Senior Data Analyst

Job title : Senior Data Analyst
Location : Melbourne
Job type : Permanent / Full Time
Contact name : James Cousins
Contact email : jcousins@sharpandcarter.com.au
Job reference : 1178884
ABOUT THE ORGANISATION:

My client is a very reputable multinational organisation, in the transportation and the logistics industry. 

ABOUT THE ROLE: 

This permanent position will be perfect for you as a data analyst who is excited to work within an industry giant and flex your ability to work with certain technologies to manipulate data. 

OVERALL PURPOSE OF THE ROLE:
 
Reporting to the Head of Commercial Analytics, this role will be accountable for the development and implementation of profitability systems and data infrastructure to support the commercial Analytics capabilities for Global Express.
 
The key challenge for this role is to be the primary liaison point between IT, Finance & operations to develop & maintain the BU wide profitability framework.  The role requires expertise in data universe design, profitability modelling, activity based costing, project management and the ability to interpret business requirements into IT architecture change deliverables.
 
PRIMARY DUTIES AND RESPONSIBILITIES: 
  • Partnering with IT and business SMEs to source and extract data (unstructured, semi structured and structured) and to know how to use it in a commercial context.
  • Building data cubes for self service use outside the technical analytical teams
  • Data architecture design and maintenance
  • Building, maintaining, and administering a data dictionary and knowledge sharing resource.
  • Map out and locate all data elements required to support the profitability modelling for the team. Work on a future design of how these elements can be merged together into one analytics environment.
  • Delivery of the strategic data analysis platform which is designed to provide a comprehensive suite of data sources and reporting & analytical tools to enhance profitability analysis capabilities. This includes PVT, UAT, training and business support.
  • Map out and locate all data elements required to support the profitability modelling for the team. Work on a future design of how these elements can be merged together into one analytics environment.
  • Manage stakeholder relationships to align profitability framework and data strategy to broader business and IT infrastructure strategies.
  • Build and maintain effective working relationships relating to pricing and profitability systems and data across all Global Express business units.
  • Ensure regular communication with other Pricing & Analytics and Profitability team members and their key stakeholders to ensure a consistent and profitable overall pricing approach.
SKILLS ESSENTIAL TO THE JOB
 
Technical:
  • Experience with data lakes and unstructured datasets
  • Advanced data warehousing, SSIS and ETL skills
  • Data architecture design and maintenance
  • Advanced SQL data transformation and manipulation skills.
  • Advanced Power BI skills.

Leadership / Team working:
  • Demonstrated organisational skills and a track record of being pro-active to ensure business objectives are progressed.
  • Ability to build strong inter-and-cross functional relationships to integrate and drive best practice in reporting and analysis
  • Ability to run and manage projects through to completion
  • Develop and maintain the technical skills and capabilities necessary to meet business requirements and drive continuous improvement
  • Collaborative and flexible approach to decision making balanced with an ability to stand firm to promote commercial outcomes
Personal Attributes:
  • Commercially Savvy
  • Effective problem solving
  • Highly developed written and verbal communication skills
  • High developed interpersonal skills
  • Self-motivated and enthusiastic approach to work
  • Able to work autonomously or as a member of a team
  • A forward planning/strategic work outlook
  • Able to improvise, adapt and overcome objections/resistance and achieving goals
  • Comfortable dealing with ambiguity
QUALIFICATIONS REQUIRED:     
  • Relevant Tertiary Qualification: Business, Accounting, Computer Science or Engineering