At a Glance
- Tasks: Lead business analysis for data transformation and manage product delivery in an Agile environment.
- Company: Coforge, a dynamic tech company based in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a vibrant team and enhance your skills in a fast-paced environment.
- Why this job: Make a real impact on cloud migration projects while collaborating with diverse teams.
- Qualifications: 8-12 years in business analysis or product ownership, with strong Agile experience.
The predicted salary is between 63000 - 77000 £ per year.
We at Coforge are looking for Lead Data Business Analyst in London, UK.
Key Responsibilities
- Business Analysis & Requirements Management
- Lead business analysis activities across the enterprise data platform transformation programme.
- Elicit, analyse, validate and document business, functional and non-functional requirements.
- Facilitate discovery workshops, stakeholder interviews and process mapping sessions.
- Analyse current-state ("As-Is") processes and define future-state ("To-Be") operating models.
- Translate business objectives into detailed user stories, acceptance criteria and epics.
- Ensure complete requirements traceability from business objectives through to delivery and testing.
- Support solution validation and ensure delivered capabilities meet business expectations.
- Product Ownership & Agile Delivery
- Act as Product Owner for one or more delivery teams, managing the product backlog and sprint priorities.
- Define and communicate product vision, roadmap and release priorities.
- Work closely with Scrum Masters and Engineering Leads to ensure delivery aligns with business value.
- Prioritise features based on business outcomes, dependencies and programme objectives.
- Support sprint planning, backlog refinement, sprint reviews and release planning.
- Drive adoption of Agile best practices across business and technology teams.
- Play a leading role in the successful delivery of complex enterprise cloud and data migration programmes.
- Coordinate business readiness activities across multiple workstreams.
- Support migration planning, cutover activities and transition to business-as-usual operations.
- Identify risks, dependencies and issues, ensuring timely resolution and escalation where required.
- Collaborate with architects and engineering teams to ensure business requirements are accurately reflected in the target solution.
- Support data validation, user acceptance testing (UAT) and post-migration verification activities.
- Stakeholder Management & Client Engagement
- This is a highly visible client-facing role requiring exceptional communication and stakeholder management skills.
Responsibilities include
- Build trusted relationships with senior client stakeholders across business and technology functions.
- Act as the primary interface between Client's London-based stakeholders and offshore delivery teams.
- Facilitate workshops, steering meetings and decision-making sessions.
- Communicate complex technical concepts in clear business language.
- Manage stakeholder expectations, negotiate priorities and drive consensus across diverse teams.
- Provide regular progress updates, risk assessments and delivery insights to programme leadership.
- Ensure effective collaboration between client teams, architects, engineers, testers and project management.
- Technical Collaboration
- Work closely with Solution Architects, Data Architects, Platform Architects and Engineering Leads to shape solution design.
- Develop a strong understanding of the GCP cloud data platform, migration approach and operating model.
- Review solution designs to ensure alignment with business requirements.
- Support definition of non-functional requirements including security, governance, resilience, performance and operational readiness.
- Ensure architecture decisions remain aligned with business priorities.
- Documentation & Governance
Produce and maintain high-quality programme documentation including
- Business Requirements Documents (BRDs)
- Functional Requirements Specifications (FRSs)
- User Stories and Acceptance Criteria
- Process Maps
- Use Cases
- Product Roadmaps
- Required Skills & Experience
8–12 years of Business Analysis and/or Product Ownership experience delivering complex technology transformation programmes.
- Proven experience leading business analysis activities on large-scale cloud migration, data migration or digital transformation programmes .
- Strong experience acting as a Product Owner within Agile delivery environments.
- Demonstrated experience working with distributed delivery teams across onsite and offshore locations.
- Excellent stakeholder management skills with the ability to influence senior business and technical stakeholders.
- Proven experience facilitating workshops, requirements gathering sessions and design discussions.
- Strong experience writing user stories, acceptance criteria and maintaining prioritised Agile backlogs.
- Experience defining functional and non-functional requirements including security, governance, operational readiness and performance.
- Strong analytical and problem-solving capabilities.
- Experience supporting User Acceptance Testing (UAT), business readiness and migration validation.
- Excellent written documentation and presentation skills.
- Outstanding verbal communication and interpersonal skills.
- Experience using Jira, Confluence and Agile delivery tools.
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Lead Data Business Analyst employer: Coforge
Coforge is an exceptional employer that fosters a collaborative and innovative work culture in Basildon, UK. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge reporting solutions. Our commitment to data quality and stakeholder collaboration ensures that every team member plays a vital role in delivering impactful results.
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We think this is how you could land Lead Data Business Analyst
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We think you need these skills to ace Lead Data Business Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
