Data Analyst — Quality Engineering Analytics
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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 Responsibilities1. 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 insights3. 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 locations5. Visualization & Deliverables Develop executive-level dashboards using Excel, Power BI, Tableau, or PowerPointDeliver trend charts, heatmaps and distribution analyses, and leadership-ready insight summaries6. 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 field3–7 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