Business Analyst (Data & Insights)

COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD.; Singapore; Sur place; SGD 60 000 - 100 000; Plein temps

Résumé du poste

Cognizant Technology Solutions Asia Pacific PTE. LTD. in Singapore seeks a mid-level Business Analyst to bridge business needs and data analytics, delivering requirements, dashboards and UAT support.

You will work with business owners to define outcomes, build data definitions, validate results, and drive adoption while adhering to governance and 3LoD practices. Strong SQL/Python/R skills and experience with Tableau/Power BI are valued.

Qualifications

• Experience with business analytics and data analytics concepts.
• Ability to translate business needs into measurable requirements and outcomes.
• Proficiency with analytical tools (SQL/Python/R) for data extraction and analysis.

Responsabilités

• Lead discovery with business owners to clarify problems, users, decisions, processes, measures and success criteria.
• Translate business needs into data definitions, requirements and analytical questions.
• Design, build and maintain dashboards and visualizations to meet business needs.
• Plan and lead UAT for data products, including test cases and sign-off.
• Document data definitions, processes and analytical methods for governance.

Connaissances

SQL

Python

R

Tableau

Power BI

Amazon QuickSight

AWS Management Console

Outils

Tableau/Power BI

AWS

Description du poste

What is the role about

We are 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 analyze 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.

What you will be working on

Use Case Delivery and Analysis

• Lead discovery with business and use-case owners to clarify problems, users, decisions, processes, measures and success criteria.
• Translate business needs into measurable outcomes, data definitions, process maps, data requirements, acceptance criteria and analytical questions.
• Use appropriate analytical tools (e.g. SQL/Python/R) to extract, prepare, reconcile and analyze data. .
• Clean, validate and investigate real-world datasets; document business rules, assumptions, limitations and agreed data treatments.
• Design, build and maintain fit-for-purpose dashboards and visualizations to meet business needs.
• Conduct exploratory and descriptive analysis and translate findings into clear recommendations for non-technical stakeholders.

User Acceptance and Adoption

• Plan and lead User Acceptance Testing (UAT) for data products, including test cases, expected results, defect triage, evidence, retesting and business sign-off.
• Distinguish business-rule or data-definition issues from engineering defects and work with Data Engineers or vendors on changes requiring AWS Management Console or Production access.
• Drive adoption and cultivate a data-driven culture through engagement sessions such as walkthroughs with users, preparation of training materials and clear explanation of metrics and analytical limitations.

Documentation and Cross-functional Collaboration

• Document requirements, data dictionaries, data definitions, process flows, decisions and analytical methods so work can be maintained by others.
• Facilitate cross-functional discussions among business owners, divisions and vendors.

3LoDGovernance Responsibilities

• Risk-value assessment support. Work with business and use-case owners to document the risks, sensitivity, and potential value of data for each use case, in line with Line 1's proactive risk management obligations under the 3LoDframework. Ensure that data definitions, acceptance criteria, and analytical assumptions are recorded in a manner that supports downstream governance review and audit.
• Policy and standards compliance. Ensure that dashboards, data products, and analytical outputs adhere to client's data classification, handling, and governance policies (including IM8 requirements). Flag non-compliant data treatments or edge cases to the Senior Data Analyst or data governance function for resolution.
• Risk escalation and collaboration. Identify and elevate data-related risks or governance issues arising from use cases — such as ambiguous data ownership, classification gaps, or quality anomalies — to Line 2 through established channels. Maintain clear documentation of issues raised and decisions made, in support of client's transparency and collaboration obligations under the 3LoD framework.
• Audit-readiness documentation. Produce and maintain requirements documentation, data dictionaries, data definitions, and analytical method records to a standard that supports Line 3 audit activities, including periodic audits of data governance processes and controls.
• Data governance culture. Actively contribute to client's data governance capability-building efforts by incorporating governance considerations into user walkthroughs, training materials, and stakeholder engagement sessions, in support of Line 2'sculture-building mandate.
  

What we are looking for

• Possess knowledge or experience in Business Analytics, Data Analytics, Computer Science, Information Systems, Data Science, Economics, Mathematics, Statistics and/or subjects with substantial quantitative content.
• 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 such as the Three Lines of Defense (3LoD).