Job Summary

• Data analysis and interpretation skills
• KPI calculation and validation expertise
• Experience with dashboards and BI tools (e.g., Power BI or equivalent)
• Ability to work with large, multi‑site manufacturing datasets
• Trend analysis and anomaly detection
• Experience in Agile / DevOps environments
• Support for UAT and data sign‑off
• Documentation discipline for KPIs and business rules
• Experience working in global or multi‑plant manufacturing environments

Role Purpose

The Business / Data Analyst is responsible for transforming manufacturing data into meaningful business insights by defining, validating, and analyzing Visual Factory KPIs, dashboards, and trends.

This role ensures that data shown in Visual Factory is accurate, consistent, actionable, and trusted by manufacturing operations, quality teams, and leadership.

Roles & Responsibilities

1. Manufacturing KPI Definition & Ownership

• Define, document, and govern manufacturing KPIs used in Visual Factory:
  • OEE (Availability, Performance, Quality)
  • Downtime, scrap, yield, throughput
  • Shift / line / site / enterprise‑level metrics
• Own KPI definitions, formulas, thresholds, and hierarchies (KPI Trees).
• Ensure KPI standardization across plants, lines, and regions.
• Act as the single source of truth for KPI interpretation

2. Data Analysis & Insight Generation

Analyze manufacturing data to:

• • Identify performance trends and anomalies
  • Detect production losses, bottlenecks, and quality issues
• Translate raw data into actionable insights for operations and management.
• Support root cause analysis using data from Visual Factory dashboards.
• Recommend data‑driven improvements to manufacturing processes.

3. Data Mapping & Validation

• Identify and document data sources (MES, historians, ERP, quality systems).
• Define business rules for data aggregation, rollups, and calculations.
• Validate data accuracy and completeness across source → API → dashboard.
• Work closely with API and QA teams to resolve data mismatches or KPI inaccuracies.

Key Responsibilities

1. Conduct data analysis to identify trends, patterns, and insights that can drive business decisions.
2. Collaborate with stakeholders to gather business requirements and translate them into functional specifications.
3. Lead and participate in agile ceremonies such as sprint planning, daily standups, and retrospectives.
4. Create detailed documentation including user stories, process flows, and technical specifications.
5. Work closely with developers and qa teams to ensure successful implementation and testing of solutions.
6. Provide guidance and mentorship to junior business analysts and team members.
7. Continuously improve processes and methodologies to enhance productivity and delivery efficiency.

Skill Requirements

1. Proficient in data analysis techniques and tools such as sql, python, or r.
2. Strong business analysis skills including requirements gathering, process mapping, and solution design.
3. Experience working in agile environments using methodologies like scrum or kanban.
4. Excellent communication and stakeholder management skills.
5. Ability to work collaboratively in cross functional teams to achieve project goals.
6. Analytical mindset with a detail oriented and problem-solving approach.
7. Project management skills to effectively prioritize tasks and meet deadlines.

Other Requirements

1.Agile certifications such as Certified Scrum Master (CSM) or PMI Agile Certified Practitioner (PMIACP) are a plus.