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Data Analyst

Singapore, Singapore

Pay
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Work setup
Unconfirmed
Employment
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Apply at Cognizant

What you’ll work on

Full posting
  • Develop a deep understanding of business processes, operational challenges, and policy objectives.

  • Build, enhance, and maintain dashboards for performance reporting, operational monitoring, and user behaviour analytics.

  • Collaborate with data engineers to improve data accessibility and usability for reporting purposes.

From the employer’s posting
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.
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.
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

What you’ll bring

All qualifications

Core experience

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

Preferred experience

  • Understanding of business intelligence and KPI frameworks.
  • Excellent communication and stakeholder management skills.
  • Familiarity with Jira, QA testing, and agile delivery practices.
  • Ability to translate technical findings into meaningful business insights.
Qualification wording
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.
Understanding of business intelligence and KPI frameworks.
Excellent communication and stakeholder management skills.
Familiarity with Jira, QA testing, and agile delivery practices.
Ability to translate technical findings into meaningful business insights.

Tools in this posting

  • Python
  • SQL
  • Databricks
  • Power BI
Source — Tool mentions in context
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.
Technical Skills - Proficiency in SQL and Python for data analysis. - Hands-on experience with dashboard and visualisation tools (e.g. Databricks, Power BI).
- 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.
- 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.

About Cognizant

We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world.

In the employer’s words · Read in context

Job description

View original posting ↗

Job 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.

About Cognizant:

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

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Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on careers.cognizant.com. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Singapore, Singapore

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Status in our records
Active
First seen by us
Oct 12, 2026
Recorded sightings
5
Last seen by us
Oct 13, 2026

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