At a Glance
- Tasks: Drive business analysis for retail data projects and improve processes.
- Company: Join Cognizant, a leading tech company with a vibrant culture.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make an impact in retail analytics and work with top UK brands.
- Qualifications: Experience in business analysis and familiarity with data tools.
The predicted salary is between 45000 - 55000 £ 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 conducting 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.
- Creating the business requirements document including non-functional requirements.
- Creation of Process Maps (L1, L2, L3, L4) and undertaking gap analysis.
- Documentation of 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 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 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 Business Analyst - Retail in Leeds employer: Cognizant Technology Solutions
Cognizant is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the retail sector. Employees benefit from extensive growth opportunities, access to cutting-edge technology, and a culture that values diversity and inclusion. With a focus on professional development and a commitment to employee well-being, Cognizant stands out as a leading choice for those seeking meaningful careers in data analytics.
Contact Details:
Cognizant Technology Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Business Analyst - Retail in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the retail and data analytics space. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews! Research Cognizant and its RCGH Consulting unit thoroughly. Understand their projects and values, and think about how your skills can contribute to their goals. Practice common interview questions related to business analysis and data strategies.
✨Tip Number 3
Show off your skills! If you’ve worked with SQL, BI tools, or data modelling techniques, be ready to discuss specific examples. Consider creating a portfolio of your work or case studies that demonstrate your expertise in retail data analysis.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Tailor your CV and cover letter to highlight your experience in retail and data analytics, and make sure to showcase your passion for improving customer insights and sales performance.
We think you need these skills to ace Data Business Analyst - Retail in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Business Analyst role. Highlight relevant experience in retail data analysis, business process modelling, and any tools like SQL or BI software you've used. We want to see how your skills align with 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 passionate about retail analytics and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a case study or a personal project, showing us your hands-on experience with data analysis and business requirements will definitely catch our eye.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you'll find all the details you need about the role and our company there!
How to prepare for a job interview at Cognizant Technology Solutions
✨Know Your Data
Make sure you brush up on your knowledge of retail data flows, customer transactions, and product hierarchies. Being able to discuss these topics confidently will show that you understand the core of the role and can contribute effectively.
✨Master the Tools
Familiarise yourself with BI tools like Power BI or Tableau, as well as SQL for data analysis. If you can demonstrate your technical proficiency during the interview, it’ll give you a significant edge over other candidates.
✨Engage with Scenarios
Prepare to discuss real-world scenarios where you've improved processes or driven business analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Ask Insightful Questions
Show your interest in the company by preparing thoughtful questions about their retail strategies and data governance practices. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
