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 action plans.
Monitor progress against agreed data quality improvement activities and escalate risks or blockers where needed.
Requirements and Functional Specification Support
Stakeholder Coordination and Communication
Collaborate with local, divisional and global business teams across Sales, Account Management, People, Finance, Operations, Legal and other relevant functions.
Work closely with divisional and local IT teams, the Global Data Platform team, Data Governance and Enterprise Data Architecture.
Prepare meeting materials, analysis summaries and follow-up notes to support aligned decision-making.
Communicate data findings in a simple, structured and business-friendly way.
Data Governance and Documentation
Support documentation of data definitions, data standards, business rules, ownership and stewardship responsibilities.
Requirements
Strong analytical mindset with the ability to investigate data issues and identify patterns, inconsistencies and root causes across multiple systems.
Good understanding of business processes and interest in how data supports operational, financial and commercial decision-making.
Ability to work with unfamiliar systems and applications, quickly understand their data structures and translate findings into business language.
Ability to structure information clearly, document findings and communicate complex topics in simple terms.
Good collaboration skills and confidence working with stakeholders across business and IT.
Working knowledge of Excel and/or Power BI; familiarity with SQL, data platforms, ERP, CRM, Workforce Management, HRIS or MDM tools is an advantage.
Curiosity and practical interest in modern digital tools and techniques, including automation, robotic process automation and AI, to improve productivity and analysis quality.
Attention to detail and ability to work in a structured way across multiple tasks, issues and stakeholders.
Self-starter mindset with the motivation to take ownership, learn quickly, ask good questions and progress analysis with limited supervision.
Fluent written and spoken English.
Experience and Education
Bachelor’s degree or equivalent experience in Business Administration, Information Systems, Data Analytics, Finance, Engineering or a related field.
0–3 years of experience in business analysis, data analysis, reporting, process improvement, data quality or related areas.
Experience from international, matrixed or multi-system environments is beneficial but not required.
Interest in data governance, master data management, enterprise data models, system integration and digital transformation.
Interest in using modern technology to solve business and data problems, including low-code tools, process automation, AI-assisted analysis and data quality automation.
Experience or interest in working across several business domains and system types, rather than being limited to one application or function.
Working conditions
This role is open for candidates based in:
It's a hybrid working model (office regulations depending on the specific country).
What we offer
At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities.
If this sounds like the right next step in your professional career, don't hesitate and apply!
