Medallia Strategy Analytics, Analyst

About the role

Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike. We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees. We empower exceptional people to create extraordinary experiences together. Bring your whole self.

Responsibilities

• Apply statistical and analytical methodologies to solve complex business problems using structured and unstructured datasets, ensuring analytical accuracy, methodological rigor, and sound interpretation of results.
• Translate quantitative & qualitative findings into clear, structured, and visually compelling presentations tailored to technical and non-technical audiences.
• Manage multiple concurrent projects and deliverables with a high degree of ownership, proactively communicating timelines, risks, blockers, and dependencies in fast-paced environments with evolving business needs.
• Collaborate cross-functionally with Sales, Professional Services, Product, and Engineering teams to support client and business needs.
• Leverage analytical tools and generative AI technologies to improve workflow efficiency, accelerate insight generation, and support scalable processes while maintaining strong quality standards and analytical judgment.

Qualifications

• Relevant experience applying statistical and analytical techniques to solve business or research problems through data analysis, consulting, academic research, or related analytical environments.
• Familiarity with methodologies such as regression analysis, hypothesis testing, segmentation, forecasting, machine learning, or other advanced quantitative methods.
• Experience working in analytical coding environments and cloud-based data ecosystems such as R/RStudio, Jupyter Notebooks, BigQuery, Kubeflow, SQL, and similar tools used for large-scale data analysis and statistical modeling (Python familiarity is a plus).
• Demonstrated ability to leverage generative AI tools to improve analytical efficiency, support coding workflows, and accelerate insight generation, while applying strong critical thinking and technical judgment to validate outputs, identify errors, and ensure analytical accuracy and methodological soundness.
• Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Engineering, Computer Science, Quantitative Social Sciences, Actuarial Science, or a related analytical field (or equivalent practical experience).