As a Senior Associate in Pyxis Data Operations, you will support the delivery of data-driven insights to clients by managing technical execution and leading quality assurance initiatives. This role requires advanced data analysis skills, project coordination, and effective client communication.

• A Bachelor’s or Master’s degree
• 1-3+ years of data analytics or related experience
• High proficiency in summarizing technical concepts and translating analytics to business impact
• Proficiency in SQL for data analysis including experience with basic regex expressions
• Experience with Python for data analysis and Git/Github for codebase management
• Familiarity with common machine learning topics; NLP knowledge is a nice-to-have
• Experience working in a continuous improvement environment

• Conduct deep-dive data analysis and root cause investigations on time-series trends, quality gaps, and ML output issues
• Partner with ML engineers to review, refine, and optimize tagging models and training data
• Execute data cleaning, manipulation, and transformation using SQL, Python, and regex
• Act as the technical lead for assigned client relationships, managing the execution of deliverables
• Translate complex analytical outputs into clear, client-facing materials and presentations
• Coordinate with ML, Data Ops, and Commercial teams to orchestrate quality assurance (QA) and quality control (QC) efforts
• Drive improvements in QA/QC methodologies through automation and tool development

• Employees at Bain are often offered comprehensive health coverage for employees and families, including mental, emotional, and behavioral health resources, with access to counseling, coaching, fitness, and fertility support (varies by location), plus strong financial protection (life, accident, disability; some offices add critical illness), tax-efficient programs, retirement savings, and extras like travel insurance, transportation, and mobile phones. Flexible time off and accommodations include paid holidays, vacation, personal/sick time, part-time/reskilling options, multiple leave paths, and (U.S.) 21 weeks of family leave for all parents; a mentorship-driven culture provides lifecycle career support, training, tuition assistance, and connection to a 19k-member alumni network.