Requirements

• Be in possession of a Bachelor of Commerce/Bachelor of Business Science major (Finance, Economics, Data Science, Computer Science, Statistics, Mathematics, or related field).
• Should have 2 years of experience with data visualisation tools and techniques (e.g. Excel, SQL, Python, R, Tableau, Power BI).
• Have experience in data manipulation, management, and data warehousing.
• Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R, Tableau, Power BI)
• Proven experience as a Data Analyst, preferably within the tourism or hospitality industry.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
• Experience with data visualization tools and techniques.
• Attention to detail and a commitment to data accuracy.
• Ability to work independently and as part of a team in a fast-paced environment.
• Maintain knowledge of operational changes and external changes that impact revenue.
• Research on consumer behaviour.
• Writing quarterly reports on industry price benchmarking.
• Working closely with sales, marketing, and operations teams to align revenue management strategies with overall business objectives.
• Communication and interpersonal skills to work effectively with cross-functional teams and external stakeholders.
• Strong organisational skills and the ability to prioritize and manage multiple tasks efficiently.
• Problem-solving and decision-making.
• Addressing ad hoc requests.
• Presentation and facilitation.
• Change management.
• Leadership skills.

Responsibilities

• Gather, clean, and organize large datasets from various sources, including booking systems, customer feedback, and marketing campaigns.
• Use statistical techniques and data analysis tools to identify trends, patterns, and correlations within the data that can inform business decisions.
• Utilise advanced analytics techniques such as predictive modeling and machine learning algorithms to forecast demand, customer behaviour, and market trends.
• Analyse market data to identify growth opportunities, understand customer preferences, and evaluate the effectiveness of promotional campaigns.
• Use data to make predictions about future trends or behaviours, usually through probabilistic models.
• Explore large datasets to identify patterns or relationships that may otherwise go unnoticed.
• Implement improvements in data collection.
• Ensure the accuracy, consistency, and integrity of data by conducting regular audits and implementing data validation processes.
• Create and manage databases to store and organize data effectively.
• Troubleshooting any issues and implementing necessary updates or modifications to optimize database performance.
• Managing and designing the reporting environment, including data sources, security, and metadata.
• Develop and maintain dashboards, reports, and visualisations that provide clear insights into key performance indicators (KPIs), market trends, and customer behaviour.
• Analysis of data and reporting processes.
• Identify and implement improvements in data collection, analysis processes, and reporting methods to enhance overall efficiency and effectiveness.
• Present findings and recommendations to stakeholders in a clear and compelling manner, helping to drive informed decision-making across the organisation.
• Collaborate with cross-functional teams to understand their data needs and help them develop tools for collecting, organizing, and analysing information.
• Work with marketing, sales, and operations to share industry insights to assist in planning campaigns better and give SANParks a first-mover advantage.
• Training end-users on new reports and dashboards.
• Provide technical expertise in data storage structures, data mining, and data cleansing.
• Work with Revenue and Yield analysts and the research department.
• Work with operations to identify inefficiencies and potential areas of revenue leakages and risks.

Documents Required

Interested persons who meet the above qualifications should forward their applications which should consist of a cover letter, detailed Curriculum Vitae, certified copies of qualification(s), and Identity Document (certified within the past 3 months)