Day to day responsibilities:
* Interpreting data, analyzing results using statistical techniques.
* Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
* Acquiring data from primary or secondary data sources and maintaining databases
* 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 analyze survey data
* Manipulate, analyze 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.
* Automation of data collation, mergers of data and maintenance
* Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
* Locate and define new process improvement opportunities
* Playback data to those who are not data analysts
Technical skillset
High level of proficiency for Power BI, SQL, Excel, Access and Powerpoint
The data analyst can work across a broad range of data areas, including:
* Licensing / O365
* CMDB
* SNOW
* Active Directory
* SCCM
* DNS
* DHCP
* Azure
* Finance
* HR
* Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
* Acquiring data from primary or secondary data sources and maintaining databases
* 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 analyze survey data
* Manipulate, analyze 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.
* Automation of data collation, mergers of data and maintenance
* Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
* Locate and define new process improvement opportunities
* Playback data to those who are not data analysts
Technical skillset
High level of proficiency for Power BI, SQL, Excel, Access and Powerpoint
The data analyst can work across a broad range of data areas, including:
* Licensing / O365
* CMDB
* SNOW
* Active Directory
* SCCM
* DNS
* DHCP
* Azure
* Finance
* HR
