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

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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 application s.

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 generati on.Responsibilit ies

Business and Data Anal

- ysisSupport the analysis of data quality, completeness, consistency and usability across source systems, data platforms and reporting lay
- ers.For the initial project, compare and align client-related data points across 40+ Workforce Management systems, the central CRM platform and approximately 60 ERP applicati
- ons.Assist in documenting end-to-end data flows, business processes, CRUD activities and handovers between business and IT te
- ams.Map data elements across systems to identify mismatches, missing values, duplicates,



inconsistent definitions and recurring defe
- cts.Prepare clear analysis outputs, issue summaries and supporting evidence for Data Domain Owners, Sponsors and Stewa

rds.

Data Quality

Improvement and Root-Cause Su

- pport 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 stakeho
- lders.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 n

eeded.Requirements and Functional Specification S

- upportGather and document business and data requirements from data consumers, process owners and operational stakeho
- lders.Translate data issues and business needs into clear functional requirements for system enhancements, automation or process ch
- anges.Identify opportunities to use automation, robotic process automation and AI-assisted techniques to reduce repetitive manual work, improve data validation and support scalable remedi
- ation.Support impact analysis by collecting relevant context, examples and affected data ele
- ments.Maintain structured documentation of requirements, decisions, assumptions and open ques

tions.

Stakeholder

Coordination and Commun

- icationCollaborate with local, divisional and general business teams across Sales, Account Management, People, Finance, Operations, Legal and other relevant fun
- ctions.Work closely with divisional and local IT teams, the Global Data Platform team, Data Governance and Enterprise Data Archit
- ecture.Prepare meeting materials, analysis summaries and follow-up notes to support aligned decision-
- making.Communicate data findings in a simple, structured and business-friend

ly way. Data Governance and Docum

- entationSupport documentation of data definitions, data standards, business rules, ownership and stewardship responsib




- ilities.Contribute to maintaining inventories of data issues, critical data elements, data quality rules and data improvement
- actions.Help ensure that data practices are aligned with governance, privacy, compliance and security expec
- tations.Support adoption of common data definitions and the Common Information Model across domains and

systems.Requ

- irementsStrong 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 l
- anguage.Ability to structure information clearly, document findings and communicate complex topics in simpl
- e 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 ad
- vantage.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 stake
- holders.Self-starter mindset with the motivation to take ownership, learn quickly, ask good questions and progress analysis with limited supe
- rvision.Fluent written and spoken

English.

Experience and

- EducationBachelor’s degree or equivalent experience in Business Administration, Information Systems, Data Analytics, Finance, Engineering or a relat
- ed field.0–3 years of experience in business analysis, data analysis, reporting, process improvement, data quality or relat
- ed 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 transf
- ormation.Interest in using modern technology to solve business and data problems, including low-code tools, process automation, AI-assisted analysis and data quality au
- tomation.Experience or interest in working across several business domains and system types, rather than being limited to one application or

function.

📌 Junior Data & Business Analyst (Comunidad de Madrid)
🏢 Securitas Group
📍 Comunidad de Madrid