Junior Business & Data Analyst
Technology, Data & Digital · Data, AI & Analytics · Data Analysis · Business Analysis
In short
Responsibilities
- Support the analysis of data quality, completeness, consistency and usability across source systems, data platforms and reporting layers.
- 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.
- Support root-cause analysis for recurring data quality issues.
- 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.
- Gather and document business and data requirements from data consumers, process owners and operational stakeholders.
- Translate data issues and business needs into clear functional requirements for system enhancements, automation or process changes.
- Identify opportunities to use automation, robotic process automation and AI-assisted techniques to reduce repetitive manual work.
- Support impact analysis by collecting relevant context, examples and affected data elements.
- Maintain structured documentation of requirements, decisions, assumptions and open questions.
- 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.
- Support documentation of data definitions, data standards, business rules, ownership and stewardship responsibilities.
- 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 expectations.
- Support adoption of common data definitions and the Common Information Model across domains and systems.
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.
Desired Qualifications
- Bachelor’s degree or equivalent experience in Business Administration, Information Systems, Data Analytics, Finance, Engineering or a related field.
- Minimum 2-3 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.
Benefits
- 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.
Skills
Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. Almost nine decades of deep experience means we see what others miss. By leveraging technology in partnership with our clients, combined with an innovative, holistic approach, we’re transforming the security industry. With 350 000 employees in 47 markets, we see a different world and create sustainable value for our clients by protecting what matters most - their people and assets.
Company
Securitas GroupJob Posted
5 days ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Associate
Locations
Gurugram, India
Qualification
Applicants
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