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Data Analyst

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Onsite

Data Analyst

Cognizant

Data Analyst

Skills

SQL QueriesPythonData VisualizationTesting & QAKnowledge ManagementDatabricksData AnalysisJiraPower BI

8 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

12 October 2026

What they need


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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