Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.reports to BA Manager, Data Operationskey stakeholders RSR Leadership, Regional Managing Directors, VPs, operational account leaders, wider EDAO, client stakeholders, and internal functions such as SIMSguiding principleTo serve as the primary interpreter and translator between the business needs and the data development teams, ensuring that data solutions are aligned with strategic objectives and deliver measurable business value.job context & purposeThis role is the key liaison between the business and the Global Data Operations Teams. The Business Analyst is responsible for understanding complex business requirements, partnering with cross-functional teams, and providing actionable business solutions through data. The focus is on identifying the necessary data and optimising its presentation, effectively bridging the gap between stakeholders and developers. This position has operational and technical responsibility for requirements gathering and documentation.responsibilitiesStakeholder Alignment & Requirement Translation: Create relationships with business stakeholders to deeply understand their analytical needs and strategic objectives. Effectively translate complex business requirements into prioritised technical specifications that guide both interim report creation and the final data product development by the Global Data Operations team. Capture requirements as user stories and acceptance criteria in the product backlog, ensuring clarity and alignment with business objectives.Data Solution Prototyping & Strategy: Discover and trial innovative analytical solutions and data models to meet strategic business needs. Use these successful prototypes to define and document the precise technical specifications that will be scaled into high-impact data products by the Global Data Operations/Development team.Source Data Acquisition & Field Specification: Own the integrity of the data input by either creating the initial source reports directly or by working with third-party providers to specify and secure all required data fields. This ensures the data model has the necessary components to support internal needs and custom client requirements, and subsequent analytical trialling.Domain Expertise & System Leverage: Maintain a deep functional and technical understanding of systems e.g. Vendor Management Systems (VMS) and/or Applicant Tracking Systems (ATS). Strategically leverage data from these systems to inform, build, and enhance analytical data models and custom client dashboards.Validation & Compliance: Perform User Acceptance Testing (UAT) to ensure final products meet requirements. Review and ensure adherence to all contractual conditions around reporting, financial elements, SLAs, and KPIs.Process Improvement & Support: Drive continuous process improvement and leverage an agile work environment to incorporate innovative and value-added components. Act as a subject matter expert on business processes and data to assess operational realities and validate solution requirements.Ad-Hoc Requests: Respond to ad-hoc reporting and new requests via ServiceNow/Jira/FreshService.Solution Ownership: Act as the solution owner for all tactical and interim reporting artifacts, ensuring accuracy and business continuity until the full development lifecycle is complete and the solution is released as a formal data [product].profileThe ideal candidate is a highly analytical and meticulous communicator with a background in data science or business intelligence. They must possess the ability to turn ambiguous information and unstructured challenges into clear insights, plans, and recommendations. This role requires a strong drive, commitment to outstanding results, and the skill to leverage analytics for driving value and achieving client initiatives.job requirementsMandatory Experience (4-5 years)4-5 years of experience in a similar Business Analyst or Business Intelligence role.Essential background in Business Intelligence, Data Science, or Analytics.Experience with Project Management and/or process improvement.Experience in Talent Acquisition/MSP/RPO/People Analytics.Proficiency with Data Analytics Tools (e.g., Domo, Tableau, PowerBI).Knowledge of general database functions, data storage, data models, SQL, and data transfer protocols; ability to write intermediate SQL scripts.Deep understanding of the recruitment industry (e.g., MSP/RPO) and technologies (ATS/VMS).Preferred ExperienceExperience with Domo and GCP (Google Cloud Platform).Knowledge, Skills, and AbilitiesExcellent communication and facilitation skills for various organizational levels.Exceptional problem-solving and analytical skills with a structured approach to work.Demonstrated ability to prioritize, manage multiple projects, and meet deadlines while maintaining quality.Demonstrated continuous improvement, process documentation, and workflow skills.Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you.
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Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change.At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.reports to BA Manager, Data Operationskey stakeholders RSR Leadership, Regional Managing Directors, VPs, operational account leaders, wider EDAO, client stakeholders, and internal functions such as SIMSguiding principleTo serve as the primary interpreter and translator between the business needs and the data development teams, ensuring that data solutions are aligned with strategic objectives and deliver measurable business value.job context & purposeThis role is the key liaison between the business and the Global Data Operations Teams. The Business Analyst is responsible for understanding complex business requirements, partnering with cross-functional teams, and providing actionable business solutions through data. The focus is on identifying the necessary data and optimising its presentation, effectively bridging the gap between stakeholders and developers. This position has operational and technical responsibility for requirements gathering and documentation.responsibilitiesStakeholder Alignment & Requirement Translation: Create relationships with business stakeholders to deeply understand their analytical needs and strategic objectives. Effectively translate complex business requirements into prioritised technical specifications that guide both interim report creation and the final data product development by the Global Data Operations team. Capture requirements as user stories and acceptance criteria in the product backlog, ensuring clarity and alignment with business objectives.Data Solution Prototyping & Strategy: Discover and trial innovative analytical solutions and data models to meet strategic business needs. Use these successful prototypes to define and document the precise technical specifications that will be scaled into high-impact data products by the Global Data Operations/Development team.Source Data Acquisition & Field Specification: Own the integrity of the data input by either creating the initial source reports directly or by working with third-party providers to specify and secure all required data fields. This ensures the data model has the necessary components to support internal needs and custom client requirements, and subsequent analytical trialling.Domain Expertise & System Leverage: Maintain a deep functional and technical understanding of systems e.g. Vendor Management Systems (VMS) and/or Applicant Tracking Systems (ATS). Strategically leverage data from these systems to inform, build, and enhance analytical data models and custom client dashboards.Validation & Compliance: Perform User Acceptance Testing (UAT) to ensure final products meet requirements. Review and ensure adherence to all contractual conditions around reporting, financial elements, SLAs, and KPIs.Process Improvement & Support: Drive continuous process improvement and leverage an agile work environment to incorporate innovative and value-added components. Act as a subject matter expert on business processes and data to assess operational realities and validate solution requirements.Ad-Hoc Requests: Respond to ad-hoc reporting and new requests via ServiceNow/Jira/FreshService.Solution Ownership: Act as the solution owner for all tactical and interim reporting artifacts, ensuring accuracy and business continuity until the full development lifecycle is complete and the solution is released as a formal data [product].profileThe ideal candidate is a highly analytical and meticulous communicator with a background in data science or business intelligence. They must possess the ability to turn ambiguous information and unstructured challenges into clear insights, plans, and recommendations. This role requires a strong drive, commitment to outstanding results, and the skill to leverage analytics for driving value and achieving client initiatives.job requirementsMandatory Experience (4-5 years)4-5 years of experience in a similar Business Analyst or Business Intelligence role.Essential background in Business Intelligence, Data Science, or Analytics.Experience with Project Management and/or process improvement.Experience in Talent Acquisition/MSP/RPO/People Analytics.Proficiency with Data Analytics Tools (e.g., Domo, Tableau, PowerBI).Knowledge of general database functions, data storage, data models, SQL, and data transfer protocols; ability to write intermediate SQL scripts.Deep understanding of the recruitment industry (e.g., MSP/RPO) and technologies (ATS/VMS).Preferred ExperienceExperience with Domo and GCP (Google Cloud Platform).Knowledge, Skills, and AbilitiesExcellent communication and facilitation skills for various organizational levels.Exceptional problem-solving and analytical skills with a structured approach to work.Demonstrated ability to prioritize, manage multiple projects, and meet deadlines while maintaining quality.Demonstrated continuous improvement, process documentation, and workflow skills.Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you.
