Junior Business Analyst at Vector Logistics

Job Purpose

• Play a leading role, as a member of the Analytics Centre of Excellence, in the transformation of Vector Logistics into an effective Insights Driven Organisation.
• Lead and provide Data & Analytics solutions to the business that drive value and support the business in making more informed, effective and intelligent business decisions.
• Leverage new tools and technologies such as Machine Learning, AI, and RPA in order to facilitate sustainable growth for Vector 

Key Responsibilities
Drive Continuous Business Improvement Initiatives

• In partnership with business users, identify continuous business improvement opportunities by developing appropriate Use Cases.
• Support Project/Product Owner to evaluate and quantify above mentioned Use Cases by helping perform a Cost-Benefit analysis.
• Assist functional teams to streamline Business Processes.

Develop Data & Analytics Solutions

• Lead and implement cross-functional data & visualisation projects.
• Liaise between business functions and technical teams to deliver analytics solutions.
• Unpack and document business requirements.
• Agree project scope and compile functional specifications.
• Review and analyse technical specification documents.
• Prepare the project plan by engaging all relevant parties.
• Plan for project-related hardware and software requirements by liaising on an on-going basis with the infrastructure team and external software supplier(s).
• Adhere to ways of working and governance.
• Ensure effective and timeous communication.
• Provide post-implementation guidance and support to end-users.

Provide Support and Training

• Lead and support Vector Logistics on their digital transformation and upskilling journey.
• Work in conjunction with the learning team, super users and citizen analysts to deliver and conduct end-user training on existing and new data analytics solutions.
• Assist business users in resolving BI related issues.
• Provide clear problem definition and liaise with the necessary technical experts and external consultants to resolve technical issues.

Develop Technical Expertise 

• Develop specialist knowledge of the relevant technologies to support.

Key Relationships
Internal

• Support and inform Vector Logistics Executive teams to deliver business objectives through data & analytics solutions.
• Data & Analytics Centre of Excellence – Lead, support and collaborate with the Vector Logistics Analytics Centre of Excellence users, and leverage synergies across common areas to drive best practice processes and data management across various teams.
• Technology & IT - Work with teams to maintain and support accurate data sources and solutions, and assist with delivering and designing fit for purpose architecture to support new and existing analytics solutions, while considering best practices.
• Vector Logistics business functions – Work with functional teams to drive insight into action and partner with business to deliver analytics solutions, as well as upskill and grow individuals within functional areas to support data strategy objectives.

External

• Customers – Collaborate with customers to identify, scope, design, propose and deliver value adding solutions.
• Partners/Consultants – Work together with technology partners and consultants to deliver key initiatives and support data & analytics platforms.
• Proactively identify and assist with implementing innovations, particularly those that will improve the success of projects and ultimately the overall performance of the business.

Qualifications, Skills and Experience Required for the Job

Qualifications and Experience

• Bachelor’s Degree in Engineering, Computer Science, Information Systems, Mathematics / Statistics or equivalent. A relevant post-graduate degree would be advantageous.
• Minimum of 1-2 years’ data & analytics experience.
• Success in managing data & analytics projects that have added value.
• Experience in food manufacturing, consumer and supply chain industries.

Skills and Competencies

• Systems Development Life Cycle
• Analytics problem methodologies
• Database/warehouse design principles
• Data modelling
• AI, Machine Learning & RPA technologies
• Data & Analytics
• Microsoft Power Platform (including Power BI, Power Apps, Power Automate, Power Virtual Agent and Power Pages)
• Microsoft Azure
• Microsoft SQL Server (including SSIS, SSAS & SSRS)
• Tabular Editor and DAX Studio (advantageous)
• SAP & BW