Data Analyst -- Quality Engineering Analytics

Role Overview

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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.

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Key Responsibilities

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1. Data Collection & Preparation

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

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

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

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

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

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

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

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

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