Manage Data Analysis Services | NOS Standard

Overview & Purpose

What This Standard Covers

This NOS outlines the competencies required for managing data analysis services, aiming to enhance decision-making and improve business performance through detailed data analysis within organizations. It encompasses tasks related to data study design, data collection, visualization, and analysis using various statistical techniques.

Performance Criteria

Manage an analyst team to meet organizational data analysis requirements
Deliver high-quality, complex data analysis to prioritize organizational focus areas
Utilize statistical programming and software for data analysis
Summarize data and create reports/visuals per organizational procedures
Lead the implementation and maintenance of data analysis frameworks and processes
Create and maintain data models, metadata repositories, and data catalogs
Regularly review and optimize data availability
Address data quality issues per organizational standards
Identify new data types and sources for business innovation
Advise customers on appropriate analytical methodologies
Communicate analysis results to stakeholders
Make recommendations to stakeholders
Design data structures to support analytics
Conduct training needs analysis and provide internal training
Maintain software and application repositories for data analysis
Recommend statistical package selections based on requirements
Contribute to future technology identification in data analytics

Knowledge & Understanding Requirements

Data quality, integrity, and reconciliation standards
Business processes involved with data manipulation
Complex data analysis techniques
Statistical programming techniques and software packages
Design of operational data stores, data warehouses, and data marts
Applications of statistical software and programming languages
End-to-end data analysis processes
Training needs analysis execution
Data analytics applications and relevant tools/techniques
Repository maintenance for software and applications
Scanning for emerging technologies

Relevent Roles

Data Analyst
Data Scientist
Database Administrator
IT Analyst
ICT Professionals