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Analyst Comp Intel Insights
Analyst Comp Intel Insights-March 2024
Bangalore
Mar 1, 2026
About Analyst Comp Intel Insights

  Target is an iconic brand, a Fortune 50 company and one of America's leading retailers. At

  Target, we have a vision: to become the best - 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 $106 billion retailer offers the innovative, guest-inspiring items that Target is known and loved for. Our goal is to deliver exceptional value, quality and style to elevate Target as the premier retailer in a competitive global marketplace. Through intelligent and progressive business strategies that make the most of Target's resources and partnerships worldwide, Merchandising works across product categories to create a localized shopping experience online and in our 1900+ stores.

  As an Analyst in the Competitive Intelligence Insights space, you will be responsible for creating actionable insights on pricing trends across our competitive set. Target's competitive pricing program and pricing insights is dependent on timely, accurate, and efficient collection of the competitor data generated by this team. You'll work to rapidly advance this capability and help build & grow this insight capability.

  Your responsibilities will include, but will not be limited to:

  Develop and deliver weekly insights on competitor pricing trends for assigned key

  businesses

  Keep key pricing partners current on competitor trends and pricing investments that could

  inform strategy shifts in Target's approach

  Build category context to pair with rigorous data analysis on the drivers of competitive

  intel metrics and performance versus enterprise objectives

  Solve defined problems of high complexity and streamline/redefine processes using

  structured techniques or automation

  Drive stakeholder and organizational awareness to performance metrics by creating and

  publishing dashboards, performing deep dive analyses to provide insight into effectiveness

  of competitive intel strategies and operations

  Use problem solving principles, strong critical thinking and partnership with product,

  pricing operations and insights teams to increase ROI on competitive data acquisition

  Culture, Communication & Training

  Drive positive, inclusive, engaged culture and best practices for all of Pricing & Promotions

  Center of Excellence.

  Demonstrate sensitivity to cross-cultural nuances. Communicate effectively with team

  members and partners in various forums.

  Reporting/Working Relationship

  Reports to Sr. Manager, Competitive Intelligence Insights

  Job Requirements

  Minimum Requirements

  MBA-Retail/Operations management with 1-3 years of experience

  OR

  Graduate - Business/Commerce/Economics/Science/BE/B Tech with 4-7 years of experience

  Advanced knowledge in Microsoft Excel and SQL

  Experience in data analysis and preparing dashboards for interpreting business insights

  Analytical, self-starter, curious and thrives on learning new capabilities

  Excellent verbal and written communication

  Ability to effectively present in meetings of all sizes and formats

  Strong project management skills

  Desired Requirements

  Prior retail/e-commerce experience

  Basic knowledge in financial analytics methodologies and concepts

  Six sigma expertise (knowledge of tool and lean principles application)

  Project management expertise

  Experience working on Python/R script

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