Tech Data Analyst

2 days ago


Sydney, New South Wales, Australia BURGEON IT SERVICES Full time $80,000 - $120,000 per year

Position: Tech Data Analyst

Location: Sydney

Duration: 6 months

Position Summary

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, 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 Optus group.

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.


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