At a Glance
- Tasks: Support PR Complaints Reconciliation and transition into broader analytical support.
- Company: Join Deloitte, a global leader in consulting and advisory services.
- Benefits: Competitive pay, hybrid working model, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on excellence and career advancement.
- Why this job: Make an impact with a Tier 1 Banking client while developing your data skills.
- Qualifications: Proficiency in Python, SQL, and experience in data reconciliation.
The predicted salary is between 40000 - 50000 € per year.
Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax, and related services. With a global network of member firms in more than 150 countries and territories, we serve four out of five Fortune Global 500 companies. Our professionals are committed to making an impact that matters, delivering excellence in a challenging and dynamic environment. This is an exciting opportunity to support Deloitte Operations and work with a leading Tier 1 Banking client and support their better ways of working.
Role Overview
Support the execution of the PR Complaints Reconciliation across Phases 2 and 3 - working under the direction of the Senior Reconciliation Lead (internal) - and to transition into broader MIPR analytical support post-reconciliation.
Technical Skills Required
- Python (pandas, NumPy) – essential; this role will be executing reconciliation scripts, running triage categorisation logic, and managing structured data outputs across large file sets
- SQL – essential; querying and cross-referencing multiple data sources to validate match results and identify exceptions
- Data reconciliation experience – direct experience of large-scale data matching exercises; comfortable working with messy, incomplete, or inconsistently formatted input files
- Schema validation – ability to validate incoming data files against a defined schema and produce structured quality scoring outputs
- Excel – advanced; action pack generation, exception tracking, and resolution logging across a large and evolving case population
- Salesforce data familiarity – beneficial; Phase 2 and 3 involve data modification governance against live Salesforce records
- Audit and documentation discipline – able to maintain a clear, version-controlled record of all data modifications, match decisions, and triage outcomes to support governance and sign-off
Data Analyst – PR Reconciliation in Colchester employer: Deloitte - Recruitment
Deloitte is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, you will have access to extensive training and development opportunities while working in a hybrid model from either Essex or Manchester. Join us to make a meaningful impact with a leading Tier 1 Banking client, all while enjoying competitive rates and the chance to be part of a global network dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst – PR Reconciliation in Colchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Deloitte or similar firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Brush up on your Python and SQL skills, and be ready to showcase your experience with data reconciliation. We want you to shine!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website for the best chance at landing that Data Analyst gig! We’re all about making the process smooth and straightforward, so don’t miss out on the opportunity to join us.
We think you need these skills to ace Data Analyst – PR Reconciliation in Colchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Python, SQL, and data reconciliation. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background makes you a perfect fit. Keep it concise but impactful.
Showcase Relevant Experience:When filling out your application, focus on showcasing your relevant experience with large-scale data matching and schema validation. We love seeing real examples of your work!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Deloitte - Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially with pandas and NumPy. Be ready to discuss how you've used these tools in past projects, particularly for data reconciliation tasks. Practising some SQL queries beforehand will also help you feel more confident when discussing how to validate match results.
✨Showcase Your Data Experience
Prepare examples of your experience with large-scale data matching exercises. Think about specific challenges you faced with messy or incomplete data and how you overcame them. This will demonstrate your problem-solving skills and your ability to work with complex datasets.
✨Understand the Role's Context
Familiarise yourself with Deloitte's operations and their Tier 1 Banking client. Knowing how your role as a Data Analyst fits into their broader goals will show that you're genuinely interested and invested in the position. It’s all about making an impact that matters!
✨Be Ready for Scenario Questions
Expect questions that put you in hypothetical situations related to data reconciliation and schema validation. Practise articulating your thought process clearly and logically. This will help interviewers see how you approach problems and make decisions under pressure.
