Data BA

SThree Plc
London, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Compensation
£65,000.0 - £72,800.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Data Analysis Microsoft Azure Business Process Model and Notation Cloud Computing Computer Programming Databases Continuous Integration Data Architecture Data Integration
+24 more
Extract Transform Load (ETL) Data Systems DevOps Distributed Systems Python (Programming Language) SAP ERP Power BI Standard Sql Data Streaming Systems Integration Technical Data Management Systems UML Enterprise Software Applications RISE with SAP Data Strategy Containerization Kubernetes Information Technology SAP S/4HANA Data Management Terraform Data Pipelines Docker Microservices

Job description

Please note the content of this advert does not represent a live vacancy.About the opportunityThis is an opportunity to register your interest in future Data Business Analyst roles, positions that could support organisations in bridging the gap between technical data capabilities and business outcomes. Roles of this type may sit within cross-functional teams working to understand, design and optimise data flows, pipelines and requirements across complex technical and business environments.What you would doTypical responsibilities could include:

  • Gathering and documenting data requirements from stakeholders across business and technical teams
  • Analysing data quality and identifying improvements to data pipelines and architectures
  • Aligning data solutions with business objectives and technical constraints
  • Collaborating with engineers, architects and product teams to scope data-driven initiatives
  • Creating clear specifications and documentation (BPMN, UML) for data workflows and requirements
  • Supporting the design and optimisation of data pipelines and data integration points
  • Engaging with stakeholders to understand current and future data needs
  • Contributing to the evaluation of data platforms, tools and infrastructure, What roles of this type could offerMost roles of this type offer the following, dependent on the industry and seniority of the role:
  • Exposure to modern data architectures and cloud technologies
  • Opportunity to develop deeper expertise across data strategy, analytics and technical integration
  • Potential to progress into senior data analysis, data architecture or product leadership roles
  • Exposure to diverse industries and complex technical challenges
  • Collaborative working environment with both technical and business teams
  • Flexible and hybrid working arrangements where available

Requirements

  • Strong experience in data requirements gathering and analysis
  • Understanding of data pipelines, data quality principles and data architecture concepts
  • Familiarity with at least one modern cloud platform (Azure, AWS or GCP)
  • Knowledge of APIs and microservices concepts and their role in data integration
  • Experience with databases and SQL
  • Proficiency in documentation methods such as BPMN and UML
  • Excellent stakeholder engagement and communication skills
  • Bachelor’s degree in Computer Science or related field
  • Ability to work across business analysis, technical design and data disciplines
  • Strong analytical and problem-solving capabilities

Nice-to-have experience could include:

  • Hands-on experience with data tools such as Power BI, data pipeline orchestration or ETL frameworks
  • Familiarity with containerisation (Docker, Kubernetes) or infrastructure-as-code (Terraform)
  • Experience working with enterprise systems such as SAP S/4HANA, SAP ECC or SAP RISE
  • Knowledge of CI/CD practices and DevOps concepts
  • Programming experience in languages such as Python, Java or similar
  • Understanding of distributed systems and modern data architectures

Benefits & conditions

  • Day Rate: £250-280 per day (entry to mid-level); £380-450 per day (senior positions) dependent on experience and location
  • Education: Bachelor’s degree in Computer Science or related discipline
  • Work Model: Hybrid and flexible arrangements available

Apply for this position

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