Business Data Analyst

Cognizant; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Cognizant Singapore is seeking a mid‑level Business Analyst who blends business analysis with hands‑on data analytics. You will take data and analytics use cases from an initial business question through requirements, analysis, dashboard delivery, validation and UAT adoption.

Working directly with business and use‑case owners, you will translate needs into measurable outcomes, prepare data, build dashboards, validate results and support adoption across teams.

Qualifications

• Clarify ambiguous stakeholder needs into measurable requirements and acceptance criteria.

Responsibilities

• Translate data and analytics use cases from business questions through requirements, analysis and dashboard delivery.

Skills

Data analytics

Requirements gathering

Python

R

Tableau

Power BI

Data governance

UAT coordination

Stakeholder communication

Tools

Tableau

Power BI

Python

R

Amazon QuickSight

Job description

Seeking a Business Analyst who combines strong business analysis and hands-on data analytics skills.

You will take data and analytics use cases from an initial business question through requirements, analysis, dashboard delivery, validation and user acceptance.

Working directly with business and use-case owners, you will define measurable outcomes, prepare and analyse data, build fit-for-purpose dashboards, validate results and coordinate UAT and adoption.

The role is designed for a mid-level practitioner who can work independently within defined use cases and translate between business needs and technical/data requirements.

Job Requirements:

• Demonstrated ability to clarify ambiguous stakeholder needs and translate them into measurable requirements and acceptance criteria.
• Strong analytical and quantitative skills with the ability to independently apply relevant analytical tools and techniques for data compilation and analysis to meet business needs.
• Preferably with 3-5 years of relevant experience working with data, with knowledge in programming software / statistical tools like Python, R and/or visualization tools like Tableau, Amazon QuickSight, Power BI or equivalent.
• Good communication and presentation skills, and the ability to present with both technical and non-technical audiences.
• Familiarity with data governance principles, including data classification, risk-value assessment, and policy compliance, with an appreciation of how these apply within a structured governance framework