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The Product Operations Analyst will enhance customer experience by liaising between product management and customer-facing teams, resolving issues, and advocating for product quality.
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About us:
Working at Target means helping all families discover the joy of everyday life. We
bring that vision to life through our values and culture. Learn more about Target here .
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. Working at Target means
the opportunity to help all families discover the joy of everyday life. Caring for our
communities is woven into who we are, and we invest in the places we collectively
live, work and play. We prioritize relationships, fuel and develop talent by creating
growth opportunities, and succeed as one Target team. At our core, our purpose is
ingrained in who we are, what we value, and how we work. It’s how we care, grow,
and win together.
About the Team:
Roundel, Target’s retail media network, provides leading digital advertising solutions
that connect brands with millions of Target guests in a premium and brand-safe
environment. With deep insights from Target’s customer base, Roundel helps
advertisers drive engagement and measurable sales both online and in-store.
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.
Roundel, Target’s retail media network, provides leading digital advertising solutions
that connect brands with millions of Target guests in a premium and brand-safe
environment. With deep insights from Target’s customer base, Roundel helps
advertisers drive engagement and measurable sales both online and in-store.
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
Job requirements:
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
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
Job requirements:
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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