Data Analyst — Quality Engineering Analytics

Role OverviewWe 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 & PreparationPartner with client stakeholders to gather data from internal systemsValidate, cleanse, and preprocess datasets for accuracy, completeness, and consistencyStructure datasets for multi-dimensional analysis (time period, program/area, severity level, employee attributes)2. Data Analysis & InsightsPerform detailed analysis across quality metrics and defect dataConduct month-over-month and year-over-year comparisons to surface patterns and deviationsGenerate weekly and monthly trend insights3. Trend Analysis & ReportingBuild analytical models and recurring reportsRun comparative analysis across time periods (monthly, quarterly, annual) and organizational segments (business units, functions, tenure groups)4. Benchmarking & StandardizationAlign 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 & DeliverablesDevelop executive-level dashboards using Excel, Power BI, Tableau, or PowerPointDeliver trend charts, heatmaps and distribution analyses, and leadership-ready insight summaries6. Continuous ImprovementIncorporate stakeholder feedback to refine analysis, dashboards, and outputsExpand analytics scope with new metrics, dimensions, or predictive insightsRequired QualificationsBachelor's degree in Data Analytics, Statistics, Engineering, or a related field3–7 years in data analysis, reporting, or analyticsAdvanced Excel and SQL; Python or R preferredPower BI and/or TableauHands-on experience with large datasets, data cleansing, and trend analysisPreferred QualificationsManufacturing or aerospace domain analyticsScorecard / KPI framework developmentComfort with both structured and unstructured data sourcesKey SkillsStrong analytical and problem-solving abilityData storytelling and executive communicationAttention to detail and data accuracyStakeholder management and collaborationContinuous improvement mindset