Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, team-oriented workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P; 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Our Culture:

Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.

At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Job Summary:

We are seeking an experienced Data System Analyst who can make an immediate impact in a complex enterprise data environment. The successful candidate will work autonomously, take ownership of discovery and analysis,



and translate business needs into clear, high-quality analytical artefacts that development and testing teams can use without delay.

This role requires a confident practitioner who can engage directly with senior business stakeholders and technology teams, accelerate delivery, and contribute effectively from day one with minimal supervision or mentoring overhead.

Key Responsibilities:

- Lead discovery and analysis activities independently, establishing the approach, scope, and priorities required to move work forward.
- Facilitate workshops and conduct stakeholder interviews to elicit, challenge, refine, and validate business requirements.
- Build a rapid understanding of business processes and translate them into accurate source-to-target data flows.
- Produce complete, development-ready analytical artefacts, including data mapping specifications, data lineage documentation, functional and non-functional requirements, business rules, and transformation logic.
- Develop sample SQL queries and data-validation artefacts to support solution design, implementation, and quality assurance.
- Provide timely requirements clarification and data-analysis support to developers and testers throughout delivery.
- Identify ambiguities, data risks, dependencies, and gaps early,



and drive them to resolution with the appropriate stakeholders.
- Maintain strong working relationships with senior business representatives, data specialists, architects, developers, and testing teams.
- Support delivery velocity by working proactively and minimizing reliance on existing squad members for day-to-day guidance.

Required Experience and Knowledge:

- Extensive experience as a Senior Data Analyst or Data Systems Analyst in complex enterprise data environments.
- Strong knowledge of the Insights Platform and its role in enabling strategic business outcomes.
- Demonstrated ability to work independently, manage competing priorities, and deliver high-quality outputs with minimal supervision.
- Proven experience leading requirements workshops and stakeholder interviews across business and technology audiences.
- Deep understanding of enterprise data models, data lineage, data architecture, and associated governance concepts.
- Proven ability to understand unfamiliar business processes quickly and map end-to-end source-to-target data flows.
- Experience supporting development and testing teams through requirements clarification, solution design, and data-validation activities.

Technical and Analytical Capabilities:

- Advanced SQL: Ability to write sample queries, investigate data, reconcile results, and create validation artefacts that developers and testers can readily apply.
- Data analysis: Ability to profile datasets, identify anomalies, assess data quality, and translate findings into actionable requirements.
- Data modelling and lineage: Strong understanding of logical and physical data structures, system interfaces, lineage, and transformation pathways.

📌 Senior Data Analyst (Sydney)
🏢 Cognizant
📍 Sydney