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- Tasks: Drive business analysis for retail data projects and improve processes across the business.
- Company: Join Cognizant, a leading tech company with a vibrant culture and global presence.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make an impact in retail analytics while working with top UK brands.
- Qualifications: Experience in data analysis, SQL, and familiarity with BI tools.
The predicted salary is between 40000 - 50000 £ per year.
The Company Cognizant (NASDAQ:CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 340,000 employees as of January 2025.
RCGH Consulting (Retail, Consumer Goods & Hospitality) Cognizant's RCGH Consulting unit is seeking talented consultants with extensive domain experience coupled with consultative experience of executing large scale business change and IT solutions in the RCGH industries. The role provides an opportunity to join a rapidly growing, high‐energy and entrepreneurial team working with leading UK brand names.
Job Description Drive business analysis efforts across retail data and analytics projects including current state assessments, business use case development, requirements gathering, and solution design. Ensure alignment with retail operations, merchandising, supply chain and customer experience strategies.
- Lead and drive Business Analysis across workstreams to drive and support the execution of retail and consumer goods initiatives for our customers.
- Improving processes across the business by identifying and implementing logistical practices.
- Engage with business stakeholders and conduct workshops for requirement elicitation.
- Map business processes and user journeys, developing business domain models and associated documentation – Business process modelling, Process flow modelling, Data flow modelling, Stakeholder analysis.
- Create the business requirements document including non‐functional requirements.
- Create Process Maps (L1 L2 L3 L4) and undertake gap analysis.
- Document BRDs, FSDs, NFRs and RTMs.
- Support internal and external delivery teams with project planning, functional and non‐functional requirements, testing, reporting, implementation and post‐implementation activities.
- Support and facilitate the test team and business teams during business process validation.
- Support end users in adopting functional changes (e.g., training documentation, implementation support).
- Contribute to research design and writing of articles/whitepapers and participate as a team member in collateral development.
Retail‐Focused Strategy Development: Support the creation of data strategies tailored to retail environments focusing on improving customer insights, inventory optimisation and sales performance.
Data Domain Expertise & Technical Analysis Data Quality & Governance Champion data integrity across retail systems (e.g., POS, CRM, ERP). Identify and resolve data quality issues, ensuring consistency and reliability for reporting and analytics.
Technical Proficiency Utilise SQL and other data tools to analyse large datasets, validate business requirements, and support the development of dashboards and reports. Collaborate with data engineering and architecture teams to ensure scalable solutions.
Retail Data Understanding Act as a subject matter expert on retail data flows, including customer transactions, product hierarchies, and promotional data. Ensure business requirements are technically feasible and aligned with strategic goals.
Insight Accessibility – Design frameworks to measure the impact of analytics solutions on retail KPIs (e.g., conversion rates, basket size, footfall). Improve discoverability of data assets through documentation and metadata management.
Tools & Methodologies Experience with BI tools (e.g., Power BI, Tableau), data modelling techniques, and agile delivery frameworks. Familiarity with cloud data platforms (e.g., Azure, GCP, Snowflake) and metadata management tools.
Data Analyst – Retail, Consumer Goods & Hospitality in Bradford employer: Cognizant
Contact Detail:
Cognizant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Retail, Consumer Goods & Hospitality in Bradford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their products and services, especially in retail and consumer goods. This will help us tailor your answers and show you're genuinely interested.
✨Tip Number 3
Practice common interview questions and scenarios related to data analysis. We can even do mock interviews together to boost your confidence and refine your responses.
✨Tip Number 4
Apply through our website for the best chance at landing that Data Analyst role. It shows you're serious about joining us and makes it easier for recruiters to find your application!
We think you need these skills to ace Data Analyst – Retail, Consumer Goods & Hospitality in Bradford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience in retail, consumer goods, and hospitality, and showcase any relevant projects or skills that align with the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit for our team at Cognizant. Keep it engaging and personal.
Showcase Your Technical Skills: Don’t forget to highlight your technical proficiency! Mention your experience with SQL, BI tools like Power BI or Tableau, and any cloud platforms you've worked with. We want to see how you can leverage these skills in the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Cognizant
✨Know Your Data
Make sure you brush up on your knowledge of retail data flows and analytics. Be prepared to discuss how you've used SQL or BI tools like Power BI or Tableau in past projects. Showing that you can translate data into actionable insights will impress the interviewers.
✨Understand the Business
Familiarise yourself with the retail, consumer goods, and hospitality sectors. Research Cognizant's recent projects or initiatives in these areas. This will help you demonstrate your understanding of their business needs and how you can contribute to their goals.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to business analysis or data integrity. Practice articulating your thought process clearly and logically. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Showcase Your Collaboration Skills
Since the role involves engaging with various stakeholders, be ready to discuss your experience working in teams. Highlight any workshops or collaborative projects you've led or participated in, and how you facilitated communication between technical and non-technical teams.