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Analyst-Merchandising Operations

Lowe's

Analyst-Merchandising Operations

Lowe's

Mooresville, NC (SSC) 1999

·

On-site

·

Full-time

·

5d ago

Do your Best Work in Mooresville

This position is based at our headquarters in Mooresville, North Carolina. Our corporate office is a space where you can collaborate and do your best work. Take a walk, grab a bite (or a cup of coffee), work out or get a check-up – we invest in you so you can find your inspiration.

Your Impact

The Analyst-Merchandising Operations role works in one of the functional areas of Merchandising Operations supporting their assigned line of business. The Analyst will focus on their role

appropriate level of responsibilities from a run the business, basic consulting and day to day operations standpoint. Key functional areas include Vendor/Item Onboarding, Reporting, Operational Services, Vendor Compliance, Product Content, Data Governance and Tech Enablement. Responsibilities may vary based on the area of work.

What You Will Do:

  • Analytics-Run the Business, basic consulting. Understand, read reporting, internal and external facing applications & Microsoft Tools (Consumer of info.)​

  • Building Relationships-Builds trust through daily execution and meets SLAs. Reliable and resourceful to solve challenges; pleasant, supportive; active listener.

  • Communication-Handles the day-to-day point of contact with merchant partners.

  • Issues Resolution-Handle Run-the-Business issues and escalate when needed.

  • Reporting-Read and act on reports.

  • Process Improvement-Provides ideas on process improvement needs.

  • Technology Requirements-Provide input and feedback. Able to test solutions as needed.

  • Project Management-Ability to manage own time/priorities; input into larger efforts; understanding of business impacts and connectivity.

  • Liaison with international partners as needed.

  • Merchandising & Vendor Engagement-Day to day based on business needs and vendor support.

  • Business alignment-Focused on merchants, vendors and store merchandising individual contributors.

  • Creates usage standards, guidelines, and statements of direction to track the quality, availability, and applicability of data through to full business integration.

  • Tests, implements, and supports technology solutions to ensure efficiency and business continuity.

  • Uses relevant data, analytics, and customer feedback to help develop and drive the solutions offered to Lowe's internal customers.

  • Works to on-board and train new users on best practices and system updates and/or changes for all merchandising information systems

Required Qualifications

  • Bachelor’s degree Business, Finance, Accounting or Related or equivalent experience

  • 2 years' experience in developing, designing and operating business solutions in a production environment

Preferred Skills/Education

  • Experience in Microsoft products (Outlook, PowerPoint, etc.) and relational business software

Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

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About Lowe's

Lowe's

Lowe's

Public

Specializing in home improvement.

10,001+

Employees

Mooresville

Headquarters

Reviews

3.4

4 reviews

Work Life Balance

2.0

Compensation

1.5

Culture

2.5

Career

1.8

Management

1.5

15%

Recommend to a Friend

Pros

Work environment can be enjoyable

The actual work itself

Basic employment opportunity

Cons

Very low wages and poor salary growth

Benefits being stripped away or eliminated

Poor management and leadership

Salary Ranges

19 data points

Mid/L4

Senior/L5

Director

Mid/L4 · Data Engineer

3 reports

$137,471

total / year

Base

$105,747

Stock

-

Bonus

-

$137,471

$137,471

Interview Experience

52 interviews

Difficulty

4.1

/ 5

Duration

21-35 weeks

Offer Rate

23%

Experience

Positive 68%

Neutral 16%

Negative 16%

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