Job Description

Key deliverables include:-

Data Preparation

• Use automated tools to extract data from primary and secondary sources.
• Analyse, develop and re-organise data into a readable format to extract meaning.
• Design and maintain data systems and databases.

Quality Assurance

• Perform quality assurance and testing of data sets and solutions before deployment.
• Guide and support the business in performing user acceptance testing.

Collaborating with other teams

• Collaborate with programmers, engineers, and organisational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.

Data Protection

• Conform to data protection and privacy standards and policies.

Preparing Reports

• Utilise statistical tools to identify, analyse, and interpret patterns and trends in complex data sets.
• Strong mathematical skills to help collect, measure, organise and analyse data.
• Prepare reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.

Troubleshooting

• Fix coding errors and other data-related problems.

Technical Skills required:

• Knowledge of programming languages such as SQL and Python.
• Technical proficiency in database design development, data models, techniques for data mining, and segmentation.
• Experience in handling reporting packages, Business Objects, programming such as (JavaScript, XML, or ETL frameworks), and databases.
• Advanced MS Excel data analysis proficiency.
• Adept at using data processing platforms such as AWS. Hadoop and Apache Spark is an advantage.
• Knowledge of data visualisation software Quick sight, Tableau, QlikView, Denodo, and PowerBI.
• Be comfortable with working with financial data, understand accounting concepts

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