Job Description

Requirements:

• Bachelors degree in Business, Finance, Data Science, or a related field
• Masters degree preferred.
• 2 5 years experience in a similar role
• Proven experience in data analysis, reporting, or a related role.
• Proficiency in data analysis tools such as Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Experience with Sage X3 is beneficial.
• Experience with robotics automation is advantageous
• Experience in a logistics and manufacturing environment is beneficial
• Experience with database management and querying large datasets.
• Knowledge of statistical analysis and modelling techniques.
• A insatiable appetite for automation
• A curious and creative mindset
• Strong computer knowledge including, but not limited to Sage or SAP and Microsoft & Google Office Suites (Advanced spreadsheet based skills).
• Have a strong analytical mind that is efficiency and solutions driven.
• Strong verbal and written communication skills.
• Ability to work collaboratively in a cross-functional team environment.
• Great organisation skills and problem solving abilities.
• Must be organized, able to multitask & have good time management skills.
• Securing and safeguarding, information and data in both a digital and physical environment.
• Ability to design systems and processes.

Duties and Responsibilities:

• Collect, analyse, and interpret data from various sources to identify trends, anomalies, and opportunities for improvement.
• Develop and maintain key performance indicators (KPIs) to track operational performance.
• Perform root cause analysis to identify factors impacting operational efficiency.
• Create and maintain regular operational reports and dashboards to provide insights to management and key stakeholders.
• Develop ad-hoc reports as requested by various departments to support decision-making.
• Collaborate with cross-functional teams to identify opportunities for process improvement.
• Propose and implement solutions to streamline operations and enhance efficiency
• Create visually appealing and informative charts, graphs, and presentations to effectively communicate data findings.
• Ensure data visualizations are user-friendly and accessible to a non-technical audience.
• Maintain documentation of data sources, methodologies, and report templates.
• Document and communicate changes in operational processes and procedures.
• Conduct regular data quality checks to ensure accuracy and reliability of reports and analyses.
• Collaborate with IT and other teams to resolve data integrity issues.
• Stay up-to-date with industry trends and emerging technologies related to data analysis and reporting.

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