Mid Level and Senior Business Analyst

IntaPeople

Greater London

Hybrid

GBP 83,000 - 115,000

Full time

5 days ago
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Job summary

IntaPeople is seeking Senior and Mid-Level Business Analysts to support major data transformation programmes in a data-intensive organisation. Roles involve data transformation, migration, reference data, data ingestion and process redesign across business and technical teams.

You will analyse and deliver significant data transformation initiatives, moving from legacy processes toward streamlined operating models, with use of data ingestion, migration and automation strategies.

Qualifications

  • Proven BA experience in data or technology transformation programmes.
  • Strong requirements elicitation and documentation skills.
  • Experience with data migration or transformation initiatives.
  • Excellent stakeholder management across business and tech teams.

Responsibilities

  • Lead or support discovery and requirements-gathering activities.
  • Document current and future-state business processes.
  • Facilitate workshops with business, product, data, engineering and operational teams.
  • Capture business, functional and migration requirements.
  • Develop process maps, user stories and acceptance criteria.
  • Analyse existing data processes and identify opportunities for improvement and automation.
  • Understand dataset dependencies and upstream/downstream impacts.
  • Support data migration planning and execution.
  • Develop and maintain programme documentation, actions, decisions and dependencies.
  • Support testing, validation and business readiness.
  • Work with delivery teams and stakeholders to resolve issues and maintain progress.
  • Support the development of future-state operating models and ways of working.
  • For Senior level, provide more strategic input, challenge existing approaches and help drive decisions across the programme

Skills

Requirements gathering
Process modelling
Stakeholder management
Workshops facilitation
User stories
Data understanding
Communication skills
Ambiguity handling

Job description

Business Analyst - Data Transformation

Senior & Mid-Level Opportunities | 12-Month Contract | Hybrid (2 days p/week in London office)

We’re looking for experienced Business Analysts to support major data transformation programmes within a large, data-intensive organisation.

There are opportunities at Senior and Mid-Level, working across programmes involving data transformation, migration, reference data, data ingestion and process redesign.

The roles will suit Business Analysts who are comfortable working across both business and technical teams, turning complex requirements into clear processes, requirements and delivery plans.

The Role

You’ll be involved in the analysis and delivery of significant data transformation initiatives, helping to move away from legacy processes and datasets towards more streamlined, scalable ways of working.

Depending on your experience, this could include work around reference data transformation, data ingestion, migration, workflow automation and the development of future-state operating models.

Key responsibilities
  • Lead or support discovery and requirements-gathering activities
  • Document current and future-state business processes
  • Facilitate workshops with business, product, data, engineering and operational teams
  • Capture business, functional and migration requirements
  • Develop process maps, user stories and acceptance criteria
  • Analyse existing data processes and identify opportunities for improvement and automation
  • Understand dataset dependencies and upstream/downstream impacts
  • Support data migration planning and execution
  • Develop and maintain programme documentation, actions, decisions and dependencies
  • Support testing, validation and business readiness
  • Work with delivery teams and stakeholders to resolve issues and maintain progress
  • Support the development of future-state operating models and ways of working
  • For Senior level, provide more strategic input, challenge existing approaches and help drive decisions across the programme
Essential experience
  • Proven Business Analyst experience within complex data or technology transformation programmes
  • Strong requirements elicitation and documentation skills
  • Business process modelling and workflow design
  • Experience supporting data migration or transformation programmes
  • Strong stakeholder management across business and technical teams
  • Workshop facilitation and requirements analysis
  • Experience producing user stories, process maps and supporting documentation
  • Good understanding of data management and data flows
  • Ability to manage dependencies and work across multiple teams
  • Strong communication skills, with the ability to explain complex issues clearly
  • Comfortable working with evolving requirements and a degree of ambiguity
Desirable experience
  • Experience in one or more of the following would be useful:
  • Reference Data or Master Data Management
  • Data ingestion, ETL or data pipeline programmes
  • Data governance and metadata management
  • Enterprise data platforms
  • CMS implementation
  • Data quality initiatives
  • Workflow automation
  • Operating model design
  • Lean/process improvement
  • Product operating models
  • Data-intensive or complex technology environments
Senior Business Analyst

For the Senior positions, we’re looking for someone who can take ownership of discovery and transformation activity, work with senior stakeholders and help shape the future operating model and delivery approach.

You’ll need to be comfortable challenging assumptions, dealing with ambiguity and turning complex problems into clear, practical plans.

Contract details
  • Contract: 12 months
  • Start: ASAP
  • Working pattern: Hybrid, minimum 2 days per week in the London office
  • Hours: 35 hours per week
  • Senior rate: £625 per day
  • Mid-level rate: £450 per day
  • Interview: Single-stage, 60-minute interview

These are high-profile transformation programmes with a significant focus on improving how data is managed, processed and migrated across the organisation

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