About this course

Being a Data Analyst means has different meanings to different organisations.However, the role is pivotal in ensuring the organisation can use analytics and data science methodologies on large/small scale quantitative data to improve understanding of offering, increase knowledge of processes and help measure the impact of our work. This role is fundamental in ensuring an organization can make evidence-informed business decisions and position the organisation as a trusted, knowledgeable and influential force in the food manufacturing sector.

What you’ll be doing:
• Champion analytics with data by positioning it as central to the organisation
• Analysing large datasets to identify patterns, trends, and insights
• Utilise expertise and best practice to drive a portfolio of quantitative analytics projects to enable more robust impact measurement
• Deepen sector and audience understanding your organisation
• Delivery of research and evidence to support leadership decisions
• Serve as the point of contact for analytics and proactively integrate data analytics into our delivery
• Communicate and disseminate data analytics findings, ensuring analytical findings are accessible, searchable and kept up-to-date for stakeholders
• Present data analytics findings in a comprehensible, actionable manner for a non-specialist audience

You are expected to have a prior:
• Experience generating internal and client facing reporting, providing concise, action driving dashboards and reports across a wealth of different data sources
• Experience with Microsoft or cloud technologies leveraging SQL Server, Azure Cloud Services, and PowerBI/Tableau. You will work on data sources that stretch far and wide from internal systems to client integrations which will leverage artificial intelligence to analyse industry and food manufacturing trends.

Our Data Analytics instructor is happy to guide you on this journey through a tailored training to help you achieve these qualities of a sorted data analyst.

Other Instructors:

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