to support strategic decision-making. Candidates should possess a Bachelor's degree in a relevant field and have 2–4 years of experience in data analysis, with proficiency in SQL and data visualization tools. Join a purpose-driven team that aims to disrupt the real estate industry while offering opportunities for career growth.

Benefits

Dynamic and supportive team

Career growth opportunities

Qualifications

• 2–4 years of experience in data analysis, preferably in tech or real estate.
• Proficient in SQL, Excel, and data visualization tools.
• Strong analytical thinking and attention to detail.

Responsibilities

• Gather, clean, and validate datasets from internal and external sources.
• Analyze large volumes of data to uncover trends and patterns.
• Design and maintain dashboards and reports for business metrics.

Skills

Data Analysis

SQL

Excel

Data Visualization

Machine Learning

Problem Solving

Communication

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics

Tools

Tableau

Power BI

Looker

Git

Python

R

Job description

Job Title: Data Analyst

Location: Singapore

Department: Tech

Company: Ohmyhome Pte Ltd

About Ohmyhome

Ohmyhome is a fast-growing PropTech company operating in Singapore, Malaysia, and the Philippines. We revolutionize the property industry through technology, offering seamless end-to-end property solutions. As part of our commitment to data-driven decision-making, we are looking for a highly motivated Data Analyst to join our team.

Key Responsibilities

• Data Collection & Validation:
• Gather, clean, and validate datasets from internal databases and external APIs to ensure accuracy, relevance, and completeness for analytical purposes.
• Insight Generation:
• Analyze large volumes of structured and unstructured data to uncover trends, patterns, and opportunities that support strategic decision-making and drive revenue growth or cost-saving initiatives.
• Tool & Dashboard Development:
• Design, build, and maintain dashboards, reports, and analytical tools that provide visibility into business performance metrics—especially in areas such as customer acquisition, operational efficiency, sales performance, and marketing ROI.
• Business Impact Analysis:
• Deliver actionable insights that highlight areas for operational streamlining, revenue enhancement, and cost efficiency across multiple business units including sales, product, operations, and marketing.
• User Segmentation & Targeting
• Develop granular targeting logic for marketing and sales campaigns by segmenting users based on intent signals and behavioral data.
• Stakeholder Collaboration:
• Partner with cross-functional teams to understand their analytics needs, translating business questions into data-driven solutions and strategic recommendations.
• Reporting & Visualization:
• Communicate insights clearly through data visualization and written reports, tailored to both technical and non-technical audiences to support informed business decisions.
• Performance Accountability:
• Meet assigned KPIs and targets aligned with business goals and performance indicators.
• Ad Hoc Projects:
• Support other data-related initiatives and assignments as directed by the Manager or Management.
  
  

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• 2–4 years of experience in data analysis, preferably within a tech or real estate-related industry; basic knowledge in Machine Learning/Data Science is a plus.
• Proficient in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, Looker).
• Experience with version control systems (e.g. Git); knowledge of data warehousing concepts and ETL/ELT processes is a plus.
• Experience with statistical tools or languages (e.g., Python, R) is a plus.
• Strong analytical thinking and problem-solving skills with attention to detail.
• Excellent communication skills, both written and verbal.
• Self-starter with the ability to manage multiple priorities in a fast-paced environment.
  
  

Why Join Us?

• Be part of a purpose-driven company disrupting the real estate industry.
• Work with a dynamic and supportive team across Southeast Asia.
• Grow your career in a fast-scaling, tech-driven environment.