Data Analyst

Role- Data Analyst x3

Location- Sydney- 5 days a fortnight from office (or 50% monthly)

Term- 12 months (230 business days capped)

Start date- ASAP

Overview:

The role is a Data Analyst will be supporting with their migration to a full acquirer stack managed by Fidelity Information Services (FIS) as part of its Merchant Modernisation (MEMO) program.

General Key Responsibilities

Remediation & Migration Analysis:

• Conduct deep-dive analysis into customer, transaction, and product data to support migration readiness and identify remediation needs.
• Design and maintain migration tracking tools, exception reports, and risk flags.
• Collaborate with product and operations teams to resolve data discrepancies or transformation logic.

Data Governance & Quality:

• Validate source-target mapping across legacy and new systems.
• Ensure data integrity, accuracy, and compliance with governance rules.
• Partner with Data Management teams on standard definitions and lineage tracking.

Data Mapping & Migration File Preparation:

• Lead data mapping activities between legacy and target systems, ensuring alignment with business and technical requirements.
• Build and validate files (or equivalent migration input files) to support phased customer transitions.
• Coordinate with developers and testers to ensure data mapping logic is accurately implemented and quality assured.

Automation & Data Engineering:

• Automate data processing pipelines and reporting workflows using Python and SQL.
• Build modular scripts and parameterized frameworks for batch processing and auditing.

Dashboards & Reporting:

• Develop interactive dashboards using Power BI, Tableau, or Streamlit to provide stakeholders with real-time insights.
• Design scalable reporting solutions for tracking remediation progress, and migration waves.

Stakeholder Engagement:

• Translate technical outputs into clear business insights for senior stakeholders.
• Facilitate discussions with multiple teams (product, operations, vendors, risk, compliance).
• Write business-friendly documentation for data logic, assumptions, and findings.

Technical Skills & Experience

Skill Area

Required Expertise

Python- Advanced scripting for automation, ETL, remediation checks, and data transformation

SQL (Teradata, Oracle)- Expert level. Able to write complex joins, CTEs, window functions, and optimize queries

Data Visualization- Experience with Power BI, Tableau, or Streamlit

Excel/Sheets- Advanced formulas, pivots, lookups, and formatting for business consumption

Version Control- Proficient in Git for collaborative development and version tracking

Cloud/Data Tools- Exposure to AWS SageMaker (preferred but not mandatory)

Jupyter Notebooks- Comfortable using notebooks for analysis and stakeholder storytelling

Soft Skills & Behaviours

• Structured Thinker: Able to break down complex problems into actionable steps.
• Strong Communicator: Can present data-driven narratives clearly to non-technical stakeholders.
• Highly Organised: Manages competing priorities with precision and meets tight deadlines.
• Stakeholder-Savvy: Builds trusted relationships across business, tech, and vendor groups.
• Proactive Problem Solver: Doesn't wait for instructions drives progress with initiative.
• Team-Oriented: Collaborative, approachable, and generous in sharing knowledge.
• Adaptable: Thrives in changing environments with shifting business priorities.

Experience & Background

• 2-4 years of experience as a Data Analyst or Analytics Specialist in Financial Services. 
• Proven experience supporting data migrations, system transitions, or customer remediation programs. 
• Experience working in a highly structured, fast-paced environment with multiple stakeholders. 
• Experience in regulated environments with strong data controls (banking, insurance, telco, etc.).