At its core, the role of the data analyst is to comb through facts, statistics and other raw data gathered from various sources to build a holistic view of the scenario which they have been tasked to model. This scenario provides the basis for further insights and analysis, in order to propose various solutions to the given challenges, and predicting their likely outcomes, thus aiding the company in developing effective strategies.
This eventual output involves a myriad steps and competencies. You will produce and track key performance indicators and work with IT teams, management and data scientists to determine organizational goals. Once you have established your goals, you will be responsible for developing records management processes and policies, setting up and maintaining automated data processes, as well as gathering, understanding and documenting detailed business requirements using appropriate tools and techniques.
You will mine data from primary and secondary sources, analysing large datasets to draw valid inferences. Data quality must be audited and maintained, through efficient automation processes. Tools to support data validation and cleansing must be developed in order to retain only relevant information.
Once the data is gathered and qualified, you will develop and support reporting processes. You will liaise with internal and external clients to fully understand data content while manipulating, analysing and interpreting complex data sets relating to your employer’s business, using statistical tools and techniques.
Your learnings must then be represented in reports for internal and external audiences using business analytics reporting tools, data dashboards, graphs and visualisations. You will provide sector and competitor benchmarking, pinpoint trends, correlations and patterns, and provide concise data reports and clear data visualisations for management.
All the while, you will be improving processes by designing, creating and maintaining relational databases and data systems and working through code problems and data-related issues, all to ensure the most accurate information is available, and that the most valuable insights and strategies are presented to management.