Data Analyst — Quality Engineering Analytics

Artiminds; Wichita (KS); On-site; USD 65,000 - 95,000; Full time

Job summary

Artiminds in Wichita, KS seeks a detail-oriented Data Analyst to support a Quality Engineering team through advanced data analysis, reporting, and scorecard development. This role collaborates with stakeholders and uses Excel, Power BI, or Tableau to deliver actionable insights.

Responsibilities include data collection and preparation, trend analysis, and creating executive dashboards for leadership. Strong Excel/SQL skills and 3–7 years of experience are expected.

Qualifications

• Bachelor's degree in Data Analytics, Statistics, Engineering, or 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.

Responsibilities

• Collaborate with client stakeholders to gather data from internal systems.
• Validate, cleanse, and preprocess datasets for accuracy and consistency.
• Structure datasets for multi-dimensional analysis (time period, program/area, severity level, employee attributes).
• Perform detailed analysis across quality metrics and defect data.
• Generate weekly and monthly trend insights.
• Build analytical models and recurring reports; standardize KPIs and templates.
• Develop executive dashboards using Excel, Power BI, Tableau, or PowerPoint.

Skills

Advanced Excel

SQL

Python or R

Data storytelling

Education

Bachelor's degree in Data Analytics, Statistics, Engineering, or related field

Tools

Power BI

Tableau

Excel

Job description

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