Data Operations Analyst (Bangladesh)

Commure
Dhaka, BangladeshPosted 27 March 2026

Tech Stack

Job Description

Data Operations Analyst (Bangladesh) At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 https://fortune.com/ranking/future-50/ and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. ABOUT THE ROLE We are looking for a Data Operations Analyst to join our RCM Global Operations team. This individual will be responsible for ensuring the accuracy and reliability of key processes and data, supporting our mission to improve the efficiency and effectiveness of healthcare providers. This is a high-impact role requiring extreme attention to detail, a focus on quality, and the ability to work across different functions to maintain the highest standards. The role requires a commitment to excellence, the ability to handle ambiguity, and a passion for continuous improvement. WHAT YOU'LL DO - Quality Assurance and Documentation: Conduct quality assurance checks on operational processes, ensuring that all details are correct and there are zero errors. - Process Adherence: Follow detailed processes meticulously and ensure documentation is comprehensive and up-to-date. - Data Analysis: Analyze large datasets and perform quality checks using SQL and other tools to identify discrepancies, optimize processes, and support business decisions. - Instruction Creation: Write detailed instructions and process documents, ranging from simple to complex, to guide internal teams effectively. - Communication: Communicate clearly and effectively in both written and verbal formats, ensuring that complex topics are explained in an easily understandable manner. - Cross-Team Collaboration: Work closely with different teams, such as Product, Engineering, Sales, and Account Management, to uphold quality standards and solve emerging issues. WHAT YOU HAVE - Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Economics, or a related field, or equivalent work experience - Extreme Attention to Detail: Ability to spot discrepancies and ensure accuracy in all aspects of the role. - SQL Proficiency: Experience with SQL for data querying and analysis, including working with large datasets to maintain data integrity. - Strong Documentation Skills: Ability to create, maintain, and follow detailed process documentation. - Communication Skills: Excellent written and verbal communication skills, capable of explaining complex topics clearly. - Ownership and Accountability: A mindset of taking full ownership of responsibilities and a commitment to high-quality output. - Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage ambigu ... (truncated, view full listing at source)
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