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Target is a Fortune 50 company and one of America’s leading retailers. We’re driven by purpose and committed to creating an inclusive, innovative, and rewarding work environment. At Target, we invest in our team members through leadership development and global opportunities.
About Target in India (TII)
Target in India supports global operations with over 4,000+ professionals. We’re a fully integrated part of Target’s enterprise, delivering a strategic impact through talent, technology, and innovation.
Team: Pricing & Promotions Center of Excellence (PPCOE)
PPCOE builds enterprise-wide pricing and promotion strategies to drive competitive pricing and better guest value. The Comp Intel team supports this mission by delivering accurate, timely, and insightful competitor data to drive pricing decisions.
Role Overview
The L4 CI Ops Analyst plays a critical role in strengthening Comp Intel operations by executing audits, analyzing match quality trends, and driving structured issue resolution across tools, processes, and workflows. This role focuses on identifying systemic gaps, improving operational accuracy, and partnering cross-functionally to enhance product matching quality and pricing integrity.
Key Responsibilities
Audit Execution & Quality Assurance
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Conduct item match audits, match rejection reviews, and targeted deep dives to ensure high match accuracy and data integrity.
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Support product and process enhancements by identifying quality gaps and operational inefficiencies.
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Monitor and evaluate audit outcomes to maintain strong operational performance standards.
Trend Analysis & Insights
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Analyze audit results and match rejection feedback to identify recurring issues and systemic patterns.
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Translate findings into clear, actionable insights for stakeholders across Product, Pricing, and Technology teams.
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Contribute to dashboards and reporting that track error trends, audit results, and overall operational health.
Root Cause Analysis & Resolution Management
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Lead investigations into pricing anomalies and errors driven by incorrect product matching or system gaps.
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Perform structured root cause analysis and drive both short-term fixes and long-term corrective actions.
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Maintain a comprehensive root cause log capturing recurring issue types, impacted categories, and resolution SLAs.
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Raise, track, and manage issue tickets with cross-functional partners through to closure.
Cross-Functional Collaboration
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Partner closely with Product, Pricing, Data Science, Engineering, and Product Content teams to resolve operational challenges.
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Provide structured feedback to Data Science and Technology teams on automated matching tools, pricing logic, and attribute scoring models.
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Act as an operational point of contact to ensure alignment between CI processes and evolving business needs.
Process Improvement & Optimization
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Recommend updates to SOPs, workflows, and operational guidelines based on audit insights and trend analysis.
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Identify opportunities for automation, system-level controls, and tool enhancements to reduce manual effort and improve scalability.
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Support knowledge documentation and best practice sharing to improve team efficiency and long-term operational maturity.
Minimum Requirements
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Bachelor’s degree in Business, Economics, Statistics, Data Analytics, Engineering, or a related quantitative field.
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3-5 years in auditing, operations, quality assurance, analytics, ideally in Retail, Pricing, or GCC environments.
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Strong leadership, communication, and problem-solving abilities.
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Experience in cross-team collaboration.
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Proficiency in Microsoft O365 (Excel, PowerPoint, Share Point).
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Working knowledge of SQL (basic select/join queries).
Desired Requirements
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Master’s degree (MBA in Retail/Ops management/Analytics, or related discipline).
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A year in quality assurance or any audit functions.
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Advanced knowledge in micro/macro-economic concepts, statistical methodologies and concepts.
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About Target

Target
PublicTarget Corporation, doing business as Target, is an American retail corporation headquartered in Minneapolis, Minnesota, United States. Target operates retail stores. It is the eighth-largest retailer in the United States and is a component of the S&P 500 Index.
10,001+
Employees
Minneapolis
Headquarters
Reviews
3.2
19 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.5
Career
2.0
Management
1.2
15%
Recommend to a Friend
Pros
Hard-working employees acknowledged by management
High-paying corporate positions available
Some competitive salary offers
Cons
Mass layoffs and job cuts
Poor management and leadership decisions
Toxic workplace culture
Salary Ranges
25 data points
Junior/L3
Mid/L4
Director
Junior/L3 · Decision Sciences Analyst
1 reports
$104,000
total / year
Base
$80,000
Stock
-
Bonus
-
$104,000
$104,000
Interview Experience
46 interviews
Difficulty
4.0
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 65%
Neutral 21%
Negative 14%
Interview Process
1
Recruiter Screen
2
ML Coding
3
ML System Design
4
Research Discussion
5
Team Interviews
Common Questions
ML fundamentals
Design an ML system
Research paper discussion
Statistical concepts
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