Data Analytics & BI Technical Lead

Quick Facts

• Role: Data Analytics & BI Technical Lead
• Focus: Strengthen NAQ market-quality issue detection and promotion through analytics, BI solutions, data engineering, and governance

Description

Manage data engineering methods, BI platforms, analytics tools, and governance processes to detect field-quality trends quickly, accurately, and consistently. Translate complex data into reliable business insight, improve analytical capability across responsible areas, and standardize quality analytics methods to improve speed, consistency, accuracy, and forecasting. Lead strategies for complex ad-hoc leadership analytics and drive recurrence prevention through durable process improvements.

Responsibilities

• Lead business planning and capability development to improve processes, tools, reporting standards, and analytics methods for market-quality trend detection and issue promotion
• Continuously improve data engineering toolsets (BI platforms and analytical tools), establishing BI solutions, data architecture, data quality, reporting methodologies, and reusable analytics models
• Lead recurrence prevention by converting identified gaps into durable process changes, countermeasures, and follow-up controls
• Govern and approve QIS, QIC, and Problem Definition records; advise on issue detection methodologies, quality risks, analytics strategies, and data quality standards
• Manage and execute complex or high-profile ad-hoc data requests from leadership; provide clear, accurate, timely, decision-ready outputs
• Present strategic analytics recommendations to Unit and Department leadership

Requirements

• BS in Computer Science, Data analytics, Mathematics, Economics, or Engineering (or equivalent experience)
• 8+ years analytical or information analysis experience (based on amount of education)
• Expert in NAQ market-quality data extraction, validation, summarization, and explanation
• Advanced proficiency with QlikView, Qlik Sense, and Power BI
• Experience with SQL, Python, and common data science libraries for analysis, automation, and repeatable reporting
• Experience programming VBA and supporting MS Access and Excel-based analytical tools
• Expert knowledge of CoReMQ and related records (QIC, QIS, Problem Definitions, Warranty Claims, F&S Queries, Tech Line)
• Strong applied statistics and analytical reasoning skills (distributions, statistical testing, regression, trend evaluation)
• Clear communication in written, verbal, and visual formats for technical and leadership audiences
• Strong prioritization, attention to detail, and judgment for business-critical outputs
• Ability to gather, clean, transform, and reconcile multi-source data into analysis-ready datasets
• Advanced experience with analytics strategy, predictive modeling, BI governance, data architecture, and reusable analytics best practices
• Responsible for training, mentoring, and advising data engineers and cross-functional users

Benefits

Competitive base salary (variable by geographic location and experience), regional bonus (when applicable), manager lease car program, industry-leading benefits (medical, dental, vision, Rx), paid time off, paid short-term and long-term disability, 401(k) with company match plus additional contribution, and relocation assistance (if eligible). Additional offerings include education reimbursement and training programs, lifestyle and caregiving reimbursement accounts, wellbeing program, community service and engagement programs, tuition assistance, and student loan repayment.