Data Analyst/Delivery Lead

Greetings

We have an urgent opening for "Multiple Data Analyst role " in Sydney , Australia. Please let me know your interest. Also you can refer us if anyone is interested contact to  Seek at / or : 

Role 1 –"Delivery Lead"

Location – Sydney, Australia

Duration : Contract

Position Summary

We don't sit back and wait for the future to happen—we craft it through technology, innovation, and investment. As a challenger brand with challenger spirit, Optus is seeking a Delivery Lead to drive the enterprise‑wide data lifecycle management agenda. Partnering closely with the Data Product Manager, architects, and application owners, you will orchestrate discovery, solution design, and delivery of scalable data management and data retention patterns across the Optus group.

This role blends delivery leadership with data/application analysis: you will lead cross‑functional teams, run workshops, map processes, prioritize and govern backlogs, and ensure the timely, high‑quality implementation of data retention and risk‑mitigation capabilities.

Key Responsibilities

1) Delivery Leadership & Governance

• Own end‑to‑end delivery (scope, schedule, budget, quality) for the Data Lifecycle/Retention workstream(s).
• Establish and run delivery governance: RAID (Risks, Assumptions, Issues, Dependencies), change control, approvals, and compliance gates.
• Coordinate cross‑functional squads (engineering, architecture, security, risk, legal, product, business) to meet milestones and value outcomes.
• Manage vendor/partner deliverables and ensure contract/SLA adherence where applicable.
• Provide clear, proactive communications—status, decisions, and escalations—to stakeholders and leadership.

2) Data & Application Analysis

Lead investigations of applications and their data to assess risks, retention needs, and compliance (spanning brands, segments, channels).

• Collaborate with application owners and technical SMEs to understand data flows, integration points, business/technology processes, and their impact on data assets.
• Provide reporting, visualizations, and insights based on data analysis to inform design decisions.
• Gather and analyze stakeholder requirements for effective data risk management.

3) Solution Design & Delivery

• Work with solution architects, product managers, and business stakeholders to design, develop, and evaluate data retention and management solutions.
• Identify opportunities to enhance data risk management through automation and technology.
• Translate requirements into Epics, User Stories, Acceptance Criteria, and Test Cases in Jira; keep the backlog prioritized with clear timelines.
• Break down deliverables with architects/engineers into estimable increments; enable incremental value delivery.
• Collaborate with engineers and testers to ensure deliverables meet Definition of Done and acceptance criteria; provide actionable feedback.

4) Agile Facilitation & Ways of Working

• Facilitate team ceremonies: daily stand‑ups, sprint planning, reviews/demos, retrospectives, and backlog refinement.
• Document outcomes from workshops/meetings with clarity and convert insights into actionable backlog items.
• Champion continuous improvement in throughput, flow efficiency, and quality.

Required Qualifications & Experience

• 8–12+ years of total experience, including 4–6+ years leading data or application delivery initiatives in complex enterprises.
• Demonstrated success delivering data management/data retention or adjacent data governance/risk management solutions.
• Hands‑on experience with Jira/Confluence (or similar) for backlog and delivery governance.
• Proven ability to manage RAID, cross‑team dependencies, and executive‑level reporting.
• Strong communication and documentation skills; ability to convert discovery into clear, testable work items.

Nice‑to‑Have

• Exposure to Azure/AWS/GCP data platforms (e.g., ADLS/S3, ADF/Glue, Synapse/BigQuery, Databricks/Spark).
• Knowledge of data governance/privacy (e.g., GDPR, retention schedules, information classification).
• Experience in telecom or large‑scale consumer services.
• Certifications: Scrum Master (PSM/CSM), Prince2/PMI, SAFe, Azure/AWS fundamentals.

Tools & Technologies

• Delivery: Jira, Confluence, MS Project/Smartsheet, Miro.
• Visualization/Reporting: Power BI/Tableau, Excel.
• Collaboration: MS Teams, SharePoint.

Data (nice‑to‑have): Azure Data Factory, Databricks, Synapse, SQL, Python (for analysis/validation).

Role 2: Tech Analyst/ Data Analyst (6 Years)

Role Type: Contract

Location: Sydney

Position Summary

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.

Key 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.

Must‑Have

• 5–7 years of experience as a Data Analyst (or similar) in complex enterprise environments.
• Business Analysis & Critical Thinking,Stakeholder management
• 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).

Nice‑to‑Have

• 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.

Education & Certifications

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or equivalent practical experience.
• 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.