Business and Data Analyst in Redhill

Business and Data Analyst in Redhill

Redhill Full-Time 28800 - 48000 £ / year (est.) No working from home possible
Santander Consumer (UK) plc

At a Glance

  • Tasks: Analyse data and optimise processes in the Collections & Recoveries lifecycle.
  • Company: Join Santander, a leading financial services provider with a commitment to diversity.
  • Benefits: Enjoy competitive salary, 27 days holiday, private medical cover, and gym discounts.
  • Other info: Hybrid role with at least 3 days in the Redhill office; great career growth opportunities.
  • Why this job: Make a real impact by driving change and improving operational efficiency.
  • Qualifications: Experience in business analysis and strong analytical skills are essential.

The predicted salary is between 28800 - 48000 £ per year.

The Business & Data Analyst provides analytical and business analysis capability across the Financial Support Business Unit (FSBU), supporting system change, process optimisation and operational improvement across the end-to-end Collections & Recoveries lifecycle. The role applies structured data analysis to inform change decisions, quantify impacts and ensure process and system enhancements are evidence-based, controlled and commercially sound. It acts as a bridge between Operations, Technology and Change, ensuring requirements are clearly defined and solutions are operationally viable. Experience in business analytics, data analytics and Collections & Recoveries is essential. Please note this role is a hybrid role with at least 3 days a week in the Redhill office. Remote workers will not be considered.

Responsibilities will include:

  • End-to-End Process & Operational Optimisation
    • Analyse end-to-end Collections & Recoveries processes to identify inefficiencies, control gaps and automation opportunities.
    • Assess system functionality and workflow design to support optimisation and scalability.
    • Quantify operational impacts of proposed changes using data-driven analysis.
    • Support re-engineering activity with evidence-based recommendations.
    • Define measurable success metrics and track benefit realisation post-implementation.
  • Business Analysis & Change Delivery
    • Gather, structure and validate clear business and functional requirements for change initiatives across FSBU.
    • Produce impact assessments covering operational, financial, regulatory, customer and system considerations.
    • Support business case development through quantified cost, benefit and risk analysis.
    • Translate analysis into structured documentation to support governance, decision-making and delivery.
    • Support implementation planning to ensure changes are operationally viable and aligned to risk appetite.
    • Define and execute User Acceptance Testing (UAT) against agreed requirements.
    • Manage defect identification, prioritisation and resolution with Technology and Operations teams.
    • Conduct post-implementation validation to confirm outcomes and realised benefits.
  • Systems & Data Architecture Analysis
    • Analyse systems supporting the Collections & Recoveries lifecycle to assess functional effectiveness, control robustness, automation potential and data integrity.
    • Identify system-driven inefficiencies, manual workarounds and integration gaps.
    • Support system configuration changes, workflow optimisation and transformation initiatives.
    • Ensure system changes are underpinned by clear data definitions, reporting logic and control frameworks.
  • Data Analysis for Change & Optimisation
    • Perform structured analysis of operational and portfolio data to inform change initiatives.
    • Assess financial, operational and customer impacts of system or process changes.
    • Conduct scenario and impact modelling to support decision-making.
    • Validate assumptions within business cases using quantitative analysis.
    • Perform post-implementation analysis to confirm outcomes and identify residual risks or optimisation opportunities.
  • Debt Sale & Strategic Support
    • Support the preparation and execution of Debt Sale activity, including analysis of portfolio data, process readiness, system impacts and operational change requirements.
    • Produce analysis and insight to support strategic or system transformation, efficiency delivery and Debt Sale execution, ensuring outputs are clear, evidence-based and actionable.
    • Communicate findings and recommendations effectively to stakeholders, producing robust analysis, documentation and delivery artefacts to support execution.

What we’re looking for:

  • Proven experience working in a business analyst, change or continuous improvement role within a regulated financial services environment.
  • Experience analysing and documenting business processes, requirements and impacts, ideally within Collections, Recoveries or Financial Support.
  • Practical experience supporting the delivery of change initiatives, including impact assessments, risk assessments and business case support.
  • Experience supporting system change or enhancement activity, working with Technology teams and/or third-party suppliers.
  • Experience planning and executing User Acceptance Testing (UAT), including defect identification and resolution.
  • Strong analytical skills, with the ability to interpret data and translate it into clear insight and recommendations.
  • Experience working with multiple stakeholders across operational, technical and change functions.
  • Strong written and verbal communication skills, with the ability to produce clear documentation and present findings to stakeholders.
  • Good understanding of operational risk, controls and regulatory considerations within a financial services environment.
  • Ability to manage multiple workstreams and priorities effectively in a delivery-focused role.

Qualifications

  • Professional qualification or certification in Business Analysis (e.g. BCS Business Analysis, IIBA) is desirable.

We have a range of benefits available which include:

  • Competitive salary dependent on experience
  • 27 days holiday per annum, plus bank holidays
  • Annual bonus based on personal and company performance
  • Private medical cover
  • £500 flexible benefit allowance
  • Generous pension contributions
  • Employee assistance programme
  • Sharesave scheme
  • Gym passes at a reduced rate for 3,000 gyms, leisure centres etc.

Inclusion

At Santander we’re creating a thriving workplace where all colleagues feel they belong and are supported to succeed. We all help to make Santander a workplace that celebrates diversity and attracts, retains and develops the most talented and committed people through living our values of Simple, Personal, and Fair. At Santander Consumer Finance we have a zero-tolerance approach to discrimination, bullying, harassment (including sexual) or victimisation of any kind. Should you want to be considered for part time hours, please let us know and we can assess your requirements.

What are the next steps:

If you are interested in this role and believe you have the skills, experience, and knowledge then we’d love to hear from you. Please go ahead and click apply which will take you through some questions and allow you to submit your CV and covering letter.

Business and Data Analyst in Redhill employer: Santander Consumer (UK) plc

Santander Consumer (UK) plc is an excellent employer, offering a dynamic work environment in Redhill that prioritises compliance and regulatory excellence. With a strong focus on employee growth, you will have access to professional development opportunities and a supportive culture that values collaboration and innovation. The hybrid work model allows for flexibility while ensuring you remain engaged with your team, making it a rewarding place to advance your career in compliance.

Santander Consumer (UK) plc

Contact Details:

Santander Consumer (UK) plc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Business and Data Analyst in Redhill

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We think you need these skills to ace Business and Data Analyst in Redhill

Business Analysis
Data Analysis
Collections & Recoveries
Process Optimisation
Operational Improvement
Impact Assessment
User Acceptance Testing (UAT)

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Santander Consumer (UK) plc, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Santander Consumer (UK) plc

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

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Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

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