Hybrid Data Analyst: Dashboards & Python Analytics for Leadership

RB Distribution, Inc.; Colmar (PA); On-site; USD 76,000 - 112,000; Full time

Benefits offered by this job

Medical, dental, vision

401k with company match and profit‑sol

Paid time off

Paid holidays

Parental Leave

Discounted Employee Stock PurchasePlan

Job summary

Dorman is seeking a Quality & Engineering Data Analyst to deliver scalable reporting and analytics for Quality, Engineering and cross-functional teams by building Python applications, Qlik Sense dashboards, BO reports, and automated Excel-based reporting.

The role translates business requirements into technical specifications, curates data pipelines, and prepares concise, executive-ready insights for leadership.

Qualifications

• Bachelor’s degree in Engineering, Data Analytics, Statistics, Computer Science, or related field.
• 2-5 years of analytics, data reporting, or engineering/quality support experience.
• Hands-on experience with Power Query, Power Pivot, and Excel automation.
• Experience building dashboards in Qlik Sense or similar BI tools.
• Experience using Python for data analysis, forecasting, automation, and process improvement.
• Familiarity with SAP Business Objects (BOBJ/WebI) reporting or willingness to learn.
• Experience with warranty, returns, QI metrics, or engineering process data (Preferred).
• Experience extracting and integrating data via APIs, including use of workflow automation tools such as Zapier (Preferred).
• Experience supporting analytics developers and IT partners (Preferred).

Responsibilities

• Build and maintain Qlik Sense dashboards, Excel-based reporting, and Business Objects outputs to deliver accurate, validated KPIs.
• Develop forecasting and predictive analytics models using Python to identify risks, uncover opportunities, and support proactive business decision-making.
• Develop clear, executive-ready data visualizations and reporting materials tailored for leadership.
• Analyze warranty, returns, voice of customer data, and engineering project data to identify trends and improvement opportunities.
• Build and automate recurring data pipelines using Power Query, Power Pivot, Excel automation, and SQL as needed.
• Redesign legacy manual reports, improving efficiency, sustainability, and alignment with standard reporting logic.
• Lead requirements gathering, translate business needs into technical specifications, and maintain documentation for processes and data definitions.
• Apply foundational statistical methods to assess and validate quality and operational performance.
• Collaborate across Engineering, Quality, Procurement, and Manufacturing while advising on data structure, reporting best practices, and leadership insights.

Skills

Data analysis

KPI storytelling

Cross-functional collaboration

Communication skills

Problem solving

Attention to detail

Education

Bachelor’s degree in Engineering, Data Analytics, Statistics, Computer Science, or related field

Tools

Power Query

Power Pivot

Excel automation

Qlik Sense

Python

SAP Business Objects (BOBJ/WebI)

Job description

Dorman is seeking a Quality & Engineering Data Analyst to deliver scalable reporting and analytics for Quality, Engineering and cross-functional teams by building Python applications, Qlik Sense dashboards, BO reports, and automated Excel-based reporting.

The role translates business requirements into technical specifications, curates data pipelines, and prepares concise, executive-ready insights for leadership.