Data Analyst

COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Cognizant Technology Solutions Asia Pacific PTE. LTD. is seeking a Data Analyst to transform data into actionable insights for business decisions, with strong stakeholder engagement and data storytelling.

You will prepare data using SQL and Python, build dashboards in Databricks and Power BI, and document methodologies to support agile delivery and clear reporting for diverse audiences.

This role emphasizes business context, KPI tracking, and high-quality outputs.

Qualifications

• Proficiency in SQL and Python for data analysis.
• Ability to create visualisations and data stories.
• Experience building dashboards for business users.
• Strong documentation and report-writing capabilities.

Responsibilities

• Develop a deep understanding of business processes and policy objectives.
• Partner with stakeholders to translate needs into analytical requirements.
• Analyse datasets to identify trends, opportunities, risks, and KPIs.
• Provide recommendations to support data-driven decisions.
• Build, enhance and maintain dashboards for performance reporting.
• Design intuitive visualisations and communicate findings to users.
• Define and track business metrics and data storytelling.
• Query, clean, and analyse data using SQL, Python, and Databricks.
• Collaborate with data engineers to improve data accessibility for reporting.
• Develop user guides and documentation for dashboards and analytics.
• Support agile delivery with requirements, user stories, and acceptance tests.
• Explore automation opportunities to improve reporting workflows.

Skills

SQL

Python

Data storytelling

Dashboard design

Stakeholder management

Agile

Documentation

Tools

Databricks

Power BI

Job description

Role Summary

The Data Analyst is responsible for transforming data into actionable insights that support business decision-making. The role requires strong business context understanding, stakeholder engagement, analytical thinking, and data visualisation expertise to communicate insights effectively.

Key Responsibilities

Business Analysis & Insights

• Develop a deep understanding of business processes, operational challenges, and policy objectives.
• Partner with stakeholders to understand business needs and translate them into analytical requirements.
• Analyse datasets to identify trends, opportunities, risks, and performance indicators.
• Provide recommendations and insights that support data-driven decision-making.

Analytics & Data Visualisation

• Build, enhance, and maintain dashboards for performance reporting, operational monitoring, and user behaviour analytics.
• Design intuitive and impactful visualisations that effectively communicate complex findings to business users.
• Apply data storytelling techniques to present insights to both technical and non-technical audiences.
• Define and track business metrics

Data Preparation & Analysis

• Query, clean, and analyse data using SQL, Python, and Databricks.
• Validate and interpret data to ensure analytical outputs are accurate and meaningful.
• Collaborate with data engineers to improve data accessibility and usability for reporting purposes.

Documentation & Knowledge Management

• Develop user guides and business documentation for dashboards, reports, and analytical products.
• Maintain documentation on reporting methodologies, metric definitions, and analytical standards.

• Support agile delivery activities such as requirements gathering, user story creation, and acceptance testing.
• Explore automation opportunities to improve reporting and analytics workflows.

Competencies & Requirements

Technical Skills

• Proficiency in SQL and Python for data analysis.
• Hands-on experience with dashboard and visualisation tools (e.g. Databricks, Power BI).
• Experience using Databricks or similar analytics platforms.
• Ability to create compelling visualisations and data stories for diverse audiences.
• Strong documentation and report-writing capabilities.

Preferred Skills

• Understanding of business intelligence and KPI frameworks.
• Familiarity with Jira, QA testing, and agile delivery practices.

Soft Skills

• Strong business acumen and ability to understand operational and policy contexts.
• Excellent communication and stakeholder management skills.
• Ability to translate technical findings into meaningful business insights.
• Strong analytical mindset, curiosity, and problem-solving abilities.)
• Attention to detail and commitment to delivering high-quality outputs.