Oracle GBU Marketing
Produced 7 dashboards to track key metrics and inform data-driven decision-making for Oracle's industry marketing organization
Produced 7 dashboards to track key metrics and inform data-driven decision-making for Oracle's industry marketing organization
Role
GBU Marketing Ops Intern
GBU Marketing Ops Intern
Tools/Skills
Oracle Data Visualizer
Oracle Data Visualizer
Team
2 Biz Operations Analysts
2 Biz Ops Analysts
Duration
12 weeks (2021)
8 weeks (2024)
OVerview
My Summer @ Oracle
Working alongside the senior business operations analyst for GBU marketing and senior manager of GBU marketing operations, I supported the improvement of how marketing performance data was visualized, shared, and understood. My work focused on streamlining reporting, strengthening data accuracy, and making analytics more accessible across teams.
work
Redesigned how marketing data was organized and communicated to make insights clearer, faster, and more actionable for global teams
Due to NDA, I can’t share the reporting interfaces or datasets; however, over 12 weeks our work focused on translating complex marketing data into accessible visual systems, improving workflow usability, and strengthening data transparency across teams.
Due to NDA, I can’t share the reporting interfaces or datasets; however, over 12 weeks our work focused on translating complex marketing data into accessible visual systems, improving workflow usability, and strengthening data transparency across teams.
Due to NDA, I can’t share the reporting interfaces or datasets; however, over 12 weeks our work focused on translating complex marketing data into accessible visual systems, improving workflow usability, and strengthening data transparency across teams.
impact
Driving measurable improvements in usability, efficiency, and cross-team collaboration
By standardizing reporting workflows and optimizing data access, my work enabled global marketing teams to interpret insights faster, reduce manual effort, and make more confident, data-driven decisions.
By standardizing reporting workflows and optimizing data access, my work enabled global marketing teams to interpret insights faster, reduce manual effort, and make more confident, data-driven decisions.
By standardizing reporting workflows and optimizing data access, my work enabled global marketing teams to interpret insights faster, reduce manual effort, and make more confident, data-driven decisions.
Takeaways
Translating complex data into insights helped me gain confidence navigating enterprise systems and understand the impact of thoughtful design
Due to NDA, I can only share an overview of my work on this project. If you’re interested in learning more about what I worked on in more detail at Oracle, please feel free to reach out!
Due to NDA, I can only share an overview of my work on this project. If you’re interested in learning more about what I worked on in more detail at Oracle, please feel free to reach out!
Due to NDA, I can only share an overview of my work on this project. If you’re interested in learning more about what I worked on in more detail at Oracle, please feel free to reach out!
Project outcomes
Initially, working with large-scale marketing data felt overwhelming, but by leveraging my existing Tableau and SQL skills, I was able to make sense of the enterprise reporting system and translate complex datasets into actionable insights. This process helped me build confidence in navigating and designing within data-heavy environments.
Why this matters
This project marked my first step toward thinking like a UX designer in a data context. I began to consider the needs and behaviors of the people who would actually use these dashboards and resources, forming early ideas about user archetypes, accessibility, and workflow efficiency. It helped me see the value of designing not just for accuracy, but for usability.
Looking ahead
Through this experience, I realized I value the intersection of creativity and data-driven design. Thinking critically about how to simplify the user experience while working with complex datasets has influenced how I approach future projects, encouraging me to design tools and systems that are both functional and intuitive for diverse users.
Project outcomes
Initially, working with large-scale marketing data felt overwhelming, but by leveraging my existing Tableau and SQL skills, I was able to make sense of the enterprise reporting system and translate complex datasets into actionable insights. This process helped me build confidence in navigating and designing within data-heavy environments.
Why this matters
This project marked my first step toward thinking like a UX designer in a data context. I began to consider the needs and behaviors of the people who would actually use these dashboards and resources, forming early ideas about user archetypes, accessibility, and workflow efficiency. It helped me see the value of designing not just for accuracy, but for usability.
Looking ahead
Through this experience, I realized I value the intersection of creativity and data-driven design. Thinking critically about how to simplify the user experience while working with complex datasets has influenced how I approach future projects, encouraging me to design tools and systems that are both functional and intuitive for diverse users.
Project outcomes
Initially, working with large-scale marketing data felt overwhelming, but by leveraging my existing Tableau and SQL skills, I was able to make sense of the enterprise reporting system and translate complex datasets into actionable insights. This process helped me build confidence in navigating and designing within data-heavy environments.
Why this matters
This project marked my first step toward thinking like a UX designer in a data context. I began to consider the needs and behaviors of the people who would actually use these dashboards and resources, forming early ideas about user archetypes, accessibility, and workflow efficiency. It helped me see the value of designing not just for accuracy, but for usability.
Looking ahead
Through this experience, I realized I value the intersection of creativity and data-driven design. Thinking critically about how to simplify the user experience while working with complex datasets has influenced how I approach future projects, encouraging me to design tools and systems that are both functional and intuitive for diverse users.
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