We are looking for a detail-oriented Business Analyst to manage tenant engagement, onboarding, and feedback for our organization’s products and servic.....
We are looking for a detail-oriented Business Analyst to manage tenant engagement, onboarding, and feedback for our organization’s products and services. You will ensure smooth onboarding, monitor the tenant journey, and maintain high levels of user satisfaction.
Key Responsibilities
Tenant Enquiry & Requirement Handling – Manage and respond to tenant enquiries, clarify requirements, and provide accurate product and service information.
Briefing & Onboarding – Conduct onboarding briefings for tenants to ensure they understand processes, systems, and services.
Onboarding Monitoring & Handling – Track onboarding progress, resolve issues, and ensure successful integration of tenants into our ecosystem.
Tenant Journey Monitoring – Monitor and assess tenants’ experience to identify areas for improvement.
User Satisfaction Survey Management – Plan, execute, and analyse user satisfaction surveys to gather actionable insights.
Tenant Feedback Monitoring & Handling – Collect, review, and address tenant feedback promptly, escalate issues as needed, and implement improvements.
Design reengineered processes that improve productivity, quality, and customer experience.
Define and track performance metrics to measure the impact of process changes.
Facilitate workshops, training sessions, and change‑management activities to support adoption.
Qualifications
Must be Singaporean
Must be eligible for Singapore MSD CAT 1 security clearance
Bachelor’s degree in information technology or related discipline
2+ years of experience as a Business Analyst, preferably in IT or cloud-related projects
Proficiency in business process modelling and analysis techniques
We are looking for a skilled Data Engineer.Roles & ResponsibilitiesDesign, develop and deploy data tables, views and marts in data warehouses, operati.....
We are looking for a skilled Data Engineer.
Roles & Responsibilities
Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction.
Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
Integrate and collate data silos in a manner which is both scalable and compliant.
Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products.
Be responsible for developing backend APIs & working on databases to support the applications.
Work in an Agile Environment that practices Continuous Integration and Delivery.
Work closely with fellow developers through pair programming and code review process.
Requirements
Proficient in general data cleaning and transformation (e.g. SQL, pandas, R, etc) to ensure data accuracy and consistency.
Proficient in building ETL pipeline (eg. SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
Proficient in database design and various databases (e.g. SQL, PostgreSQL, AWS S3, Athena, mongodb, postgres/gis, mysql, sqlite, voltdb, cassandra, etc).
Experience in cloud technologies such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
Experience and passion for data engineering in a big data environment using Cloud platforms such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
Experience with building production-grade data pipelines, ETL/ELT data integration.
Knowledge about system design, data structure and algorithms.
Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, Data Virtualisation and Data Warehouse for efficient storage and retrieval.
Familiar with rest api and web requests/protocols in general.
Familiar with big data frameworks and tools (eg. Hadoop, Spark, Kafka,RabbitMQ).
Familiar with W3C Document Object Model and customized web scraping (e.g. BeautifulSoup, CasperJS, PhantomJS, Selenium, Nodejs, etc).
Familiar with data governance policies, access control and security best practices.
Comfortable in at least one scripting language (eg. SQL,Python).
Comfortable in both windows and linux development environments.
Interest in being the bridge between engineering and analytics.
