Data Analyst

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit

to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Salary Range: AUD Annual Gross

Short Description:
Looking for Data Analyst.

We don't sit back and wait for the future to happen—we craft it through new technology, innovation, and investment. As a challenger brand with a challenger spirit, We are seeking a Data Analyst (around 6 years' experience) to support our enterprise‑wide data lifecycle management and data retention initiatives while delivering high‑quality insights for business stakeholders.

You will work closely with the Data Product Manager, solution architects, application owners, and engineering teams to analyze data structures and application landscapes, design meaningful reports and visualizations, translate requirements into clear backlog items, and help drive compliant, scalable data management patterns across the group.

Location :Sydney

Roles and Responsibilities:

Data Analysis & Insights

• Perform data extraction, profiling, cleansing, and transformation using SQL and Power BI/Excel to produce accurate, trusted datasets.
• Build and maintain dashboards, reports, and ad‑hoc analyses that provide actionable insights for business and technology stakeholders.
• Present findings clearly—telling the story with data, trends, anomalies, and recommended actions.

Data Lifecycle & Risk Support

• Investigate applications and their data to assess retention needs, risks, and compliance implications across brands, segments, and channels.
• Map data flows and integration points between systems; document data lineage, usage, and control gaps with SMEs and application owners.
• Partner with solution architects and product managers to evaluate retention and data management solutions; identify opportunities for automation and process improvement.

Requirements, Documentation & Stakeholder Collaboration

• Lead/participate in requirement‑gathering sessions and workshops; translate outcomes into Epics, User Stories, Acceptance Criteria, and Test Cases in Jira.
• Maintain clear documentation (source‑to‑target mappings, calculation logic, validation rules, report specs) to ensure transparency and repeatability.
• Engage effectively with cross‑functional teams (engineering, security, risk, legal, business) and manage expectations through structured updates.

Delivery & Agile Ways of Working

• Contribute to backlog refinement and prioritization, ensuring items are well‑scoped, testable, and aligned to timelines and value outcomes.
• Support and/or facilitate agile ceremonies (stand‑ups, sprint planning, reviews/demos, retrospectives); drive continuous improvement in quality and throughput.
• Validate deliverables against the Definition of Done and acceptance criteria; drive rigorous data quality checks and reconciliation.

Quality, Governance & Compliance

• Apply data quality frameworks (completeness, accuracy, consistency, timeliness), define validation rules, and track defects through closure.
• Ensure adherence to data policies (retention, privacy, information security) and audit readiness with appropriate evidence and artifacts.
• Contribute to standardized metrics and reporting for compliance and delivery governance.

Skill / Competencies / Experience:

ESSENTIAL

• 5–7 years of experience as a Data Analyst (or similar) in complex enterprise environments.
• Strong SQL skills (data extraction, joins, window functions, performance basics) and hands‑on experience with Power BI (data modeling, DAX/Power Query, visuals).
• Demonstrated experience analyzing application data structures, mapping data flows, and working with technical SMEs.
• Proven ability to translate ambiguous business problems into clear analytical outputs and backlog items (Epics/Stories/AC).
• Excellent documentation, communication, and stakeholder management skills; highly organized, proactive, analytical, and detail‑oriented.
• Working knowledge of Agile frameworks (Scrum/Kanban) and delivery tools (Jira/Confluence).

PREFERRED

• Exposure to cloud data platforms (e.g., Azure ADLS/ADF/Synapse/Databricks, or AWS/GCP equivalents).
• Awareness of data retention/privacy (e.g., GDPR principles), data governance, and metadata/lineage tools (e.g., Collibra).
• Experience with Python for analysis/automation (pandas), and Excel advanced features (Power Query, advanced formulas).
• Telecom or large‑scale consumer services domain experience.

ADDITIONAL

Education & Certifications

1. Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or equivalent practical experience.
2. Certifications (nice‑to‑have): Microsoft Power BI, Azure Fundamentals, PSM/CSM.

Tools & Technologies

• Data & BI: SQL, Power BI (DAX, Power Query), Excel.
• Collaboration & Delivery: Jira, Confluence, MS Teams, SharePoint.
• (Optional/Plus): Python, Azure (ADF/ADLS/Synapse/Databricks), Git.

At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email or call Alternatively, you can include your preferred method of communication in email, and someone will be in touch.

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

"All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer."