RCC Business Operations Analyst

In this role, you will be the analytical backbone of RCC AMR Operations partnering directly with business leaders to understand performance challenges, define what success looks like, and translate those needs into data solutions that drive meaningful operational decisions. You will own the end-to-end development and implementation of KPIs and metrics frameworks across structured and unstructured datasets that align global teams on a single source of truth, while building the scalable data infrastructure required to track, surface, and act on those metrics in real time. Your work connects business strategy to technical execution, every insight you deliver and every framework you build is in direct service of a clear, measurable business outcome. Bachelor’s degree in computer science, mathematics, engineering, statistics, econometrics or other quantitative field and 8 + years of professional experience in advanced analytics, data science, or machine learning, with demonstrated ability to translate business objectives into analytical frameworks and measurable outcomes. Proven experience defining, developing, and implementing KPIs or operational metrics frameworks particularly for new programs, systems, or technologies where measurement frameworks don't yet exist including aligning cross-functional stakeholders on definitions, documenting calculation methodology, and maintaining data consistency across teams and over time. Demonstrated ability to engage directly with business stakeholders, understand operational needs and business impacts, and translate those needs into precise analytical requirements, data models, and reporting solutions that enable data-driven decision-making at all levels of the organization. Advanced SQL proficiency and experience with Python for data analysis and manipulation along with proficiency in data visualization tools (Tableau preferred) with the ability to translate complex findings into clear, actionable insights and recommendations for both technical and non-technical audiences, including senior leadership. Proven ability to take initiative, build trust, and develop strong working relationships with cross-functional teams and business partners comfortable influencing decisions, navigating an organization, and driving alignment across competing priorities without direct authority. Demonstrated ability to approach ambiguous, complex business problems with curiosity and structured problem-solving translating undefined challenges into clear analytical frameworks and actionable recommendations while remaining calm and adaptable under pressure. Hands-on experience with text analytics, NLP, and sentiment analysis including working with conversation or transcript data at scale. Master's degree in a quantitative field. Familiarity with cloud data platforms, particularly Snowflake and AWS. Hands-on experience working with Snowflake, Hadoop, Apache Airflow and experience optimizing SQL queries on large data, Snowflake AI and Tableau AI Experience in customer experience analytics, contact center operations, or customer interaction measurement. Hands-on experience leveraging LLMs/Generative AI to improve productivity and generate new insights. Previous experience in stakeholder management and large-scale cross-functional project work.