What are the responsibilities and job description for the Data Analyst — Quality Engineering Analytics position at Artiminds?
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