Senior Data Analyst

About ThoughtFull

ThoughtFull is on a mission to simplify mental health for your personal and professional growth - through every season of life, anytime, anywhere.

ThoughtFull is a Temasek-backed mental health company that provides full mental healthcare services for corporates clients around the Asian region and beyond. We were the first in Asia to offer clinically validated text-based coaching and the first to partner with insurers, making care more accessible to individuals and businesses. Join us on our mission and be part of our rockstar team!

The Role :

ThoughtFull is hiring a Senior Data Analyst to unlock data-driven insights and shape the future of mental healthcare through scalable analytics, infrastructure, and automation.

What you will do :

• Data Architecture & Engineering
• Design and Implement Scalable Data Infrastructure

Build and maintain scalable data pipelines, data warehouses, and ETL processes to ensure reliable and high-quality data availability across internal systems and analytics platforms.

Integrate structured and unstructured data from multiple platforms (e.g., product databases, analytics tools, CRM, and third-party APIs) into a unified, accessible source of truth.

Define and enforce data validation, schema evolution, security access controls, and documentation standards to ensure trustworthy and compliant data flows across the organization.

Create scheduled jobs, alerts, and self-healing data flows to reduce manual intervention and maintain uptime and accuracy of reports and pipelines.

Work closely with product, business, and clinical teams to build dynamic dashboards and custom reports that extract actionable insights from user behaviour, operational performance, and clinical data.

Enable teams across departments to access and interact with curated data sets and reusable metrics through intuitive tools and interfaces.

Translate business questions into data models, metrics, and queries that align with product goals, mental health outcomes, and strategic initiatives.

Collaborate with engineering and product teams to apply machine learning or AI models for classification, forecasting, and personalization use cases that align with ThoughtFull’s roadmap.

Implement automated decision systems that reduce operational overhead (e.g., clinical routing, engagement nudges, user segmentation, etc.) through rule-based or AI-assisted logic.

Uncover latent trends and patterns in product and user datasets that inform new features, risk flags, and program effectiveness.

Collaborate on product instrumentation, analytics event design, and backend data models to ensure clean and purposeful data capture at the source.

Partner with senior stakeholders to provide executive-level reporting, health metrics, and recommendations grounded in data.

Promote best practices, education, and knowledge-sharing around data tools and usage to help scale a data-informed culture across ThoughtFull.

Track performance, cost efficiency, and reliability of data systems (e.g., pipeline runtimes, freshness, failure rates) to drive continuous improvements.

Design systems to scale with growth while adhering to security and privacy standards (e.g., ISO 27001, HIPAA, etc.).

Continuously evaluate and implement new tools, frameworks, and methodologies to keep ThoughtFull’s data platform modern, flexible, and high-impact.

Skills and Qualifications :

Thoughtfull is an equal opportunity employer. We provide equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need, please inform us for accommodation.

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