Data Analyst

Description:

This recruitment is continuing as usual, but candidates should be aware that following the Government’s announcement on the changes to some civil service departments, roles will be located in the new Department for Business and Trade. We will provide more information if you are selected for a role. This work remains of high importance to the civil service, and we thank you for your continued interest.

The newly created Department for Business and Trade brings together the business focused functions of the former Department for Business, Energy and Industrial Strategy (BEIS) and the Department for International Trade (DIT). Our joint expertise in trade and business provides us with a unique opportunity to unleash the power of UK businesses, reform regulation to reduce burdens and unlock post-Brexit freedoms.

Job Description

As Data Analyst you will use high quality datasets held inside and outside DBT (Department for Business and Trade) including data and management information, commercial and business data. The department has a relationship with international datasets from Org. for Economic Cooperation and Development, World Bank and UN Comtrade; statistical microdata and large datasets from the Office of National Statistics and Her Majesty’s Revenue and Customs. You will analyse and facilitate the analysis of these datasets, working independently on projects to help DBT get insight from them.

Join our Data Infrastructure team as a Data Analyst and help us transform DBT into an insight-driven organisation that tells compelling stories with its data. You will be based alongside the multidisciplinary team responsible for developing our ground-breaking data and insight platform, Data Workspace. The service gives our staff access to a catalogue of key trade data and a suite of powerful tools with which to analyse and explore it.

This role is available in three UK locations, including central London, Cardiff, and Darlington’s new economic hub. This role can only be worked from within the UK and not overseas. Most DBT employees will be working a hybrid pattern, spending 2-3 days a week (pro rata) in the office on average. Changes to these working arrangements are available in certain circumstances but must be agreed with the vacancy manager and in line with the requirements of the role. Travel to your primary office location will not be paid for by DBT, but costs for travel to an office which is not your main location will be covered.

Responsibilities

You will be an experienced Data analyst who can:

• Work in an Agile team and work independently to deliver data analysis projects. During projects, collaborate with colleagues across the business to understand the data insights that would add the most value in their area and work out the best way to meet those needs.
• Apply tools and techniques for data analysis and data visualisation, working across a broad range of areas such as business intelligence, data assurance and quality.
• Produce compelling analysis and visualisation of data (e.g., dashboards) to provide actionable insights to technical, policy and operational colleagues.
• Develop a deep understanding of the systems we use to organise and store data, identifying and assessing new data sources, and investigating and resolving problems as they occur. Use these to manage and maintain data, ensuring it aligns to DBT’s data standards, is protected, and used in line with established governance.
• Have enthusiasm for helping colleagues to get the maximum value from data. To enable this, you will take a proactive approach to developing your skills and sharing them with others. As part of this you will design and facilitate training for other across the department in the usage of our data analysis tools.

Person specification

Essential Skills and Experience

You will need to have demonstrable skills and experience of:

• Data visualisation: you should understand how to tell compelling and actionable stories that are relevant to business goals. This will include experience with a dashboarding/BI tool (for example Tableau, Power BI, AWS QuickSight, Google Data Studio, or others).
• Good communication skills, to communicate accurate information to technical and non-technical stakeholders.
• Using SQL (Structured query language) to bring data together from different sources and get them ready for analysis using cleaning and preparation techniques.

Desirable Skills and Experience

These are not necessary but would be ideal if you had:

• Experience using another computer programming language (e.g., Python or R) to bring data together from different sources and get them ready for analysis using cleaning and preparation techniques.
• Knowledge of project management techniques, particularly using Agile techniques, to manage projects independently.