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- Tasks: Lead data cleansing efforts in SAP for accuracy and reliability.
- Company: Join a dynamic team focused on data quality and innovation.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Make a real impact by improving data quality and collaborating with diverse teams.
- Qualifications: Experience in SAP data cleansing and strong problem-solving skills required.
- Other info: Ideal for detail-oriented individuals passionate about data management.
The predicted salary is between 36000 - 60000 £ per year.
SAP Data Cleansing Analyst SAP Data, Cleansing, Deduplication, ETL
Are you the right candidate for this opportunity Make sure to read the full description below.
– Load, Tables
– Lead the data cleansing efforts within our SAP system to ensure data accuracy, consistency, and reliability.
– Develop and implement comprehensive data cleansing strategies and methodologies tailored to our organisation’s needs.
– Analyse large datasets to identify data quality issues, including duplicates, inconsistencies, and missing values, using data profiling / assessment tools where available
– Collaborate with cross-functional teams to understand data requirements and establish data quality standards.
– Utilise SAP tools and technologies to clean, transform, and enrich data, ensuring it meets the defined quality standards.
– Monitor data quality metrics and generate regular reports to track progress and identify areas for improvement.
Experience
– SAP data cleansing, data quality management, or a similar role, preferably within an SAP environment.
– Experienced in running SAP mass update transactions and LSMW
– Strong understanding of SAP data structures, Tables, and tools.
– Excellent problem-solving skills with a keen eye for detail.
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SAP Data Cleansing Analyst employer: Stott & May Professional Search Limited
Contact Detail:
Stott & May Professional Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SAP Data Cleansing Analyst
✨Tip Number 1
Familiarize yourself with SAP data structures and tables. Understanding how data is organized in SAP will give you a significant advantage when discussing your experience and strategies during the interview.
✨Tip Number 2
Brush up on your skills with SAP mass update transactions and LSMW. Being able to demonstrate your proficiency in these areas can set you apart from other candidates.
✨Tip Number 3
Prepare examples of past projects where you successfully identified and resolved data quality issues. This will showcase your problem-solving skills and attention to detail, which are crucial for this role.
✨Tip Number 4
Network with professionals in the SAP community. Engaging with others in the field can provide insights into best practices and may even lead to referrals for the position.
We think you need these skills to ace SAP Data Cleansing Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the SAP Data Cleansing Analyst position. Understand the key responsibilities and required skills, especially focusing on data cleansing strategies and SAP tools.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with SAP data cleansing, data quality management, and any specific projects where you have successfully implemented data cleansing strategies.
Showcase Technical Skills: Clearly outline your technical skills related to SAP, including your familiarity with mass update transactions and LSMW. Mention any tools or methodologies you have used for data profiling and assessment.
Tailor Your Application: Customize your application materials to reflect the specific requirements of the job. Use keywords from the job description to demonstrate that you are a perfect fit for the role.
How to prepare for a job interview at Stott & May Professional Search Limited
✨Show Your SAP Expertise
Make sure to highlight your experience with SAP data cleansing and management. Be prepared to discuss specific projects where you've successfully improved data quality, as this will demonstrate your hands-on knowledge of the tools and methodologies required for the role.
✨Demonstrate Analytical Skills
Prepare to showcase your ability to analyze large datasets. Bring examples of how you've identified data quality issues in the past, such as duplicates or inconsistencies, and explain the tools you used for data profiling and assessment.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with different departments. Share examples of how you've established data quality standards and requirements through teamwork.
✨Focus on Problem-Solving
Highlight your problem-solving skills by discussing specific challenges you've faced in data cleansing. Explain how you approached these issues and the solutions you implemented, showcasing your attention to detail and analytical thinking.
