Data Analyst — Quality Engineering Analytics

Role Overview

We are seeking a detail-oriented and analytical Data Analyst to support a Quality Engineering team through advanced data analysis, reporting, and scorecard development. This role works with quality datasets to generate actionable insights, identify trends, and support leadership decision-making through executive dashboards and analytics.

Key Responsibilities

1. Data Collection & Preparation

• Partner with client stakeholders to gather data from internal systems
• Validate, cleanse, and preprocess datasets for accuracy, completeness, and consistency
• Structure datasets for multi-dimensional analysis (time period, program/area, severity level, employee attributes)

2. Data Analysis & Insights

• Perform detailed analysis across quality metrics and defect data
• Conduct month-over-month and year-over-year comparisons to surface patterns and deviations
• Generate weekly and monthly trend insights

3. Trend Analysis & Reporting

• Build analytical models and recurring reports
• Run comparative analysis across time periods (monthly, quarterly, annual) and organizational segments (business units, functions, tenure groups)

4. Benchmarking & Standardization

• Align reporting and scorecard formats to enterprise or site-level frameworks (e.g., BCA or equivalent)
• Standardize KPIs, metric definitions, and reporting templates so they scale across multiple locations

5. Visualization & Deliverables

• Develop executive-level dashboards using Excel, Power BI, Tableau, or PowerPoint
• Deliver trend charts, heatmaps and distribution analyses, and leadership-ready insight summaries

6. Continuous Improvement

• Incorporate stakeholder feedback to refine analysis, dashboards, and outputs
• Expand analytics scope with new metrics, dimensions, or predictive insights

Required Qualifications

• Bachelor's degree in Data Analytics, Statistics, Engineering, or a related field
• 3–7 years in data analysis, reporting, or analytics
• Advanced Excel and SQL; Python or R preferred
• Power BI and/or Tableau
• Hands-on experience with large datasets, data cleansing, and trend analysis

Preferred Qualifications

• Manufacturing or aerospace domain analytics
• Scorecard / KPI framework development
• Comfort with both structured and unstructured data sources

Key Skills

• Strong analytical and problem-solving ability
• Data storytelling and executive communication
• Attention to detail and data accuracy
• Stakeholder management and collaboration
• Continuous improvement mindset