Junior Business & Data Analyst
Securitas
| Company | Securitas |
| Category | Data & Analytics |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Entry |
| Salary | Not stated by the employer |
| Posted | 9 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (teamtailor) |
Description
Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. About the role The Junior Business & Data Analyst supports the Data Transformation Program by helping Data Domain Owners, Data Sponsors and Data Domain Stewards understand, assess and improve data quality and consistency across systems, platforms, business processes and data domains. The role provides hands-on business and data analysis to identify data issues, support root-cause analysis, document requirements, and contribute to practical remediation and prevention actions. The role initially focuses on the alignment of client-related data points across a complex system landscape, including 40+ Workforce Management systems, the central CRM platform and approximately 60 ERP applications. This requires the analyst to compare, map and validate client data across local, divisional and global applications, identify inconsistencies, document root causes and support practical remediation and prevention actions. While the initial assignment is client-data focused, the role is expected to remain flexible and move across domains, systems, applications and business processes as required by the Data Transformation Program. This may include domains such as Client, People, Finance, Contracts, Suppliers, Products & Services and Operational Events; processes such as lead-to-cash, hire-to-retire and procure-to-pay; and systems or platforms such as CRM, ERP, Workforce Management, HRIS, Learning Management, Microsoft Azure, Databricks, Microsoft Dynamics NAV / Business Central and other relevant local, divisional or global applications. We are looking for a motivated self-starter who is curious, proactive and comfortable working with modern tools and techniques. The successful candidate should be willing to explore and apply automation, robotic process automation, AI-assisted analysis and other emerging capabilities to reduce manual effort, improve data quality and accelerate insight generation. Responsibilities Business and Data Analysis Support the analysis of data quality, completeness, consistency and usability across source systems, data platforms and reporting layers. For the initial project, compare and align client-related data points across 40+ Workforce Management systems, the central CRM platform and approximately 60 ERP applications. Assist in documenting end-to-end data flows, business processes, CRUD activities and handovers between business and IT teams. Map data elements across systems to identify mismatches, missing values, duplicates, inconsistent definitions and recurring defects. Prepare clear analysis outputs, issue summaries and supporting evidence for Data Domain Owners, Sponsors and Stewards. Data Quality Improvement and Root-Cause Support Support root-cause analysis for recurring data quality issues and help distinguish between data correction needs, process gaps, system limitations, integration issues and training needs. Help define and track remediation actions with local, divisional and global stakeholders. Support the preparation of data quality dashboards, scorecards, issue logs and