Product Ops Analyst - Roundel

Posted:
3/8/2026, 8:06:21 PM

Location(s):
Karnataka, India ⋅ Bengaluru, Karnataka, India

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Data & Analytics ⋅ Operations & Logistics

About us:

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is

important, and you'll build relationships by being authentic and respectful.

Team overview:

A role with Roundel is an opportunity to represent the company in the sales of digital media, advertising and custom marketing campaign solutions to the national media and advertising agency market. You’ll develop and present market-leading media strategies and smart solutions that exceed our clients’ needs — all with a focus on delivering on Target’s unmatched brand promise. Apply your proven success in leveraging data to distill the relevant insights that influence clients. Bring your passion for this rapidly evolving environment and have a hand in delivering the profitable financial results that benefit the entire business.

Product Teams at Target Corporation are accountable for the delivery of business outcomes enabled through technology and analytic products that are easy to use, easily maintained and highly reliable. Product teams have one shared backlog that is inclusive of all product, technology and design work.

Role overview:

As a Product Ops Analyst within Roundel, you'll play a critical role in improving product performance and driving business outcomes. The role involves conducting exploratory data analysis to identify opportunities, building and maintaining key reports and dashboards, and working closely with Product Owners to detect and resolve product issues. You will also collaborate with Data Engineering and Data Science teams to implement new processes, activate predictive models, and enhance existing workflows.

This position requires a strong test-and-learn mindset and the ability to navigate a fast-paced, evolving retail media landscape. Your efforts will directly support Roundel’s broader objectives by uncovering insights, addressing data quality issues, and ensuring products deliver consistent, high-impact results.

Principal Duties & responsibilities:

  • Build reports using existing data to monitor key product metrics.

  • Perform data analysis and research to identify opportunities for improving product performance.

  • Support the design of product strategies and leverage technology to drive product efficiency.

  • Partner with cross-functional teams such as Data Science, Engineering, Product Operations, and Business teams to execute key product initiatives and support Roundel products.

  • Assist the Senior Product Analyst in creating and utilizing future product implementation plans and roadmaps.

  • Gather, review, and analyse data to answer business questions and guide decisions aimed at improving the Roundel product portfolio.

  • Develop and monitor Product Health metrics that Product Managers use to track performance.

  • Test, monitor, and measure new features in production to ensure they function as expected.

  • Demonstrate comfort with ambiguity and apply a test-and-learn mindset.

  • Analyse trends to uncover potential product issues and opportunities to enhance existing features.

  • Partner with the global Product Operations team to advocate for and implement best practices, processes, routines, and tools.

Reporting/ Working relationships:

Reports to Sr. Manager Prod Operations Analytics

About you:

  • Graduate in any discipline with 1-5 years’ experience

  • Expertise in SQL querying and performing analytical operations on big data

  • Understanding and hands on experience on visualization tools like Power BI, Domo, Lookr (or similar)

  • Passion for using data to explain or solve complex business problems and influence invention of new systematic and operational processes

  • Problem solving skills and ability to multi-task

  • Ability to communicate findings clearly and concisely

  • Excellent communication skills

  • Knowledge in Microsoft Excel, Word, PowerPoint (or similar) applications required

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