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For Companies At a Glance
- Tasks: Drive business analysis for retail data projects and improve processes.
- Company: Cognizant, a leading tech company with a vibrant culture.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the retail industry.
- Qualifications: Experience in data analysis and strong communication skills.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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.
Responsibilities
- Lead and drive Business Analysis across workstreams to support the execution of retail and consumer goods initiatives for our customers.
- Improve 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 optimization, and sales performance.
Data Domain Expertise & Technical Analysis
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
Utilize SQL and other data tools to analyze 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 Leeds 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 Leeds
✨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 you tailor your answers and show you're genuinely interested.
✨Tip Number 3
Practice your data analysis skills! Brush up on SQL and BI tools like Power BI or Tableau. Being able to demonstrate your technical proficiency during interviews can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Analyst – Retail, Consumer Goods & Hospitality in Leeds
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 Cognizant's RCGH Consulting unit.
Showcase Your Technical Skills: Don’t forget to mention your technical proficiency! Highlight your experience with SQL, BI tools like Power BI or Tableau, and any cloud platforms you've worked with. This will show us you’re ready to hit the ground running.
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 Inside Out
As a Data Analyst, it's crucial to have a solid grasp of retail data flows and analytics. Brush up on your knowledge of customer transactions, product hierarchies, and promotional data. Be ready to discuss how you've used SQL or BI tools like Power BI or Tableau in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've improved processes or resolved data quality issues in previous roles. Think about specific challenges you faced and how you implemented solutions that aligned with business goals. This will demonstrate your analytical mindset and ability to drive change.
✨Engage with Stakeholders
Cognizant values collaboration, so be prepared to talk about your experience engaging with business stakeholders. Share instances where you conducted workshops for requirement elicitation or mapped business processes. Highlight your communication skills and ability to translate technical jargon into layman's terms.
✨Be Ready for Technical Questions
Expect some technical questions during the interview. Brush up on your knowledge of data modelling techniques and cloud platforms like Azure or GCP. Familiarise yourself with the latest trends in data governance and integrity, as these are key aspects of the role.
