Retail Data Business Analyst β€” Insights & Strategy in Leeds

Retail Data Business Analyst β€” Insights & Strategy in Leeds

Leeds Full-Time 45000 - 55000 Β£ / year (est.) No working from home possible
Cognizant Technology Solutions

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, diverse work environment, and growth opportunities.
  • Other info: Dynamic team with a focus on innovation and career development.
  • 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 like SQL.

The predicted salary is between 45000 - 55000 Β£ 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 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.
  • 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.
  • 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.
  • 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.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, colour, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Retail Data Business Analyst β€” Insights & Strategy in Leeds employer: Cognizant Technology Solutions

Cognizant is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the retail data analytics space. Employees benefit from extensive growth opportunities, working alongside leading UK brands while contributing to impactful projects that enhance customer insights and operational efficiency. With a commitment to diversity and inclusion, Cognizant ensures a supportive environment where every team member can thrive and make a meaningful impact.

Cognizant Technology Solutions

Contact Details:

Cognizant Technology Solutions Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Retail Data Business Analyst β€” Insights & Strategy 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 and have your own ready to show your interest.

✨Tip Number 3

Showcase your skills! Create a portfolio that highlights your experience with data analysis, business process modelling, and any relevant tools like SQL or Power BI. This will give you an edge and demonstrate your capabilities beyond just words.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Tailor your CV and cover letter to highlight your experience in retail data and analytics, and make sure to follow up after applying to express your enthusiasm.

We think you need these skills to ace Retail Data Business Analyst β€” Insights & Strategy in Leeds

Business Analysis
Requirements Gathering
Process Modelling
Stakeholder Engagement
Data Analysis
SQL
BI Tools (e.g., Power BI, Tableau)

Some tips for your application 🫑

Tailor Your CV:Make sure your CV is tailored to the Retail Data Business Analyst role. Highlight relevant experience in business analysis, data management, and any specific tools mentioned in the job description. 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 data and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!

Showcase Your Technical Skills:Don’t forget to highlight your technical proficiency, especially with SQL and BI tools like Power BI or Tableau. We’re keen on seeing how you can leverage these skills to drive insights and strategies in retail data.

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, it shows us that you’re proactive and really interested in joining our team!

How to prepare for a job interview at Cognizant Technology Solutions

✨Know Your Data

As a Retail Data Business Analyst, it's crucial to have a solid understanding of retail data flows. Brush up on customer transactions, product hierarchies, and promotional data before your interview. This will help you demonstrate your expertise and show that you're ready to tackle the challenges of the role.

✨Master the Tools

Familiarise yourself with BI tools like Power BI and Tableau, as well as cloud platforms such as Azure or GCP. Be prepared to discuss how you've used these tools in past projects. Showing your technical proficiency will give you an edge and prove that you can hit the ground running.

✨Engage with Stakeholders

Highlight your experience in engaging with business stakeholders and conducting workshops for requirement elicitation. Prepare examples of how you've successfully mapped business processes and user journeys. This will showcase your consultative skills and ability to drive business analysis effectively.

✨Showcase Your Problem-Solving Skills

Be ready to discuss specific instances where you've identified and implemented logistical practices to improve processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will illustrate your analytical mindset and your capability to contribute to Cognizant's retail initiatives.