Data Analyst at South African National Parks (SANParks)

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.