Medallia Strategy Analytics, Analyst

Medallia•Mclean, VA

About The Position

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. The Medallia Strategy Analytics Team (MSAT) partners with some of the world’s leading brands to help them better understand and improve the experiences they deliver to customers and employees. Through advanced analytics, strategic insight generation, and deep business context, MSAT helps organizations identify the operational and experience drivers that most influence loyalty, retention, growth, and overall business performance. Our work plays a critical role in helping Medallia customers mature their experience management programs, demonstrate measurable ROI, and drive action from complex data. Internally, MSAT also serves as a strategic analytics partner across Medallia, collaborating with Sales, Product, and Services teams to support customer growth, retention, and innovation. MSAT operates at the intersection of analytics, business strategy, and customer experience. Team members are exposed to a wide variety of industries, business models, and analytical challenges in a fast-paced environment that values curiosity, rigor, adaptability, and continuous learning. As an MSAT Analyst / Senior Analyst, you will apply statistical and analytical methodologies to help leading organizations solve complex customer and employee experience challenges. You will work with large-scale structured and unstructured datasets to uncover meaningful insights, identify operational and behavioral drivers, and support recommendations that help clients improve business performance and realize greater value from their Medallia programs. In this role, you will partner closely with teammates across MSAT and the broader Medallia organization to deliver rigorous analysis, clear storytelling, and actionable insights for Medallia’s customers. You will be expected to manage multiple projects with a high degree of ownership, operate effectively in fast-paced and evolving environments, and demonstrate curiosity and adaptability while building analytical and business expertise across a diverse set of industries and use cases.

Requirements

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).

Nice To Haves

Master’s degree in Statistics, Data Science, Economics, Behavioral Science, Quantitative Social Sciences, Operations Research, or a related analytical field.
Experience working with customer feedback and operational datasets, including survey, contact center, digital, behavioral, or operational data. Familiarity with how customer experience metrics connect to operational processes and business performance across functions such as customer care, digital experience, or service delivery.
Exposure to Customer Experience (CX), Employee Experience (EX), Voice of Customer (VoC), or similar customer insights programs. Familiarity with the Medallia platform or related experience management/customer analytics technologies.

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