● Understand data structures, data storage and data systems.
● Understand data creation and how to connect from operations to reporting.
● Set up and maintain automated data reports.
● Identify, evaluate and implement external services and tools to support data validation and cleansing.
● Build reports appropriate to provide operations with business value and enabling management oversight.
● Data visualisation and analysis by utilizing markert standard tools for clear presentation of results.
● Guide businesses towards existing opportunities and resources, Data selection and extraction.
● Ensure data compliance with regulations and maintain integrity.
● Analyse data to generate insights and understand exceptions.
● Processing confidential data and information according to guidelines.
● Supporting initiatives for data integrity and normalization.
● Generating reports from single or multiple systems.
● Develop be spoke analysis; highlighting and understanding areas underperformance.
● Build and model out decision-making models.
● Troubleshooting the reporting database environment and reports.
● Learn how Business services operate and how to support the broader business in achieving the company goals.
● Learn and apply the science behind management and how data, processes, systems and people all work together to deliver continuous improvement.
● R Programming, SQL, PowerBI, SQL Server, Python, DBT, Web Analytics (GA), Google Sheets, Tableau.
● Familiar with Machine Learning and Artificial Intelligence concepts.
● Proficient in probability and statistics, including sampling methodologies, statistical biases, A/B testing, and experimental design.
● Working in an agile and collaborative environment (GIT, Development Standards, Code Review, Pair programming).
● Ability to clearly explain and adapt to make job tasks and results accessible to technical and non-technical stake holders.