Work From Home, Principal Associate- Supply Chain Analytics
Lincoln, Lancaster County, Nebraska, 68511, USA
Listed on 2026-01-01
-
IT/Tech
Data Analyst, Data Security
Overview
Work From Home, Principal Associate
- Supply Chain Analytics
6 days ago Be among the first 25 applicants
Work From Home, Principal Associate
- Supply Chain Analytics
Are you looking for a challenging role that includes the convenience of working virtually at home? Then a Capital One Customer Operations role may be the role for you! To be eligible for this role, candidates must live within 100 miles radius of one of the following zip codes (excluding CA) and report in person, when required, with at least 24 hours notice.
- 23060 (Richmond, VA)
- 23320 (Chesapeake, VA)
- 33634 (Tampa, FL)
- 89144 (Las Vegas, NV)
- 75024 (Plano, TX)
- 19801 (Wilmington, DE)
- 68521 (Lincoln, NE)
- 56301 (St. Cloud, MN)
Supply Chain Solutions (SCS) manages over 2 billion customer interactions annually for Capital One. SCS partners with over 25 suppliers and is accountable for ~$1B spend. In addition to managing and influencing every aspect of the credit card production and print media/marketing global supply chain (from paper mills to card manufacturing and logistics providers), this team delivers innovations across direct marketing and keeps Capital One out in front of the competition.
SCS is embarking on an exciting transformation journey and we are looking for a Principal Associate to join our team!
The Well-Managed Solutions (WMS) team within SCS is currently hiring for a Principal Associate (PA) that will take our Well Managed transformation to the next stage by developing innovative data models, metrics and insights that shape the future of supply chain operations. This PA role is perfect for someone who thrives on data exploration, curiosity, and creating structure in new evolving areas.
As a key member of the WMS team, this role will collaborate with smart and passionate leaders across first and second lines to deliver results that have a direct impact on the company’s bottom line.
Specifically, the Well-Managed Solutions (WMS) Team within SCS is leading a multi-year transformational Well Managed journey focusing on:
- Strengthening the Control Ecosystem - working closely with all Card business areas to enable deeper risk mitigation and requirement compliance working closing with all Card business areas to enable better business results through data analytics, risk and control capabilities and insights
- Amplify Simplification & Automation - integrating related work to drive more efficiency and effectiveness, while advancing the journey to reduce manual processes and seize the power of data
- Drive Sustainability - proactively adopting digital solutions and right-sized advisory governance to enable sustainable risk management
Responsibilities of this role include but are not limited to:
- Merge and clean large datasets from multiple sources to support forecasting and risk insights.
- Build and validate forecasting models to anticipate risk and operational performance
- Design and implement innovative performance metrics to track business and supplier outcomes.
- Partner directly with leadership as a codeveloper of strategy, bringing forward proactive insights.
- Translate technical findings into business recommendations that drive decisions.
- Work independently, with strong ownership of deliverables and minimal supervision.
- Stay curious: explore new tools, test approaches, and share learnings.
- Partnering cross-functionally to provide strategic and tactical thought-partnership to effectively evolve automation opportunities.
- Building relationships and collaborating with key stakeholders
- Furthering the Well Managed agenda within SCS to drive sustainability, amplify simplification & automation, enable ownership & accountability through transparency, and strengthen the control ecosystem
Basic Qualifications:
- High School Diploma, GED, or Equivalent Certification
- At least 3 years of experience in data analytics, forecasting or quantitative modeling
- At least 3 years of experience using Python (data cleaning, modeling, visualization)
- At least 2 years of experience handling complex datasets, identifying trends and developing metrics.
- At least 2 years of experience using Google Suite or Microsoft Office
Preferred Qualifications:
- Ba…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).