Business Analyst - Contract - Melbourne

Requirements

Business Data & Data Flow Analysis

· Analyse and document end to end business data flows across Middle Mile logistics processes, including shipment creation, execution, status events, costs, exceptions, and completion.

· Identify and validate source systems, data producers, consumers, and authoritative systems of record for MM related data.

· Define logical and physical data flows across upstream, Blue Yonder TMS, and downstream systems with explicit hand offs and ownership.

· Ensure alignment between business scenarios and the corresponding data events and transactions flowing through integrations.

Source Data & Data Readiness

· Analyse source data structures, availability, and constraints for systems contributing data to the MM implementation.

· Support data profiling activities by defining business rules, thresholds, and data quality expectations.

· Identify data gaps, inconsistencies, or quality risks impacting integration, testing, or cutover, and document remediation recommendations.

· Validate assumptions around data timeliness, completeness, and frequency from a business and operational perspective.

Enterprise Grade Data Standards & Guardrails

· Define and maintain enterprise grade data artefacts, including:

o Business Data Glossary – agreed business definitions for MM relevant data elements

o Data Dictionary – logical and physical attributes, formats, domains, validation rules

· Ensure artefacts align with customer specific data guardrails and standards, including:

o Naming conventions

o Data ownership and stewardship

o Mandatory / critical data elements

o Data classification and sensitivity constraints

· Work with enterprise data governance teams to ensure consistency with broader organisational data standards.

Blue Yonder–Grade Data Alignment

· Validate that business data definitions and flows are aligned with Blue Yonder TMS data models and event structures.

· Ensure correct interpretation of Blue Yonder specific concepts (e.g. shipments, orders, movements, events, costs) within business data artefacts.

· Support reconciliation between customer business terminology and Blue Yonder canonical data structures, ensuring clarity and traceability.

· Review and validate data elements included in interface payloads to ensure fit for purpose, BY grade data quality.

Testing, Cutover & Release Readiness

· Contribute to the Test Strategy and Traceability Matrix, ensuring coverage of:

o Business critical data scenarios

o Data driven exceptions and negative cases

o Reconciliation and reporting validation

· Support data readiness reviews for SIT, UAT, and pre cutover checkpoints.

· Provide input into Release & Deployment Readiness, focusing on:

o Data availability at cutover

o Data reconciliation approaches, Post go live data validation considerations

Integration Readiness & Traceability – optional

· Collaborate with Integration and Architecture teams to ensure that business data requirements are correctly reflected in:

· Interface specifications

· Payload schemas

· Transformation and validation rules

· Establish and maintain end to end traceability from:

· Business requirements → data definitions → interfaces → test scenarios