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Data Analyst
Arsenault
- Liverpool, England, United Kingdom
- Liverpool, England, United Kingdom
About
To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. As a data analyst you will gather and scrutinise data using specialist tools to generate information that helps others make decisions. You will respond to questions about data and look for trends, patterns and anomalies within it.
Key Responsibilities
develop records management processes and policies
identify areas to increase efficiency and automation of processes
set up and maintain automated data processes
identify, evaluate and implement external services and tools to support data validation and cleansing
produce and track key performance indicators
develop and support reporting processes
monitor and audit data quality
liaise with internal and external clients to fully understand data content
gather, understand and document detailed business requirements using appropriate tools and techniques
design and carry out surveys and analyse survey data
manipulate, analyse and interpret complex data sets relating to the employer's business
prepare reports for internal and external audiences using business analytics reporting tools
create data dashboards, graphs and visualisations
provide sector and competitor benchmarking
mine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting tool
Requirements
excellent numerical and analytical skills
knowledge of data analysis tools - you don't need to know all of them at entry level, but you should show advanced skills in Excel and the use of at least one relational database
familiarity with other relational databases (e.g. MS Access)
knowledge of data modelling, data cleansing, and data enrichment techniques
Hadoop open-source data analytics
Google Analytics, SEO, keyword analysis and web analytics aptitude, for marketing analyst roles
the capacity to develop and document procedures and workflows
the ability to carry out data quality control, validation and linkage
an understanding of data protection issues
an awareness and knowledge of industry-specific databases and data sets
experience of statistical methodologies and data analysis techniques
the ability to produce clear graphical representations and data visualisations
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Languages
- English
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