Data Operations Analyst, Pyxis
Description & Requirements
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
WHO YOU’LL WORK WITH
You’ll join our Pyxis team within Bain’s digital capabilities ecosystem. Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today.
We help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon, focusing on delivering our data and insights in the way that best suits client needs. We augment our datasets with best-in-class machine learning and AI, working across data operations, machine learning, and commercial teams to deliver exceptional results.
WHERE YOU’LL FIT WITHIN THE TEAM
As a Senior Associate, Pyxis Data Operations, you will support the delivery of high-quality, data-driven insights to clients by owning the technical execution of deliverables and leading cross-functional quality assurance initiatives. This role combines advanced data analysis capabilities with strong project coordination and client-facing communication.
You will serve as the internal lead for strategic client relationships, working across data operations, machine learning, and commercial teams to ensure the accuracy, clarity, and impact of insights delivered to clients. You will operate in a continuous improvement environment and contribute to enhancing delivery processes and data quality through automation, documentation, and close collaboration with internal technical teams and external stakeholders.
WHAT YOU’LL DO
Technical Execution & Analysis (50%)
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
Leverage foundational machine learning and NLP knowledge to interpret outputs and guide improvements
Client Delivery & Communication (25%)
Act as the technical lead for assigned client relationships, managing the execution of deliverables and ensuring data accuracy and relevance
Translate complex analytical outputs into clear, client-facing materials and presentations
Provide guidance to internal delivery teams on framing and communicating insights
Cross-functional Coordination & Project Management (15%)
Coordinate with ML, Data Ops, and Commercial teams to orchestrate quality assurance (QA) and quality control (QC) efforts for all client-facing datasets
Track timelines and project dependencies to ensure timely and accurate delivery of data products
Own documentation and continuous improvement efforts related to delivery workflows and QA tools
Process Improvement & Team Contribution (10%)
Drive improvements in QA/QC methodologies through automation and tool development
Contribute to internal team upskilling by sharing analytical techniques and coding best practices
Recommend improvements to data delivery processes based on analysis of recurring issues and feedback
ABOUT YOU
Required Experience
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, using data to define processes that continually enhance models and data quality
Experience working with consumer panel and/or market measurement data is a plus
Working Model
Hybrid: This role follows a hybrid model, requiring in-office presence at least three days per week.
U.S. Compensation Information
Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below).
Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:
In Illinois, the good-faith, reasonable annualized full-time salary range for this role is between $70,000 – $100,000 per year
Annual discretionary performance bonus
This role may also be eligible for other elements of discretionary compensation
4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
Bain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.
Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck
Generous paid time off, including parental leave, sick leave and paid holidays
Fully vested 401(k) company contribution
Paid Life and Long-Term Disability insurance
Annual fitness reimbursements