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Data Analyst - SAP Ariba
Kelda Group Limited
Bradford, England, United KingdomOn Site
Original Job Summary
About the Role
Join Kelda Group Limited as a Data Analyst - SAP Ariba where you will manage, analyse, and enhance SAP Ariba master data for optimal quality and compliance. You will work in a dynamic team within the Finance department, supporting business processes and delivering actionable insights.
Key Responsibilities
- Create, maintain, and enhance Ariba data including contract workspaces and supplier qualifications.
- Analyse and improve master data quality to support business processes.
- Perform regular data cleansing and archiving of outdated or duplicate data.
- Identify data risks and propose mitigation recommendations.
- Coordinate between suppliers and end users to resolve data issues.
- Provide training and support on master data management within Ariba.
What We Offer
- Competitive salary ranging from £25,525 to £29,583 with an annual incentive bonus.
- Attractive pension scheme up to 12% company contribution.
- 25 days annual leave plus bank holidays and an extra wellness day.
- Comprehensive benefits including health cash plan, dental and life assurance cover.
- Hybrid working arrangement with 1-2 days in the Bradford office.
Key Skills/Competency
- SAP Ariba
- SAP S4 HANA
- Data cleansing
- Data analysis
- Microsoft Office
- Data quality
- Contract management
- Risk assessment
- Training
- Power BI
How to Get Hired at Kelda Group Limited
🎯 Tips for Getting Hired
- Research Kelda Group Limited's culture: Review mission, values, and recent achievements on company website.
- Customize your resume: Highlight SAP Ariba experience and data skills.
- Showcase technical expertise: Emphasize SAP S4 HANA and Microsoft Office proficiency.
- Prepare for behavioral questions: Demonstrate problem-solving and collaboration examples.
📝 Interview Preparation Advice
Technical Preparation
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Review SAP Ariba functionalities.
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Practice data cleansing exercises.
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Study SAP S4 HANA basics.
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Enhance Microsoft Office skills.
Behavioral Questions
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Describe previous data improvement projects.
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Explain time management under pressure.
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Discuss teamwork in data challenges.
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Illustrate conflict resolution with suppliers.