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.
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