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 YonderGrade 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