Requirements

Data Integrity:

• Maintain existing master data sets such as sector, product and pest types which are used for global reporting ensuring there is a robust exception process in place to identify issues or gaps in the master data.
• Work with stakeholders to validate and improve the data quality.
• Proactively identify third party data requirements and support its successful procurement and integration with other data sets.

Data Analysis:

• Work with stakeholders across the organisation globally, to understand priorities and business challenges and conduct advanced analytics (planned or adhoc requests) using the available data to support them.
• Use SQL, BigQuery, Python and Google Sheets to prepare and analyse large and complex datasets​.
• Develop predictive analytic models to support planning and fully realise emerging customer and industry opportunities.
• Be an analytics subject matter expert, build knowledge about existing and emerging technologies and techniques in the data-science area.
• Collaborate closely with the internal AI team to identify opportunities and integrate relevant AI functionalities and tools into data analysis projects to enhance insights and drive business value.

Reporting:

• Work with our Data Platform team and others to define the Business Insights data and technical requirements in the short, medium and long term.
• Measure global performance based on the demands from key stakeholders by working in conjunction with the Data Platform team to:
• Prepare QVDs
• Develop proof of concept (POC) reports and once approved push them into production
• Exploit tools (including Qlik, Looker Studio and others) to provide advanced analytics and data visualisation

Insights:

• Provide insight into complex relationships, trends and patterns in data to meet the needs of stakeholders.
• Based on the data analysis conducted, present findings clearly and concisely with actionable visual insights to senior stakeholders to influence decision making​.
• Utilise previous trends and predictive analytic models that you develop to provide future based insights.

QUALIFICATIONS & EXPERIENCE

• Grade 12
• Preferably hold relevant data analytics and insights degree or equivalent qualification/s.
• +3 years of data analytics and insights experience in large matrixed organisations.
• Highly numerate with excellent data manipulation and analytical skills.
• Proven ability to successfully influence others and support change through projects.
• Naturally curious and questioning insight who has the ability to cut through the data to identify what is most important for the decision making process.
• Be able to turn data into insights and present it clearly and concisely in a highly visual but easy to understand way.
• Advanced level of Google sheets / MS Excel and intermediate competence in Google Applications (Drive, Word, Slides) or Microsoft Office equivalent
• Proficient in  SQL / Big Query, Python and data visualisation tools such as Qliksense, Looker Studio (or equivalent)
• Excellent communication and stakeholder management skills, with experience communicating and working across various teams.
• Self-motivated, takes ownership and responsibility for making things happen.
• Adopts a flexible/can do approach to work and is highly resilient and results focused.
• Interest in application of AI for Data Analysis and Insight