Data Analyst
ACO Passavant GmbH
DATA ANALYST SUMMARY: The Data Analyst evaluates, cleans, integrates, and analyzes data from multiple business systems. This position develops and maintains trusted analytical datasets, dashboards, and reports; documents data lineage and transformation logic; monitors reporting accuracy and performance; and recommends improvements that make organizational data more consistent, accessible, and useful. DATA ANALYST ESSENTIAL DUTIES AND RESPONSIBILITIES:
• Evaluate existing data sources for accuracy, completeness, and consistency.
• Identify, document, and remediate data quality issues.
• Establish and maintain data validation checks and quality standards.
• Map disparate data sources using common keys and shared dimensions.
• Build and maintain transformation logic that joins and reconciles data across systems.
• Document data lineage, mappings, relationships, and transformation logic for reference and reproducibility.
• Design, build, and maintain dashboards, reports, and analytical datasets in Power BI and other business intelligence tools as needed.
• Support continuous improvement initiatives by identifying data-driven opportunities to improve operational efficiency, quality, cost, and delivery performance.
• Define and maintain consistent KPI definitions, calculation logic, and reporting standards across departments.
• Update and enhance analytics as business logic, source systems, or requirements evolve.
• Monitor reports and data pipelines for accuracy and performance and troubleshoot issues as they arise.
• Recommend improvements to data models, metrics, and reporting based on observed gaps and opportunities.
• Proactively identify ways to make data more consistent, accessible, and useful across the organization. DATA ANALYST COMPETENCIES:
• Data Quality and Validation
• SQL and Data Modeling
• Data Integration and Mapping
• Power BI Reporting and Visualization
• Analytical Problem Solving
• Documentation and Attention to Detail DATA ANALYST POSITION TYPE/EXPECTED HOURS OF WORK: Full-time position. Specific days and work hours will be established by the hiring department and manager. DATA ANALYST EDUCATION AND EXPERIENCE:
• Bachelor's degree in computer science, Data Analytics, Statistics, Information Systems, or a related field.
• Approximately 2-4 years of experience in analytics engineering, business intelligence, or data analysis.
• Prior analytics experience in a manufacturing company.
• Demonstrated experience with Power BI data modeling, DAX, Power Query, dashboard development, and performance optimization. DATA ANALYST ADDITIONAL ELIGIBILITY QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required:
• Experience working with Manufacturing and Supply Chain KPIs.
• Experience working with ERP, MRP, MES, or other manufacturing systems and their underlying data preferred.
• Strong proficiency in SQL for querying, transformation, and data modeling.
• Solid understanding of data quality concepts, data cleaning techniques, and data modeling fundamentals.
• Experience mapping and integrating data across multiple source systems.
• Experience with additional business intelligence tools is preferred.
• Exposure to data engineering practices, including pipeline development, ETL/ELT, version control, and orchestration, is preferred.
• Familiarity with cloud data warehouses is preferred.
• Strong documentation habits and attention to detail. DATA ANALYST PHYSICAL DEMANDS:
• The physical demands for this position will be established and reviewed by Human Resources in accordance with the work environment and applicable requirements. Benefits
Mon-Fri 8am-4:30pm
In Office Role
• Evaluate existing data sources for accuracy, completeness, and consistency.
• Identify, document, and remediate data quality issues.
• Establish and maintain data validation checks and quality standards.
• Map disparate data sources using common keys and shared dimensions.
• Build and maintain transformation logic that joins and reconciles data across systems.
• Document data lineage, mappings, relationships, and transformation logic for reference and reproducibility.
• Design, build, and maintain dashboards, reports, and analytical datasets in Power BI and other business intelligence tools as needed.
• Support continuous improvement initiatives by identifying data-driven opportunities to improve operational efficiency, quality, cost, and delivery performance.
• Define and maintain consistent KPI definitions, calculation logic, and reporting standards across departments.
• Update and enhance analytics as business logic, source systems, or requirements evolve.
• Monitor reports and data pipelines for accuracy and performance and troubleshoot issues as they arise.
• Recommend improvements to data models, metrics, and reporting based on observed gaps and opportunities.
• Proactively identify ways to make data more consistent, accessible, and useful across the organization. DATA ANALYST COMPETENCIES:
• Data Quality and Validation
• SQL and Data Modeling
• Data Integration and Mapping
• Power BI Reporting and Visualization
• Analytical Problem Solving
• Documentation and Attention to Detail DATA ANALYST POSITION TYPE/EXPECTED HOURS OF WORK: Full-time position. Specific days and work hours will be established by the hiring department and manager. DATA ANALYST EDUCATION AND EXPERIENCE:
• Bachelor's degree in computer science, Data Analytics, Statistics, Information Systems, or a related field.
• Approximately 2-4 years of experience in analytics engineering, business intelligence, or data analysis.
• Prior analytics experience in a manufacturing company.
• Demonstrated experience with Power BI data modeling, DAX, Power Query, dashboard development, and performance optimization. DATA ANALYST ADDITIONAL ELIGIBILITY QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required:
• Experience working with Manufacturing and Supply Chain KPIs.
• Experience working with ERP, MRP, MES, or other manufacturing systems and their underlying data preferred.
• Strong proficiency in SQL for querying, transformation, and data modeling.
• Solid understanding of data quality concepts, data cleaning techniques, and data modeling fundamentals.
• Experience mapping and integrating data across multiple source systems.
• Experience with additional business intelligence tools is preferred.
• Exposure to data engineering practices, including pipeline development, ETL/ELT, version control, and orchestration, is preferred.
• Familiarity with cloud data warehouses is preferred.
• Strong documentation habits and attention to detail. DATA ANALYST PHYSICAL DEMANDS:
• The physical demands for this position will be established and reviewed by Human Resources in accordance with the work environment and applicable requirements. Benefits
- Medical & Dental
- Company paid - Vision, Life Insurance, Short-Term, & Long-Term Disability
- 401(k) Match
- HSA & FSA
Mon-Fri 8am-4:30pm
In Office Role
Vacancy posted 4 days ago
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