Mid Level Business Analyst

Intapeople

Greater London

Hybrid

GBP 77,000 - 148,000

Part time

37 hours ago
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Job summary

Intapeople is seeking a Mid-Level Business Analyst for a 12-month contract in London. The role focuses on a major data transformation programme to consolidate reference datasets into a single platform and operating model.

You will define future-state processes, capture requirements and support migration from legacy datasets. You will work across Product, Data, Engineering and Operations, conducting workshops and creating user stories, with emphasis on data, process improvement and stakeholder

Qualifications

  • Solid BA experience in data transformation programmes.
  • Strong requirements gathering and documentation.
  • Experience with data models and data management.
  • Business process modelling and workflow design.
  • Experience supporting data migration projects.
  • User story creation and backlog management.
  • Strong workshop facilitation and stakeholder management.
  • Clear written and verbal communication.

Responsibilities

  • Document current and future-state processes.
  • Run workshops with business and technical stakeholders.
  • Gather and document business, functional and migration requirements.
  • Support the design of a new Reference Data operating model.
  • Map dataset dependencies and assess upstream/downstream impacts.
  • Develop migration plans and coordinate execution with delivery teams.
  • Create user stories, acceptance criteria and documentation.
  • Carry out process mapping, gap analysis and impact assessments.
  • Support testing, validation and business readiness.
  • Maintain alignment with stakeholders to keep delivery moving.

Skills

Business analysis
Data transformation
Stakeholder management
Requirements gathering
Process modelling
Workshop facilitation

Job description

Mid-Level Business Analyst | 12-Month Contract | Hybrid (2 days p/week in London office)

Reference Data Transformation Programme

The Role

We’re looking for a Mid-Level Business Analyst to join a major data transformation programme focused on consolidating multiple reference datasets into a single strategic platform and operating model.

You’ll work across Product, Data, Engineering and Operations teams, helping to define the future-state processes, capture requirements and support the migration away from multiple legacy datasets.

This is a hands-on BA role, with a strong focus on data, process improvement, migration and stakeholder engagement.

What you’ll be doing
  • Document current and future-state processes
  • Run workshops with business and technical stakeholders
  • Gather and document business, functional and migration requirements
  • Support the design of a new Reference Data operating model
  • Map dataset dependencies and assess upstream/downstream impacts
  • Develop migration plans and work with delivery teams to coordinate execution
  • Create user stories, acceptance criteria and supporting documentation
  • Carry out process mapping, gap analysis and impact assessments
  • Support testing, validation and business readiness
  • Work with stakeholders to maintain alignment and keep delivery moving
What we’re looking for
  • Solid Business Analyst experience within data transformation programmes
  • Strong requirements gathering and documentation skills
  • Experience working with data models and data management
  • Business process modelling and workflow design
  • Experience supporting data migration projects
  • User story creation and backlog management
  • Strong workshop facilitation and stakeholder management skills
  • Good written and verbal communication
  • Comfortable working across both technical and business teams
Useful experience

Experience in any of the following would be beneficial:

  • Reference Data or Master Data Management (MDM)
  • CMS implementation
  • Metadata management
  • Data governance
What you’ll help deliver

You will play a key role in helping the programme establish its future-state Reference Data model and operating processes, define migration waves and support the successful move from multiple legacy datasets to a single strategic solution

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