Data Operations Analyst

Data Operations Analyst

About Us

Established in1982, ERA Realty has grown to become one of Singapore's largest real estate agencies with a network of more than 8,700 trusted advisers, providing brokerage services for primary and secondary home sales and rentals of residential, commercial and industrial properties. Through ERA Realty’s Capital Markets & Investment Sales business unit, we deliver corporate real estate services for sizeable assets to high-net-worth individuals, family offices, developers, institutional investors and real estate investment trusts.

As an industry pioneer, ERA Realty has led technological innovation for over 40 years, equipping our advisers with cutting-edge proptech solutions such as SALES+, AI-powered property reports, real-time newsfeeds and proprietary super apps to enhance productivity and elevate client service.

Job Summary

We are looking for a detail-oriented and analytical Data Operations Analyst to support data integration, mapping, validation, and process improvement.

This role involves working closely with internal teams, particularly Product and Marketing, to collect, map, reconcile, and maintain accurate and up-to-date data across internal systems and external data sources. Beyond data entry and maintenance, the successful candidate will be expected to understand data structures, identify discrepancies, recommend improvements, and streamline workflows through automation.

Key Responsibilities

1. Data Mapping & Integration

• Map and reconcile internal data with external data sources to ensure consistency and alignment.
• Collect, organize, and integrate data from various sources into internal systems and databases.
• Work with the Product and Marketing teams to obtain relevant data and establish reliable processes for incorporating external data into internal systems.

2. Data Quality & Validation

• Validate data for accuracy, completeness, consistency, and timeliness.
• Identify, investigate, and flag incorrect, missing, outdated, or inconsistent data.
• Work with relevant stakeholders to resolve data discrepancies and ensure data integrity across systems.
• Maintain data quality standards and documentation to support reliable data management
• Propose and implement process improvements, including automation, to reduce manual effort and improve operational efficiency.

3. Cross-Functional Collaboration

• Collaborate with Product, Marketing, and Engineers to understand data requirements and identify relevant data sources.
• Ensure data is collected and updated within required timelines, particularly for time-sensitive information.
• Communicate data issues, risks, and improvement opportunities to relevant teams.

Requirements

• Diploma or degree in Data Analytics, Information Systems, Business Analytics, Computer Science, or related fields.
• Minimum 2 years of experience in data analysis, data operations, data management, data entry, or a related role.
• Strong analytical and problem-solving skills, with the ability to understand data structures and identify inconsistencies.
• High attention to detail and a strong commitment to data accuracy and quality.
• Familiarity with data mapping, data integration, ETL processes, or data pipeline concepts is a plus.
• Ability to write SQL queries to retrieve, filter, join and validate data from databases
• Experience with workflow automation or scripting tools is an advantage.
• Strong communication and coordination skills, with the ability to work effectively across departments.
• Ability to manage multiple tasks, prioritize time-sensitive data updates, and meet deadlines.