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Process Governance Analyst

Target

Process Governance Analyst

Target

Bangalore,India

·

On-site

·

Full-time

·

1w ago

Required Skills

Process improvement

Data analysis

SQL

Excel

Project management

Problem-solving

Communication

About us:

Target is one of the world’s most recognized brands and one of America’s leading retailers.

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

Target is an iconic brand, a Fortune 50 company and at Target, we have a vision: to become the best culture and brand, the best place for growth and the company with the best reputation. We offer an inclusive, collaborative and energetic work environment that rewards those who perform. We deliver engaging, innovative and on-trend experiences for our team members and our guests. We invest in our team members' futures by developing leaders and providing a breadth of opportunities for professional development. It takes the best to become the best, and we are committed to building a team that does the right thing for our guests, shareholders, team members and communities.

Target Merchandising is evolving at an incredible pace. We are constantly reimagining how this $100+ billion retailer offers the innovative, guest-inspiring brands and items that Target is known and loved for.

Target Plus is a strategic business initiative offering meaningful guest experiences by bringing high demand brands and on-trend selection to Target.com. We are a one-of-a-kind marketplace, carefully curated and built keeping in mind guests' current and changing needs, along with tapping into futuristic market trends. With this we are constantly improving and innovating our digital shopping experience.

Role Overview:

As the Process Governance Analyst in the Target Plus team you will focus on driving continuous improvement, implementing governance structures, and using data analytics to optimize operations and ensure compliance. The role involves a blend of process mapping, project management, and data-driven decision-making in a fast-paced, ambiguous environment.

Key Responsibilities

  • Process Improvement & Optimization: Identify opportunities to increase efficiency, reduce costs, and standardize workflows using Lean Six-Sigma concepts and other continuous improvement methodologies. This includes performing process and value stream mapping, root cause analysis, and Kaizen events.

  • Governance and Compliance: Design and implement governance structures and mechanisms to ensure compliance with internal policies and external regulations. This might involve supporting audits, managing risk, and maintaining documentation for internal controls.

  • Data Analysis & Reporting: Utilize advanced data analysis skills (SQL, Excel, BI tools like Tableau) to dive deep into complex data, uncover actionable insights, and develop metrics and dashboards to monitor performance and compliance.

  • Project and Program Management: Deliver moderately complex process improvement projects from initiation to delivery, ensuring they meet specified timelines and deliver expected results (ROI, customer satisfaction).

  • Stakeholder Management & Influence: Partner with cross-functional teams (e.g., Legal, HR, Finance, Operations, Tech teams) and senior leaders to gather requirements, align on goals, influence change, and resolve conflicts.

  • Automation & Standardization: Identify and implement opportunities for automation of reports and processes to enhance efficiency and scalability.

Essential Skills and Qualifications

  • Education: A bachelor’s degree in business, Finance, Engineering, Data Science, or a related analytical field is typically required. An advanced degree or relevant certifications (e.g., Lean Six Sigma Green/Black Belt, CPA) are preferred.

  • Experience:

  • Significant experience (typically 5+ years for Senior Analyst roles) in process improvement, program/project management, operations, or compliance roles.

  • Experience working with large, complex datasets and proficiency with data analysis tools like SQL, Excel, and data visualization platforms.

  • Proven ability to work successfully in an ambiguous and fast-paced environment.

  • Key Competencies:

  • Strong analytical and problem-solving skills, with the ability to dive deep and perform critical thinking.

  • Excellent written, verbal, and interpersonal communication skills to influence stakeholders at all levels.

  • Bias for Action and a history of personal ownership to get the job done.

  • Ability to invent and simplify processes and find innovative solutions.

Why Join Target Plus:

  • Be part of a high-growth, high-impact team shaping the future of Target’s digital marketplace.

  • Work in a dynamic, data-driven environment with opportunities to innovate and lead.

  • Collaborate with talented professionals across analytics, merchandising, and product.

  • Enjoy a culture of inclusion, continuous learning, and career development.

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About Target

Target

Target

Public

Target 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