Job Description

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Singapore
4 Experience
We're looking for a hands-on

Data Lead/ Analytics & BI Manager

to join our team and help drive business insights, manage our data infrastructure, and work closely with internal stakeholders and partners. This role

blends technical capability with stakeholder management

and will suit someone looking to step up into a lean team leadership role while remaining close to the data.


You'll manage a small team (including offshore support), deliver high-quality dashboards and reports, and help the business make smarter, data-informed decisions. You should also be comfortable working across BI platforms and evolving data environments.

Team Management & Collaboration


Provide day-to-day guidance to a small data team (analyst + offshore engineer)


Delegate tasks clearly, review output, and support team development


Ensure smooth communication across internal and external stakeholders


Step in on analytics work when needed - this is a hands-on role


Foster a collaborative and delivery-focused team culture


#

Business Intelligence & Reporting


Maintain and enhance dashboards, reports, and BI tools


Liaise with marketing, business development, and client servicing teams to understand reporting needs


Translate business requirements into scalable dashboards and meaningful insights


Troubleshoot issues, validate data outputs, and ensure reporting continuity


Support enhancements to BI systems, including redesign of dashboards and evolving KPI needs


Deliver clear insights to business users and external partners


Provide training on new dashboards and support user onboarding


Have experience in marketing analytics, CRM analytics and/or pricing analytics

Client & Stakeholder Engagement


Act as the primary point of contact for all client-related data and reporting matters


Manage and resolve client inquiries, data issues, and enhancement requests in a timely and professional manner


Build strong relationships with key clients and ensure expectations are met or exceeded


Coordinate cross-functional responses to client needs and proactively surface insights that add value

Data Engineering Support


Manage and maintain routine ETL tasks, data pipelines, and scheduled reloads


Coordinate with offshore engineer to ensure data quality and timely delivery


Participate in projects to improve data integrations. modelling, and structure


Ensure proper documentation and version control for data processes


#

Operational Excellence




Track and respond to internal support requests and enhancement tickets


Maintain updated user documentation, data dictionaries, and glossary of metrics


Handle routine and ad-hoc reporting needs


Ensure access controls are maintained and usage monitored appropriately


Manage and prioritize competing projects and deliverables while maintaining project timelines and budgets


#

Communication & Collaboration




Excellent leadership and communication skills, inspiring and motivating diverse teams across onshore and offshore locations


Effective collaboration with business stakeholders, IT department, and offshore partners


Professional demeanor and excellent communication skills for interacting with internal and external stakeholders


#

Additional Skills




Passion for learning new technical tools and business concepts


Ability to work independently and resourcefully solve day-to-day issues


Strong background in Excel and PowerPoint


Maintain discretion with sensitive and confidential information

Job Specifications:

Bachelor's degree or graduate degree in Data, Computer Science, or a related field with 4-6 years of experience in data analytics, BI, or a related field


Strong SQL/ Python skills and experience with BI tools (e.g. Apache Superset, Google Looker, Microsoft Fabric/Power BI, Tableau, etc.) as well as web analytics - Google Analytics 4


Comfortable working with evolving dashboards, KPIs, and business needs


Hands-on experience with data transformation and working across data pipelines


Exposure to stakeholder management, requirements gathering, and cross-functional collaboration


A self-starter who is comfortable with ambiguity and evolving priorities


Bonus: Experience working in environments where data tools or platforms were being upgraded or restructured