Highly motivated Data Analyst with extensive experience in data mining, data modelling and data visualization. Skilled in multiple analytics tools such as Python, SQL and Tableau. Excellent communicator and is able to ta…
Highly motivated Data Analyst with extensive experience in data mining, data modelling and data visualization. Skilled in multiple analytics tools such as Python, SQL and Tableau. Excellent communicator and is able to take complex data and explain it in an understandable manner.
Performed detailed data analysis using SQL on data in the Single Customer
View and other data sources.
Analysed & manipulated data in Excel, and provided feedback to
clients.
Assisted with various aspects of the data management process.
Providing quality assurance of imported data.
Collecting, entering and organising, cleaning and analysing large
databases.
Managing and designing the reporting environment, including data
sources, security, and metadata.
Assessing tests, implementing new or upgraded software, and
assisting with strategic decisions on new systems.
Performed data mining and data modelling to identify trends and
develop reports to inform business decisions.
Created a visual representation of data to enable easy
interpretation by non-technical staff.
Documented and maintained data structures to ensure accuracy and
integrity.
Performed detailed data analysis using SQL on data in the Single Customer View and other data sources.
Analysed & manipulated data in Excel, and provided feedback to clients.
Assisted with various aspects of the data management process.
Providing quality assurance of imported data.
Collecting, entering and organising, cleaning and analysing large databases.
Managing and designing the reporting environment, including data sources, security, and metadata.
Assessing tests, implementing new or upgraded software, and assisting with strategic decisions on new systems.
Performed data mining and data modelling to identify trends and develop reports to inform business decisions.
Created a visual representation of data to enable easy interpretation by non-technical staff.
Documented and maintained data structures to ensure accuracy and integrity.
Developed and implemented strategies to ensure data quality and accuracy.
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