Data Analyst - Quality Engineering

Humanscale
Piscataway, NJ, US
Full-time

Overview

Responsible for reviewing customer complaints to ensure data integrity. Analyze various data related to departmental performance, generate quality metrics, prepare presentations, and communicate results effectively.

Strive to Assist Quality department in preparation of reports, graphical analysis and other related duties assigned by the supervisor.

Responsibilities

  • Critically review product and process quality complaints to identify key information. Interface with complaint initiators, to obtain pertinent details required for supporting Quality functions
  • Evaluates complaints for potential safety issues, new product issues, manufacturing issues, misclassification, and provide timely escalations of issues to the Quality department
  • Analyzes and trends complaint data regularly to identify new issues as necessary
  • Monitor evaluation data of returned goods and ensure complete documentation is followed as per established standard procedures
  • Refine complaints data into meaningful statistics / information; with summarized analysis to enable management review of product and process performance
  • Facilitate to prepare and produce analysis and reports as assigned or requested. Adhere to format, content and style guidelines, giving consideration to usability and ensuring accuracy, consistency, and quality
  • Check data for accuracy of complaints by researching historical issues, corrective actions, order details, BOMs, and update complaint and product coding to maintain data accuracy
  • Be conscious of complaints being reviewed and proactively look for trends in data and report to manager accordingly
  • Contribute ideas and suggestions to improve processes and product performance based on observed field failures
  • Ensure timely management of all complaints, reports, and presentations
  • Extracts weekly and monthly quality data and maintains department records / files as required
  • Support cross functional teams and stakeholder groups on ad-hoc data analysis, data queries, in support of product and process performance
  • Prepare presentations summarizing major external issues, internal issues, costs of poor quality trends, complaint trends, and distribute reports to various interoffice departments.
  • Communicate needs and requests to other team members as appropriate
  • Additional duties as assigned

Qualifications

  • A minimum of a Bachelor’s degree in Mathematics, Statistics, Engineering or related fieldA minimum of 1 to 3 years of complaint evaluation and data analysis experience in a Quality roleStrong analytical, critical thinking, organizational, and time management skillsHighly disciplined and motivated self-starterAbility to review extensive complaint information, trend, analyze, and report data using databases and / or Excel with attention to detail and accuracyAbility to write and communicate effectively, including generating and presenting well-written reports and presentations is requiredAbility to effectively prioritize and manage multiple responsibilities is requiredAbility to interact professionally with all organizational levelsProficiency in Microsoft Word, PowerPoint, and Excel required, Access a plusExperience with Minitab preferredPossesses good verbal, written, and listening communication skills Experience in an admin / support services roles, with experience in data analysis is desiredExcellent follow up skills requiredGood command over written and spoken English, Spanish a plus Benefits Competitive salaryMedical Benefits (Medical, Dental, Vision)HSA, Medical FSA, Limited FSA, Dependent Care FSA, Commuter BenefitsMedical DiscountsAncillary BenefitsAccident, Critical Illness, Hospital InsuranceBasic Life and AD&D, Voluntary, Spouse, and Child Life InsuranceHealth AdvocatesEAP, Complementary Life and Short-Term DisabilityPet InsuranceEmployee Discount Programs401k with Employer matching (Pre-Tax and Roth)100% VestedPaid time off (including 15 PTO days and 10 holidays)Maternity PTO
  • 30+ days ago
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