SAP Data Analyst

JD for Data analyst

• Data extraction from multiple sources, applying advanced cleansing and transformation techniques such as handling missing data, duplication removal and analyzing validation rules to ensure data accuracy, consistency, and readiness for analysis.
• Analyze and reconcile discrepancies in data by identifying root causes, implementing corrective measures, and maintaining detailed documentation of reconciliation processes.
• Conduct in-depth data profiling to assess quality, identify anomalies, and uncover trends or patterns that contribute to informed decision-making.
• Execute post-load validation processes to verify the completeness, accuracy, and compliance of data within the target environment, ensuring adherence to organizational and technical standards.
• Ensure that all data processes comply with SAP standards and guidelines, emphasizing data governance, security, and quality assurance practices.
• Design, document, and implement workflow optimization for efficient data processing, ensuring scalability and adaptability to meet evolving business needs.
• Partner with cross-functional teams, including business stakeholders and IT departments, to deliver actionable insights, resolve data-related issues, and support strategic initiatives.
• Continuously monitor and refine data processes to enhance performance, identify bottlenecks, and implement automation where applicable.
• Maintain detailed technical documentation of all data extraction, transformation, and validation procedures, fostering transparency and knowledge sharing across teams.

Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Proven experience (2-5 years) as a Data Analyst or in a similar role.
• Proficiency in SQL for querying databases and data extraction.
• Hands-on experience with data visualization tools such as Tableau, Power BI, or Looker.
• Strong knowledge of Excel and other data analysis tools.
• Experience with statistical analysis and tools such as Python, R, or SPSS is a plus.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong communication skills and the ability to present complex findings in a clear and actionable manner.