Job Application

Your new company
You will be working for one of the largest ministerial departments, supported by 20 agencies and public bodies supporting businesses to invest, grow and export.

Your new role
Data Analyst - Active SC Clearance

What you'll need to succeed
The role requires candidates to hold active SC Clearance, due to the nature of the data handled - candidates who do not hold active SC Clearance cannot be considered.
Due to internal temporary transfers, an Interim Data Analyst role has become available - the initial duration required is 3 months in a hybrid working environment (40%).

The successful candidate will:

• Apply tools and techniques for data analysis and data visualisation
• Summarise and present data and conclusions in the most appropriate format
• Create and manage data assets and improve the health of our data catalogue
• Manipulate and link different datasets for analysis
• Create reporting dashboards or facilitate other teams to complete their own analysis work
• Support others in their use of our data platform and troubleshoot issues

You will have the following skills:

• Data management - understanding data governance and how it works in relation to other organisational governance structures
• Data visualisation - using the most appropriate medium to visualise data to tell compelling stories that are relevant to business goals and can be acted upon present, communicate and disseminate data appropriately and with influence
• Statistical methods - understand how and when to practically apply existing best practice solutions, understand how to apply a range of techniques for the analysis of data and synthesis of findings
• Data analysis software and tools - apply your knowledge and experience of tools and techniques supporting data analysis, including BI tools and statistical languages
• Datamodelling - produce data models and understand where to use different types of data models, understand different tools and can compare different data models, reverse-engineer a data model from a live system, understand industry-recognised Datamodelling patterns and standards
• Data quality assurance, validation and linkage - identify appropriate ways to collect, collate and prepare data, decide if data is accurate and fit for purpose, prepare and cleanse data

The client uses Data Workspace as a platform. It was created in 2019 and now hosts over 40 billion rows of data from over 200 different sources as well as more than a dozen analysis tools. Options for tools include JupyterLab and RStudio, as well as lesser known tools like Amazon Web Services (AWS) QuickSight and Theia/Superset.

What you'll get in return
This is an excellent role for an experienced Data Analyst to join the team and work alongside Project Teams managing high-value data requirements.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

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