Purpose

The purpose of this Field Data Analyst – Skill Assessment is to evaluate the employee’s current capability in handling production data analysis responsibilities across technical tools, data quality practices, reporting ability, and field coordination. This assessment is designed to identify how effectively the employee can collect, validate, clean, reconcile, analyze, and report production-related data using tools such as Excel, ERP/MDM systems, field data collection applications, and Power BI. It also helps measure the employee’s understanding of governance practices such as duplicate detection, master data usage, SOP adherence, completeness checks, timeliness tracking, and escalation procedures. The assessment supports capability mapping for the role of Production Data Analyst and highlights the employee’s current strengths, development areas, and required training interventions. Based on the score of 2.41, the employee falls under Category C – Developing, indicating that the employee has basic working knowledge in some areas but requires structured training, process exposure, and closer guidance to improve accuracy, reporting quality, and proactive issue handling.

Overview

This assessment focuses on four key competency areas required for a Production Data Analyst: Technical Skills assess the employee’s ability to work with data collection tools, Excel, ERP/MDM systems, Power BI, and production reporting processes. The employee shows some capability in data collection and basic Excel usage, but needs further training in advanced Excel, ERP/MDM navigation, proactive issue escalation, and Power BI reporting. Data Quality & Governance evaluates the employee’s understanding of validation, duplicate identification, master data usage, SOP compliance, completeness checks, and timely data submission. The current assessment indicates that the employee needs training in all major governance areas to improve data reliability, control, and compliance. Analytical & Reporting measures the employee’s ability to interpret trends, identify root causes, build dashboards, and communicate insights clearly. The employee shows moderate understanding in root-cause analysis and report clarity, but needs improvement in trend interpretation, visualization, dashboard structuring, and evidence-based reporting. Behavioral & Coordination reviews communication, attention to detail, SLA management, and coordination with field/site teams. The employee demonstrates reasonable communication and field coordination ability, but needs to improve accuracy, time management, SLA adherence, and professional follow-up on data issues. The question set is scenario-based and practical, covering real production data situations such as duplicate plot entries, inconsistent vendor names, master data mismatches, delayed submissions, hidden Excel rows, Power BI refresh issues, incomplete records, dashboard interpretation, and stakeholder communication. This makes the assessment suitable for measuring applied knowledge rather than only theoretical understanding. Overall, the assessment helps determine whether the employee can independently manage production data workflows, maintain data quality, support reporting requirements, and coordinate effectively with field and business teams. The current result suggests that the employee is developing in the role and should be supported with targeted training in MS Excel, Power BI, ERP/MDM processes, data governance, and production reporting controls.

• Industry: IT, Software & ITeS
• Level: Experienced
• Tag: Production Data Analyst
• Total Questions: 25

Skills

• Production Data Analyst
• Field Data Analysis
• Data Validation
• Data Quality
• Data Governance
• Excel
• Advanced Excel
• Power BI
• ERP
• MDM
• SAP
• SAP Fiori
• Power Apps
• Data Cleaning
• Duplicate Detection
• Outlier Detection
• Master Data Management
• SOP Compliance
• Production Reporting
• Dashboarding
• Trend Analysis
• Root Cause Analysis
• 5 Why Analysis
• Fishbone Analysis
• Stakeholder Communication
• Field Coordination
• SLA Management
• Attention to Detail

Ideal Roles

• Production Data Analyst
• Field Data Analyst
• Data Analyst
• Production MIS Executive
• MIS Analyst
• Operations Data Analyst
• Data Quality Analyst
• Master Data Analyst
• ERP Data Analyst
• Reporting Analyst
• Power BI Analyst
• Excel Reporting Analyst
• Manufacturing Data Analyst
• Supply Chain Data Analyst
• Plant Data Coordinator
• Field Operations Analyst
• Data Governance Associate
• Process Reporting Executive