Senior Data Analyst

ThoughtFull™ World; Kuala Lumpur; On-site; MYR 70,000 - 120,000; Full time

Job summary

A leading mental health company is seeking a Senior Data Analyst to enhance its data infrastructure and analytics capabilities. You will design scalable data systems, integrate diverse data sources, and collaborate with clinical and product teams for actionable insights. The ideal candidate has extensive experience in analytics and data engineering, proficient in tools like SQL and Python, and is passionate about improving mental healthcare delivery.

Qualifications

• 5+ years of experience in analytics, data engineering, or BI roles.
• Hands-on experience with BI tools.
• Familiarity with modern data pipeline tooling and cloud platforms.

Responsibilities

• Design and implement scalable data infrastructure.
• Work closely with product, business, and clinical teams to build reports.
• Leverage AI/ML for predictive & diagnostic use cases.

Skills

SQL

Python

R

Analytics

Data Engineering

Tools

Power BI

Tableau

Superset

Job description

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.

• Unify Disparate Data Sources
  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.

• Ensure Data Quality and Governance
  Define and enforce data validation, schema evolution, security access controls, and documentation standards to ensure trustworthy and compliant data flows across the organization.
• Automate Data Workflows and Monitoring
  Create scheduled jobs, alerts, and self-healing data flows to reduce manual intervention and maintain uptime and accuracy of reports and pipelines.

• Analytics, Reporting & Insights

• Deliver Multi-Angle Data Insights
  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.

• Advance Self-Service Reporting
  Enable teams across departments to access and interact with curated data sets and reusable metrics through intuitive tools and interfaces.

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

• Data Mining, AI & Automation

• Leverage AI/ML for Predictive & Diagnostic Use Cases
  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.

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

• Perform Exploratory Data Mining
  Uncover latent trends and patterns in product and user datasets that inform new features, risk flags, and program effectiveness.

• Collaboration & Cross-Functional Execution

• Work Closely with Product, Engineering and Clinical Teams
  Collaborate on product instrumentation, analytics event design, and backend data models to ensure clean and purposeful data capture at the source.

• Support Leadership with Strategic Data
  Partner with senior stakeholders to provide executive-level reporting, health metrics, and recommendations grounded in data.

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

• Performance & Impact Measurement

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

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

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

Skills and Qualifications:

• 5+ years of experience in analytics, data engineering, or BI roles

• Proficient in SQL and Python or R

• Hands-on experience with BI tools such as Superset, Power BI, or Tableau

• Familiarity with modern data pipeline tooling, cloud platforms, and APIs

• Bonus: experience with predictive models, healthcare data, or privacy-compliant architectures

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.