Data Analyst

Cognizant; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Cognizant is seeking a Data Analyst to turn data into actionable insights, partnering with stakeholders and building dashboards for performance reporting and user behaviour analytics.

You will query, clean, and analyze data with SQL and Python, collaborate with data engineers, and contribute to documentation, agile ceremonies, and data storytelling for diverse audiences.

Qualifications

• Proficiency in SQL and Python for data analysis.
• Experience with Databricks and BI visualization tools.
• Ability to translate business needs into analytics requirements.

Responsibilities

• 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.
• Analyze datasets to identify trends, opportunities, risks, and performance indicators.
• Provide recommendations and insights that support data-driven decision-making.
• Build, enhance, and maintain dashboards for performance reporting, operational monitoring, and user behaviour analytics.
• Design intuitive and impactful visualizations 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

Skills

SQL

Python

Databricks

Power BI

Data storytelling

Dashboards

Stakeholder engagement

Analytical thinking

Visualization

Tools

Databricks

Power BI

Jira

Job description

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 visualization 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.
• Analyze datasets to identify trends, opportunities, risks, and performance indicators.
• Provide recommendations and insights that support data-driven decision-making.
• Build, enhance, and maintain dashboards for performance reporting, operational monitoring, and user behaviour analytics.
• Design intuitive and impactful visualizations 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 analyze 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.

Technical Skills

• Proficiency in SQL and Python for data analysis.
• Hands-on experience with dashboard and visualization tools (e.g. Databricks, Power BI).
• Experience using Databricks or similar analytics platforms.
• Ability to create compelling visualizations 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.