Data Quality Analyst
1 week ago
Overview: We are seeking a detail-oriented and analytical Data Analyst to join our Quality Department. The ideal candidate will possess strong proficiency in using Power BI, SQL, and Excel to analyse and interpret complex datasets related to quality assurance and process improvement. The role involves collaborating with cross-functional teams to extract actionable insights from data, driving decision-making processes, and supporting continuous improvement initiatives within our organization.
Responsibilities:
Data Collection and Analysis:
Retrieve, clean, and manipulate data from various sources using SQL queries and Excel functions.
Develop automated processes for data extraction and reporting to streamline analysis procedures.
Create insightful visualizations and dashboards using Power BI to effectively communicate findings and trends.
Quality Assurance Monitoring:
Monitor key quality metrics and KPIs, identifying trends and anomalies to ensure adherence to quality standards.
Conduct root cause analysis on quality issues and propose corrective actions based on data-driven insights.
Process Improvement:
Collaborate with cross-functional teams to understand process workflows and identify areas for improvement.
Use data analysis to suggest and implement process enhancements aimed at optimizing efficiency and quality outcomes.
Reporting and Presentation:
Prepare regular reports and presentations for stakeholders, summarizing key findings and recommendations.
Communicate complex technical concepts and analysis results to non-technical audiences in a clear and concise manner.
Data Integrity and Governance:
Ensure data integrity by implementing quality control measures and performing validation checks.
Adhere to data governance policies and procedures to maintain confidentiality, integrity, and availability of data.
Requirements:
Bachelor’s degree
Proven experience as a Data Analyst or similar role, preferably in a quality assurance or manufacturing environment.
Proficiency in SQL for data querying and manipulation.
Advanced skills in Excel (including pivot tables, functions, and macros)
Power BI for data visualization and reporting.
Strong analytical and problem-solving skills with attention to detail.
Ability to work independently and collaboratively in a team-oriented environment.
Excellent communication and interpersonal skills to effectively interact with stakeholders at various levels.
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