National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

Reward
Belfast
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Description

You’ll be an enthusiastic database professional with an ability to write and read good-quality SQL code. 

You will work with a multitude of business stakeholders, both technical and non-technical, to scope and build data solutions and exports. This will include database table design, stored procedure design, code review, documentation, progress reports and peer support. You will develop quality assurance (QA) processes and provide a range of regular and ad hoc deliverables to support the business needs and operations. 

You will be able to propose and implement improvements to the existing processes to support the wider business strategy and help shape the future of our data products. 

You’ll have the ability to respond and adapt to a fast-paced working environment and be able to maintain a logical and systematic approach to the solution design of database tasks and projects. 


Key Responsibilities

  • Assess, design, implement and document robust procedures for managing the integrity of data flows 
  • Assist in the development of Reward’s data warehouses to allow access to an ever-growing pool of data in an efficient and scalable manner  
  • Seek practical solutions to reduce time and cost through automation of operational procedures 
  • Carry out systematic data cleansing and enhancement exercises   
  • Undertake regular and ad hoc activities including data provision, report development and exploratory data analysis 
  • Understand and operate the end-to-end campaign selections process, and suggest and implement improvements 
  • Deliver reporting and data extracts to analyse the effectiveness of retailer campaigns 


Skills Knowledge and Expertise

Required 
  • Ability to read and write Structured Query Language (SQL)  
  • Basic understanding of Object orientated languages (preferably Python) 
  • Understanding of logical relational database concepts (e.g. including data types, joins, sub queries, primary and foreign keys, normalisation).  
  • Ability to translate requirements sourced from non-technical clients into effective technical specifications  
  • Ability to produce process documentation that is logically structured and accurate 
  • Experience of working with common data file formats (e.g. csv, fixed width), importing and exporting data, compression, encryption software (e.g. WinZip) and FTP clients. 
  • High attention to detail 
 
Bonus points for any of the following:  
  • Hands on experience of working with a significant size database 
  • Experience of Microsoft SQL Server (2012 or higher) 
  • Experience of Microsoft SQL Server (2012 or higher) Reporting Services and / or Integration Services 
  • Experience of using a BI reporting tool (Tableau, PowerBI, Qlikview) to create dashboards and reports 
  • Experience using a cloud provider (AWS, Google Cloud, Azure) 
  • Advanced knowledge of MS Excel including complex formulae, advanced charting, lookups, PowerPivot and VBA 
  • Business process concepts including, for example, data flows, batch control, validation rules, exception reporting, audit trail and reconciliation 
  • Domain expertise in any of the following: retail, personal banking, direct marketing, digital marketing, CRM, loyalty programmes 
  • Educated to degree level in a quantitative subject 


Benefits

  • Annual Leave: 25 days + bank holidays
  • Ability to buy and sell holiday days as well as the ability to bank days (tenure dependent) 
  • Flexible working options: we are operating a hybrid working model with 3 days a week from the office
  • Pension: Hargreaves Lansdown – 6% matched contribution 
  • Employee share scheme
  • Generous family friendly cover
  • Private healthcare - Bupa 
  • Income protection
  • Critical illness cover
  • Life insurance cover
  • Dental cover
  • Optical cover
  • Yulife app for access to employee wellbeing and discounts 
  • Perks at Work, cashback/discount shopping site
  • Employee referral scheme 
  • Salary sacrifice program which includes cycle to work scheme, electric car scheme and season ticket loans
  • Volunteering program
  • Company events i.e. Christmas party, all-company event and other social/hosted events during the year (we have an active social committee!)
  • Team socials
Our vision is to be a global leader in customer engagement, helping brands to create customers of the future. How do we achieve this? By making everyday spending more rewarding, we make every interaction count, delivering billions in rewards. 
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.