Overview

The Team
Medallia's 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.

The Role
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.

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

Core Competencies for Success

• Analytical Skills: Strong foundation in statistical analysis and quantitative problem-solving, with the ability to apply appropriate methodologies to complex business questions. Comfortable working with both structured and unstructured data sources, including large-scale behavioral, operational, and text-based feedback datasets. Able to select and apply analytical techniques and interpret results with rigor and sound judgment to generate actionable business insights.
• Verbal & Written Communication: Ability to clearly and effectively communicate complex quantitative and qualitative findings to both technical and non-technical audiences. Skilled at synthesizing analysis into structured narratives, creating clean and visually compelling presentations, and explaining methodologies, results, and key takeaways with clarity and accuracy.
• Project Management: Demonstrated ability to independently manage multiple concurrent projects, prioritize effectively, and deliver high-quality work within established timelines and scoped effort. Proactively identifies risks, dependencies, and blockers, communicates status clearly, and consistently follows through on commitments in a fast-paced, client-driven environment.
• Business Understanding: Ability to quickly build an understanding of client business objectives, organizational dynamics, and operational priorities in order to appropriately contextualize analysis and support practical, business-relevant recommendations. Demonstrates an understanding that analytical insights should ultimately drive measurable business impact and value realization.

Qualifications

Minimum Qualifications

• Experience: 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.
• Technical Tools: 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)
• Generative AI and Analytical Judgement: 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.
• Education: 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).

Preferred Qualifications

• 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.

Medallia is committed to equal pay and transparency. The annual base salary range for this position is $71,000 - $114,000. This role is bonus eligible. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.

Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.