Responsible for collecting, analysing and interpreting large datasets to help drive informed business decisions and improve overall performance.
Utilizing methodologies and approaches such as Data collection by gathering relevant data from various internal and external sources, Data Cleaning and Preparation : Processing raw data to ensure data quality.
Data Analysis : Applying statistical and analytical techniques to extract meaningful insights from the data.
Data Visualization : Creating charts, graphs, and other visual representations to communicate findings effectively through clear storytelling and also advises users appropriately on this.
Reporting and Presentation : Preparing reports and presentations to share insights with stakeholders.
Tool and Technology Management : Utilizing and maintaining relevant software and tools for data analysis and visualization.
Statistics and probability : be familiar with basic statistical concepts such as hypothesis testing, Monte Carlo simulations, expected values, standard errors, Central Limit Theorem, confidence intervals, etc.
This is key to be able to draw accurate conclusions from data and avoid biases and wrong decision making
Ensuring data security, privacy, and compliance with internal requirements and external regulations.
Working closely with other teams and departments to understand their data needs and provide actionable insights.
Be the interface between their functions, the data ecosystem and the requested solution.
Coach the function in the data-driven mind-set.
Actively contribute and share best practices, findings, and techniques with the wider data community.

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