Senior Data Analyst

6 days ago

Liverpool, United Kingdom H M Revenue & Customs (HMRC) Full time
To apply direct for this role please visit Civil Service Jobs

About Customer Compliance Group:

Customer Compliance Group (CCG) ensures that HMRC successfully collects the full and accurate amount of money due from taxpayers, investigates offences against the tax system and takes action to identify and mitigate potential threats. CCG is the largest business group in HMRC, with over 26,000 people working in this area.

About Risk Intelligence Services:

HMRC's Risk and Intelligence Service (RIS) collects, integrates and analyses one of the largest and most diverse range of data and intelligence in the world. This enables HMRC to understand and manage risks associated with non-compliance with the UK tax system.

We invest in and support the development of our people, their skills, and tools, fostering a supportive, professional, and respectful working environment.

Job descriptionAs a Senior Data Analyst, you will have access to one of the biggest data platforms in UK government.

Our Senior Data Analysts demonstrate high levels of experience and ability when using a range of cutting-edge analytical tools and software, manipulating complex datasets to develop insight and risk.

You will lead on our technical standards of analysis and are responsible for the quality of our analytical products, ensuring standards are upheld and improved. Youll provide leadership and guidance on big projects and support our data analysts on complex profiles, encouraging delivery through others and seeking new and innovative ways of working.

Important candidate information

SC level security clearance is required - the successful candidate can apply for this when they join but appointment is conditional on obtaining this.

Candidates will need to meet the minimum UK residency period as determined by the level of security vetting being undertaken, which for SC is 5 years UK residency prior to your vetting application. If you do not have a minimum of 5 years consecutive residency in the UK, then your application will be rejected.

Successful applicants will be required to obtain SC clearance prior to their start date.Person specification

Key Responsibilities:

Use new tools and techniques to develop your expertise for manipulating large datasets, including a range of taxpayer, government, public and commercially available information.

Initiate and undertake complex and accurate analysis.

Train and mentor, our data analysts, building their confidence and capability.

Review, advise and support more junior members, and establish processes, standards and templates for others to follow, improving the efficiency and quality of visualisations.

Build capability within our analytical community, developing effective and efficient working processes which encourages our people to flourish.

Advocate data governance and data management standards and guidelines within your teams products and services.

Essential Criteria

Analysis and synthesis You are able to understand and help teams to apply a range of methods to analyse research data and synthesise findings.

Communication You can demonstrate supporting or hosting difficult discussions within the team or with diverse senior stakeholders.

Data management You have experience of developing processes to enable good data management practices and compliance with data governance policies.

Data modelling, cleansing and enrichment - You will ensure data for analysis meets data quality standards and is interoperable with other data sets, enabling reuse and work with other data professionals to improve modelling and integration patterns and standards.

Logical and creative thinking You are able to ensure that the most appropriate actions are taken to resolve problems as they occur.

Project management You will share knowledge and experience of project management methodologies with others, including tools and techniques.

Leadership - You have proven experience of leading and/or mentoring others through project work or professional development activities.

Desirable Criteria

Experience of data analysis or data science using a programming language for example, R, Python, SQL or SAS.

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