Job Description

Job description

Location and number of posts:

Glasgow – 8
Newcastle-upon-Tyne – 7
Leeds – 9
Manchester – 13
Liverpool – 7
Birmingham – 6
Cardiff or Bristol – 2
London – 15
Croydon – 3

The number of these posts by location are a guide and may change slightly when appointing successful applicants who will take up duty during May and June 2019.

Salary: £30,260 – £38,310
Job description:

At HM Revenue & Customs (HMRC), we make sure money is available to fund the UK’s vital public services and assist people with targeted financial support. With growing amounts of intelligence and data, it’s a very exciting time to join our expanding analytical community.

As a Data Analyst, you will have access to one of the biggest data platforms in UK government, which is unrivalled by our private sector counterparts. Using a variety of cutting edge tools, you’ll be at the forefront of tackling tax fraud, evasion and avoidance. You’ll be helping us to predict patterns of behaviour and understand emerging trends – and expanding the boundaries of what can be achieved using data.

You will lead on the exploration and exploitation of a range of complex data sets, analytical tools and techniques to support a range of stakeholders across HMRC. You will ensure that a wide set of innovative opportunities are explored; evaluating options, impacts, risks and solutions to provide clear problem definitions and inspiring full exploitation of new data and technology.

Our Data Analysts need to have a genuine passion for analytics, an innovative mindset and need to question current methods of delivery to enhance our processes and to offer a different perspective.

You can look forward to receiving our tailored training programme the support of a dedicated mentor and excellent career development.

Do you think you’ve got the skillset we are looking for?

Person specification

Our Data Analysts employ analytical skills to design and deliver products that identify individuals businesses and taxpayer behaviours of greatest risk to the UK economy.

Essential:

• Be proficient in using applications to manipulate multiple data sets, for example, using Excel to merge, analyse and consolidate data using pivot tables, functions and charts.

• Be comfortable in learning to use new tools and large data sets, including taxpayer, government, public and commercially available data.

• Be a good communicator, have an idea of how to influence management and communicate with technical and non-technical audiences.

• Work with challenging stakeholders to identify and clarify the overall scope and requirements of analytical work.

• Be able to manage conflicting demands and priorities and provide progress updates.

• Have a proven ability to be flexible and deliver to tight deadlines.

Desirable:

• Experience of delivering analytical projects in an analytical or statistics related field.

• Be proficient in the use of analytical software such as SAS, SQL and Pentaho or another package to manipulate complex data sets. Full training will be given to use all HMRC tools.

Qualifications

Candidates must have at least one of the following:

• A first or second class honours degree (2:2 minimum) in a subject containing formal mathematics and / or statistical training (e.g. Statistics, Mathematics, Economics, Sciences, Business Studies, Psychology, Geography, Computer Science or similar). Candidates may apply in their final year of study whilst they are still awaiting their degree result, however, formal offers will not be made until receipt of confirmation of the degree result.

• A Royal Statistical Society graduate diploma.

• At least 2 years’ experience, working in an analytical role in the last 5 years. Candidates will be required to demonstrate in their application form and at interview their continuing professional development that would demonstrate knowledge and experience of using software packages / tools to analyse and manage data at the same level as a foundation degree / HND (Level 5).

Please ensure that you provide details of your qualifications, and practical experience, including software tools and languages, in the career history section of the application form.

How to Apply

Job Types: Full-Time. Salaries: 20,000 - 40,000.

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