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Dick's Sporting
Dick's Sporting

Sporting goods retail chain

Analyst - Omni Strategy

职能产品
级别中级
地点Customer Support Center
方式现场办公
类型全职
发布1个月前
立即申请

At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

OVERVIEW:

At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve. If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

  • Monday
  • Friday 8am - 5pm

This role will rotate weekends once every 7 weeks and rotate holidays.

Overview:

The Analyst is a key contributor to the operational success of the omni order management team, combining strategic thinking with analytical execution to optimize processes, improve data visibility, and enhance cross-functional collaboration. The Analyst will serve as a subject matter expert in omni order management and system functionality, driving improvements and supporting team development. In addition, the Analyst is responsible for driving operational excellence and reducing risk through proactive issue identification, data-driven insights and process optimization. This role plays a critical part in improving customer experience and business performance by minimizing order cancellations, ensuring accurate product setup and enabling the team to manage workload effectively.

Job Duties and Responsibilities

Strategic & Analytical Support:

  • Collaborate with the Manager and Business Analyst to define and implement best practices for coordinator workflows.

  • Pull and analyze data to support meetings with business partners, providing insights that drive decision-making.

  • Monitor order fulfillment through coordinators, including aged orders and presale order processes.

  • Track and escalate product setup issues such as missing DIMs and UPCs.

Cross-Functional Engagement:

  • Lead Ship-From-Store (SFS) review meetings with business partners to ensure alignment and issue resolution.

  • Represent the team in cross-functional meetings (e.g., VC Real Estate, Launch Planning) to provide operational insights and updates.

  • Support business partners with eligibility requirements and ad-hoc requests.

Performance Optimization/Process & Documentation Management

  • Maintain and update process documentation based

  • Assist in training new associates and team members by sharing subject matter expertise and process knowledge.

  • Drive initiatives to reduce retailer cancel rates and improve order accuracy.

  • Identify and implement solutions to reduce athlete contacts related to WIZMO (Where Is My Order) inquiries.

Data & Systems Expertise:

  • Obtain Alteryx certification and contribute to the development and maintenance of data queries and workflows.

  • Become a subject matter expert in assigned business areas and related systems, providing guidance and support to the team.

QUALIFICATIONS:

  • Bachelor's Degree (4 year college degree) or equivalent work experience

  • 5-7 years experience, including a minimum of 5 years cross functional retail experience

  • Business Analyst work experience required

  • Heavy use of Microsoft Office

  • Alteryx certification

  • Data Analysis (Databricks, Intera, SCI)

  • Extensive cross functional Retail knowledge

  • Comfortable with information systems

  • Ability to work at a detailed level while maintaining an overall project perspective

  • Working knowledge of OLAP tools

  • Strong analytical skills with experience in data tools such as Excel, Alteryx, Power BI, or similar platforms.

  • Problem-solving skills with the ability to translate data into actionable insights

  • Excellent communication and collaboration skills across cross-functional teams.

  • Ability to manage multiple priorities and work independently in a fast-paced environment.

  • Detail-oriented with a proactive approach to problem-solving.

  • Experience in process documentation and operational support preferred.

VIRTUAL REQUIREMENTS:

At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.

To ensure a smooth and secure experience, please note the following:

  • Cameras must be on during all virtual interviews.

  • AI tools are not permitted to be used by the candidateduring any part of the interview process.

  • Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!

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关于Dick's Sporting

Dick's Sporting

Dick's Sporting Goods, Inc. is an American chain of sporting goods stores founded in 1948 by Richard "Dick" Stack. It is the largest sporting goods retailer in the United States and is listed on the Fortune 500.

10,001+

员工数

Coraopolis

总部位置

$2.8B

企业估值

评价

10条评价

3.7

10条评价

工作生活平衡

3.2

薪酬

3.4

企业文化

4.1

职业发展

3.0

管理层

3.2

65%

推荐率

优点

Great team and coworkers

Fun and positive environment

Flexible hours

缺点

Management issues

Long hours during busy periods

Limited advancement opportunities

薪资范围

45个数据点

Senior/L5

Staff/L6

Senior/L5 · Senior Data Engineer

4份报告

$160,295

年薪总额

基本工资

$123,304

股票

-

奖金

-

$156,000

$163,835

面试评价

4条评价

难度

3.3

/ 5

时长

14-28周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Sales Scenarios

Customer Service