Data Analyst - Quality Engineering Analytics at Artiminds Data Analyst - Quality Engineering Analytics at Artiminds in Wichita, Kansas Posted in 2 days ago.

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full-time 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