Skip to content

Open nowPosted 198 days ago

Supplier Quality Engineer

Workable (global search)108,016 open roles

Where
United States
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSupplier Quality EngineerWorkable (global search) · United States
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 198 days ago

Workable (global search) median: 7 days open

The posting

Role Purpose

Integrated Supply Chain organization is seeking a dedicated Data Analyst to support the Supplier Quality Engineering (SQE) function. This role will focus on supplier quality digitization, analytics, and visualization, enabling data‑driven decision‑making across SQE leadership and stakeholders.

The Data Analyst will work closely with the Supplier Quality Engineering organization and existing digitization teams to understand current workflows, automate data pipelines, and deliver interactive dashboards and ad‑hoc insights that improve supplier quality performance, risk visibility, and operational effectiveness.

Key Responsibilities

1. Dashboard & Analytics Development

  • Build and maintain visual dashboards that provide clear, actionable insights into supplier quality performance, risks, trends, and corrective action effectiveness.
  • Translate complex, multi‑source datasets into intuitive, decision‑ready visualizations for SQE leadership and stakeholders.

2. Digitization & Workflow Alignment

  • Work closely with the current SQE digitization team to understand existing data flows, reporting workflows, and analytics requirements.
  • Align new analytics solutions with established SQE processes, standards, and governance models.

3. Data Pipelines & Automation

  • Develop, maintain, and automate data pipelines and workflows for Supplier Quality Engineering using Alteryx (or equivalent ETL tools).
  • Ensure data accuracy, repeatability, scalability, and timely refresh of SQE analytics.
  • Document data flows, transformations, and KPI definitions to support standardization and continuity.

4. Interactive Visualization & Reporting

  • Design, build, and maintain interactive dashboards using Tableau, Power BI, React‑based dashboards, or equivalent tools.
  • Create analytics that support supplier quality decision‑making, including performance monitoring, risk identification, and continuous improvement initiatives.
  • Optimize dashboards for usability, performance, and stakeholder adoption.

5. Ad‑hoc Analysis & Executive Support

  • Perform ad‑hoc data analysis to support SQE initiatives, leadership requests, and supplier reviews.
  • Present findings, trends, and insights to SQE stakeholders and leadership in a clear, concise, and business‑focused manner.
  • Support governance reviews, operational reviews, and continuous improvement discussions with data‑backed insights.

Required Qualifications & Experience

  • Bachelor’s degree in Data Science, Statistics, Engineering, or a related field.
  • Hands‑on experience with Alteryx or comparable ETL/data preparation tools for workflow automation and analytics enablement.
  • Experience with data visualization tools such as Tableau and/or Power BI (experience with React‑based dashboards is a plus).
  • Strong proficiency in SQL for data extraction, transformation, and analysis.
  • Experience working with large, complex datasets from multiple systems.
  • Strong problem‑solving, communication, and stakeholder management skills, with the ability to translate data into meaningful business insights.

Preferred Experience (Nice to Have)

  • Experience supporting Supplier Quality, Manufacturing Quality, or Supply Chain organizations.
  • Familiarity with quality metrics, corrective actions, audits, and supplier performance management.
  • Experience in aerospace, industrial, or regulated manufacturing environments.
  • Exposure to ERP and quality management systems
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.