Data Analyst - Fraud

£42,893 - £50,220 Based on capability. The base salary of this grade is £46,169 for London and £42,382 for other locations.
Published on 17 December 2024 Deadline 7 January 2025

As part of the data team within the Threat Intelligence and Counter Fraud team, you’ll be a key driver in enhancing One Login’s ability to find and prevent fraud.

You’ll focus on using event-level data from a range of sources and turning it into actionable insights and outcomes. You’ll be proactive and work effectively as part of a team while also building relationships with people from across the programme in a variety of disciplines. You’ll communicate progress and your findings through effective storytelling and data visualisation.

As a Data Analyst - Fraud you’ll:

• build and maintain the fraud monitoring, using analysis and insights to optimise our alerting and rules
• design and build data products for different stakeholders to enhance how they work - for example, interactive tooling to improve proactive monitoring or making investigations easier
• derive insights through analysis and share them with stakeholders, e.g., new fraud trends or about performance of the One Login fraud tooling
• measure and assess outcomes, for example, 'what success looks like', developing hypotheses and measurement frameworks - at both a strategic level and for fraud tooling components
• communicate findings and provide recommendations to a range of stakeholders in understandable and engaging ways - such as show and tells, dashboards, and other data visualisation methods
• develop an understanding of the data across the product, including data flows and relevant retention periods, to provide data requirements to the wider programme to ensure the fraud team can respond to any new threats
• remain alert to emerging fraud issues and trends, especially through working with other parts of the fraud function, to continually improve the data products we own

Person specification

We’re interested in people who have:

• experience in data analysis using data from a complex product environment
• experience conducting data analysis with database-type data, e.g., using SQL
• experience in using data visualisation techniques and tools
• ability to provide insight and translate data in a clear and concise manner
• experience of discovering and sharing analytical insight with stakeholders at all levels of seniority, with varying levels of analytical capability
• experience of gathering and understanding data requirements, and working with stakeholders to build suitable technical solutions
• ability to take a strategic view of data across a whole product and programme, and understand dependencies, as well as privacy and security viewpoints

The benefits of working at GDS

There are many benefits of working at GDS, including:

• flexible hybrid working with flexi-time and the option to work part-time or condensed hours
• a Civil Service Pension with an employer contribution of 28.97%
• 25 days of annual leave, increasing by a day each year up to a maximum of 30 days
• an extra day off for The King’s birthday
• an in-year bonus scheme to recognise high performance
• career progression and coaching, including a training budget for personal development
• a focus on wellbeing with access to an employee assistance programme
• job satisfaction from making government services easier to use and more inclusive for people across the UK
• advances on pay, including for travel season tickets
• cycle to work scheme and facilities
• access to children's holiday play schemes across different locations in central London
• access to an employee discounts scheme
• 10 learning days per year
• volunteering opportunities (5 special leave days per year)
• access to a suite of learning activities through Civil Service learning

GDS offers hybrid working for all employees. This means that everyone does some working from home and also spends some time in their local office. You’ll agree to your hybrid working arrangement with your line manager in line with your preferences and business needs.

Things you need to know

The standard selection process for roles at GDS consists of:

• a simple application screening process - We only ask for a CV and cover letter of up to 750 words. Important tip - please ensure that your cover letter includes how you meet the skills and experience listed in the “person specification” section above
• a 75 minute video interview which will include a presentation

Depending on how many applications we get, there might also be an extra stage before the video interview, for example, a phone interview or a technical exercise.

In the event we receive a high volume of applications, we will conduct the initial sift against the lead criteria which is:

Experience in data analysis using data from a complex product environment

While we value the use of AI technology to enhance our daily work, we also value the personal touch and urge applicants to write cover letters without the use of AI to emphasise their own unique experiences.

In the Civil Service, we use Success Profiles to evaluate your skills and ability. This gives us the best possible chance of finding the right person for the job, increases performance and improves diversity and inclusivity. We’ll be assessing your technical abilities, skills, experience and behaviours that are relevant to this role.

We’ll also be assessing your experience and specialist technical skills against the following skills defined in the Government Digital, Data and Technology Profession Capability Framework for the Data Analyst role:

• Analysis and Synthesis
• Communication

Candidates that do not pass the interview but have demonstrated an acceptable standard may be considered for similar roles at a lower grade.