Data Analyst

JobTech; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

JobTech is seeking a Data Analyst to convert labor market intelligence and client data into actionable insights. This cross-functional role involves analytics, data quality, and collaboration with teams to ensure trustworthy data and impactful research outputs.

Qualifications

• 2-3 years of hands-on experience in data analytics.
• Familiarity with client data and business reporting preferred.
• Proficient in translating technical results into business insights.

Responsibilities

• Analyze internal labor market data and external client datasets.
• Collaborate with data scientists for model improvements.
• Generate insights for sales, marketing, and customer success.

Skills

Python

SQL

Data Visualization

NLP Techniques

Tools

Plotly

Dash

Streamlit

Job description

Role Summary

As a Data Analyst at JobTech, you’ll play a key role in turning both our labour market intelligence and client data into actionable insights. You’ll support the Data Manager in creating dashboards, analysing campaign performance, and generating insights that inform product development, demonstrate value to clients, and drive strategic outcomes across the ecosystem.

This is a cross-functional role with a blend of analytics, research support, and data quality ownership. You’ll work closely with internal teams and clients to ensure our data remains trustworthy, timely, and impactful.

Key Responsibilities

Data, Product & Research (60%)

Analytics & Insight Generation

• Analyse internal labour market data and external client datasets to deliver clear reports, dashboards, and actionable insights.
• Support sales, marketing, and customer success teams with statistical summaries, campaign analysis, and data visualisation.
• Translate data into strategic insights that inform product, partner, and business decisions.
  
  

Data Quality & Infrastructure

• Diagnose and resolve data quality issues independently, working across structured and unstructured sources
• Propose and implement long-term solutions to improve data accuracy, consistency, and integrity
• Maintain and evolve data validation frameworks, including client-specific data checks
  
  

Research & Collaboration

• Collaborate with data scientists to support NLP model improvements, taxonomy curation, and feature engineering
• Contribute to experimentation and evaluation of new data pipelines, insight models, or partner deliverables
• Address client queries on data outputs, validations, and JobTech’s analytics capabilities
  
  

Customer (40%)

Insights, Reporting & Customer Enablement

• Work closely with Sales, Marketing, and Customer Success teams to generate insight decks, campaign data summaries, and customer-facing reports.
• Translate unstructured textual data into structured insights (e.g., job descriptions, CVs, skills frameworks) and manage JobTech’s public analytics dashboards.
• Run A/B tests on platform usage or behavioural data to inform product or UX decisions.
• Address internal and client queries related to JobTech’s data, analytics, and model outputs.
  
  

Requirements

Experience

• 2 to 3 years of relevant hands-on experience in data analytics, operations, or insight generation.
• Experience working with client data, business reporting, or campaign metrics preferred.
• Comfortable working across internal teams and external client-facing projects.
  
  

Skills

• Proficient in Python for data analysis and scripting.
• Strong working knowledge of SQL for querying structured databases.
• Familiarity with interactive dashboard frameworks (e.g. Plotly, Dash, Streamlit) is a plus.
• Experience working with text mining or NLP techniques is an added advantage.
  
  

Soft Skills

• Self-starter who thrives in fast-paced, data-rich environments.
• Detail-oriented and methodical with strong analytical and documentation skills.
• Effective communicator who can translate technical results into business insights.
• Eager to learn, experiment, and contribute to team-wide data and insight culture.
  
  

Information Security & Compliance Responsibilities

• Policy Adherence: Follow JobTech’s information security policies, procedures, and best practices consistently.
• Risk Management: Identify, assess, and mitigate security risks to safeguard sensitive and confidential information.
• Incident Response: Support the detection, reporting, analysis, and response to security incidents or breaches.
• Security Awareness: Participate in regular information security training and uphold best practices across all activities.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data and information assets.
• Regulatory and Legal Compliance: Adhere to all relevant legal, regulatory, and contractual obligations related to information security.
• Team Collaboration: Work closely with internal cross-functional teams to ensure integrated and consistent security measures.
• Confidentiality and Data Handling: Protect sensitive information and maintain strict confidentiality in line with JobTech’s data protection standards.
• Continuous Improvement: Stay current with evolving security threats and technologies, and contribute to strengthening JobTech’s overall security posture.