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Insights Analyst

DSW Designer Shoe Warehouse

Canada, Kentucky, United States · 정규직

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경험
2년 이상
샐러리
USD 74,000 – USD 82,000 / year
채용 공고
1
게시됨
4시간 전
작업 모드
사무실에서
교육
Bachelor's Degree
재개하다
신청 시 필수 사항

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Position Overview

The Insights Analyst at Designer Brands Canada is a vital contributor within the DBI Analytics Center of Excellence, tasked with collecting, analyzing, and interpreting both quantitative and qualitative data. This role transforms data into strategic intelligence that guides the decision-making process across product development, merchandising, marketing, and customer engagement initiatives.

Key Responsibilities

  • Act as a strategic advisor to departments including Merchandising, Marketing, MP&A, Design, E-commerce, Stores, and executive leadership, providing insights that influence product, brand, marketing, and customer strategies.
  • Execute regular and ad hoc market research such as consumer surveys, focus groups, competitor benchmarking using syndicated data sources including Circana POS and Consumer panel data, competitive financial analysis, and customer feedback through reviews and surveys to identify market trends and business opportunities.
  • Produce executive-level reports and presentations that summarize market trends, earnings support, vendor presentations, and customer funnel studies on a scheduled and as-needed basis.
  • Utilize data visualization tools to create compelling presentations delivering actionable insights for senior leadership including the CEO, CFO, and Brand Presidents.
  • Serve as a subject matter expert on market and consumer data sources, facilitating partner training in data interpretation and encouraging self-service analytics where appropriate.
  • Support key enterprise strategic priorities such as Customer First, Product Obsessed, and Transformation Focused through detailed analysis and collaboration across teams.

Qualifications and Skills

  • Minimum 2 years of experience in market research, business analytics, consumer research, or related fields, preferably in retail, consumer goods, or e-commerce sectors.
  • Bachelor's degree in Business, Market Research, Statistics, Economics, or a related discipline.
  • Intermediate proficiency in Microsoft Office suite, especially Excel and PowerPoint.
  • Strong ability to translate complex datasets into clear insights that inform strategic business decisions.
  • Experience with retail analytics, market intelligence, and consumer research methodologies including syndicated data interpretation and consumer behavior analysis.
  • Excellent storytelling and communication skills for engaging executive audiences and cross-functional teams.
  • Proficiency with data visualization and reporting platforms such as Strategy (or similar tools), Excel, and collaboration software.
  • Strong organizational capabilities managing multiple priorities independently and collaboratively within a fast-paced environment.
  • Ability to communicate effectively as a liaison between analytics teams and business stakeholders.
  • Curious, proactive, and able to manage ambiguity while aligning with overarching business goals.

Preferred Attributes

  • Background or experience working with retail clients or in the retail industry.
  • Familiarity with data platforms like Tableau or other reporting solutions.
  • Experience using customer experience (CX) platforms and tools.
  • Project management or related organizational experience.

Compensation

The salary range for this position is $74,000 to $82,000 annually.

Additional Information

This role exists within Designer Brands Canada as a current vacancy. The company strives to maintain an inclusive environment where diversity is celebrated and accommodations are available for applicants with disabilities or special needs upon request. This position may involve the use of artificial intelligence tools during the recruitment process for tasks like resume screening; however, all final hiring decisions are made by hiring managers.

Work styles they’re looking for

의사소통 시간 관리 협동 세부 사항에 대한 주의 Storytelling with Data Proactive learning

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